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Invoicing Made Simple: How Automated Data Extraction Can Save You 75% Cost in Finance 
Invoicing Made Simple: How Automated Data Extraction Can Save You 75% Cost in Finance 
The world of finance is jam-packed with data. As the landscape of commercial transactions continues to evolve, finance professionals must deal with an influx of invoices, receipts, and payments. To provide a unified view of invoice data, ensure timely payments and improve vendor relationships, enterprises are looking to adopt modern data extraction techniques. Fortunately, there’s a solution: automated invoice data extraction. By utilizing AI-based techniques, businesses can save up to 30–40% of the time typically spent on manual processing. Automating the capture and processing of invoice data allows finance teams to optimize their workflows, cut costs, and break down data barriers. This results in improved data visibility and better-informed decision-making, giving businesses a distinct competitive advantage. From Manual to Automated: How a Financial Services Company Reduced Costs and Boosted Efficiency A US-based global financial services organization handled over 500 invoices from multiple vendors and suppliers daily. The sheer volume of invoices meant their accounts payable team struggled to process them efficiently. Also, each invoice had a different layout, which made it challenging for their team to extract the relevant data accurately. Moreover, a data quality audit revealed that a significant portion of their financial data was incorrect due to human error in the data entry process. On average, the cost of fixing these errors was $53.50 per paper invoice, leading to losses that ultimately affected their bottom line. Recognizing the urgent need to enhance invoice processing efficiency and data accuracy, the company opted for an automated invoice data extraction solution. By implementing this solution, the company successfully automated the extraction of crucial metrics from their invoices, including invoice number, total amount, and due date. As a result of the solution’s capability to manage multiple vendor invoicing formats and layouts, their team was able to effortlessly extract precise data with efficiency. The results were staggering. The implementation of automated invoice data extraction enabled the company to process a significantly higher number of invoices without manual intervention, saving them time and resources. A Sneak-Peak into How the Company Reduced Error-Related Costs With costs associated with manual labor for invoice processing eliminated, let’s explore how the global financial services enterprise effectively reduced its expenses. Here’s a breakdown specifically highlighting the cost implications of errors: The company processed 15,000 paper invoices per month, resulting in a 2% error rate or 300 invoices requiring correction. This error mainly occurred due to manual entry of data. The average cost to rectify each error was $53.50, resulting in a total monthly cost of $16,050 for those 300 invoices. However, after implementing the automated invoice data extraction solution, the company managed to reduce the error rate to less than 0.5%, leaving less than 75 invoices with errors that needed attention. Consequently, the new total cost of addressing errors for these 75 invoices amounted to $4,012.50 per month, showcasing a substantial 75% reduction in error-related expenses, representing yearly savings of roughly $48,000. This company’s success story serves as a compelling testament to the effectiveness of automated invoice data extraction solutions and highlights why it’s essential for any organization looking to stay ahead in the game. Automation AI: How the Global Financial Services Company Achieved Success in Invoice Processing The US-based company has revolutionized its financial operations by harnessing the power of automation and AI, resulting in significant cost savings, improved accuracy, and increased efficiency. Let’s examine their steps to achieve this transformation and see how automation and AI can give companies a competitive edge. Receipt Capture and Conversion: To start off the automated invoice data extraction process involves capturing receipts and converting them into an electronic format. The company received invoices primarily in PDF format through email. They were processed using optimized email capture and conversion methods to ensure high-quality electronic copies. This enabled accurate and efficient data extraction from the invoices. Data Extraction and Validation: This stage includes extracting and validating relevant information, including vendor name, invoice number, and total amount. The company employed state-of-the-art deep learning technology to automatically extract financial data, including handwritten text, from various sources. The extracted data was then converted into JSON format for seamless integration with other financial systems. To further enhance accuracy and speed, their invoice data extraction solution was integrated with OpenAI’s language processing models. Matching with Financial Records: Moving on, the invoice data is then matched with supporting documents, such as purchase orders and contracts. This additional step ensures that the transactions are valid and authorized for payment. At the financial services company, this matching process was automated using AI-powered algorithms that can quickly and accurately match financial data with corresponding records, reducing the need for manual intervention. Approval Routing: Here financial transactions are automatically routed for approval. This process involves sending the transaction to the payment department based on predefined rules and workflows. At the financial services company, this routing process was automated using AI-powered algorithms that can route transactions quickly and accurately, ensuring that the right people were involved in the approval process. Posting to Financial Systems: Once the invoices are approved, they are automatically posted to the financial systems. This ensures that the financial data is accurately recorded and available for reporting and analysis. At the financial services company, this posting process was automated using AI-powered algorithms that can post transactions quickly and accurately, reducing the need for manual data entry. Archiving for Audit and Compliance: Finally, the financial transactions are archived for future audit and compliance purposes. This involves storing the transactions in a secure and easily accessible location. At the company, this archiving process was automated using cloud-based storage solutions to securely store large volumes of financial transactions and make them easily accessible for reporting and analysis. LIKE.TG ReportMiner: The AI-Powered Solution for Automated Invoice Data Extraction Managing financial operations can be an arduous task, especially when extracting data from hundreds of invoices with different layouts and formats. With LIKE.TG ReportMiner, an AI-powered data extraction tool, financial organizations like the one we saw in this blog can easily extract necessary data from invoices containing different layouts. Our revolutionary LIKE.TG North Star feature leverages AI to create report models within minutes, allowing your team to focus on other high-value tasks. But that’s not all! LIKE.TG ReportMiner also offers streamlined data validation through its robust data quality rules transformation. This ensures that your data is always accurate and consistent, empowering you to make informed decisions and promoting compliance with regulations, thereby paving the way for operational efficiency. Don’t just take our word for it. Sign up for a free 14-day trial today and experience the power of LIKE.TG ReportMiner’s AI-driven data extraction for yourself!
Invoicing Made Simple: How Automated Data Extraction Can Save You 75% Cost in Finance 
Invoicing Made Simple: How Automated Data Extraction Can Save You 75% Cost in Finance 
For decades, processing an invoice essentially meant hand-keying information. The paper bills would pass through multiple touchpoints and require a lot of manual intervention. That has all changed in recent years with automated invoice processing, as enterprises look to reduce the transaction cycle and timeline of paying an invoice from several weeks to days or even minutes. It’s no surprise that automated invoice processing — powered by Artificial Intelligence (AI) and machine learning (ML) — has become a preferred approach for modern businesses. Given the fast adoption of AI data extraction, it’s safe to expect automation to continue being a driving force behind invoice processing. Manual vs. Automated Invoice Processing Manual invoice processing is an error-prone and time-consuming approach that isn’t very efficient — to say the least. It involves receiving paper invoices from vendors, performing manual data entry in the accounting system, matching it against the purchase orders for tolerances, making a scan to add it to the filing system, and sending it for approval. Afterward, each invoice is added to the ERP manually. Once all these steps are completed, then the payment is processed. Now that’s a lengthy manual process that consumes a lot of staff’s time and costs money. 51% of enterprises say manual data causes them the most problems in processing invoices. Enterprises need to quickly pull relevant information from invoices, available in an unstructured format, to process, validate, store, and approve payments in real time. And that’s where automated invoice processing comes in. It automates the entire process of receiving an invoice, extracting information from it, and adding the info to your ERP system. It significantly improves payment processing time, minimizes errors, and helps businesses take advantage of early payment discounts and avert overdue fees. Let’s take a closer look at some of the key benefits it brings to the table. Benefits of Automated Invoice Processing Time and money savings Automated invoice processing software minimize the risk of missing invoices. They save businesses from delayed payments, leading to penalties and strained vendor relationships. Making accurate and timely payments also help companies get discounted rates and favorable credit terms, contributing to a positive cash flow. Improved data accuracy Human error is unavoidable when processing invoices manually. It can easily lead to missed discounts, duplicate payments, and overpayments. On the other hand, using an-AI powered intelligent data capture technology minimizes the chances of human errors to virtually none. Increased productivity Examining invoices, identifying errors, validating their contents, and getting payment approvals are resource-intensive activities. Invoice processing automation eliminates the need to perform these tasks manually, allowing employees to focus on more critical jobs and become more productive. Higher employee morale Manual invoice processing isn’t just time-consuming but also a cumbersome and repetitive activity. Letting AI data extraction solutions take over allows employees to focus on more engaging and higher-value work that would improve their morale. Improved supplier relationships Automation simplifies and streamlines vendor invoice management, facilitating timely payments and efficient dispute handling. Maintaining good working relationships with suppliers goes a long way — it helps companies get quicker services and negotiate better terms, among other benefits. And there are a whole bunch of advantages of invoice workflow automation, including improved audit and regulatory compliance, reduced chances of fraud, and more. Here’s How It Works Some of the steps in setting up an automated invoice processing workflow are: Selecting a file source. This is where incoming invoices are stored. Generating an extraction template. You can also set up data quality rules to ensure consistency within data. Exporting the extracted data to a destination for approval. It’s as simple as that. An automated invoice processing software can leverage AI technologies like natural language processing and machine learning to easily capture important fields, including product or service description, quantity, price, tax information, payment terms, and more. Intelligent document processing software requires minimum human supervision. Modern invoice automation solutions allow users to create pre-defined validation rules to manage anomalies, errors, and missing fields. The validated data goes to the enterprise resource planning or accounting solution for payment approval and recordkeeping. From scanned PDF bills to e-invoices sent through Electronic Data Interchange, an automated solution processes all the invoices coming from different sources with accuracy and speed. This approach streamlines the accounts payable process, allowing enterprises to benefit from low-cost efficiency and maximize productivity. Streamline Invoice Processing with LIKE.TG ReportMiner Discover how LIKE.TG ReportMiner revolutionizes the underwriting process by leveraging AI technologies to extract relevant data from complex reports. See it in Action – View Demo Now! LIKE.TG ReportMiner: Advanced Data Extraction Solution to Automate Invoice Processing LIKE.TG ReportMiner is an end-to-end invoice extraction solution that can transform a large volume of unstructured data into meaningful insights. Using our automated, code-free platform, you can automatically build extraction templates to extract data from invoices. Our solution’s new AI-driven data extraction capabilities have made things easier than ever. Here’s how you can automate invoice processing in three steps: In order to utilize the LIKE.TG North Star feature, you will need to create a new project from Project > New > Integration project or open an existing project in LIKE.TG ReportMiner. Next, right-click on the source files folder in the project explorer and select AI-Powered Data Extraction > Auto Create Report Models using LIKE.TG North Star. Now that the report models have been created, they are ready to be used for data extraction. It’s that simple! Leveraging LIKE.TG ReportMiner’s Auto Capture technology, you can extract data from PDF invoices in a matter of seconds. Moreover, the job scheduling feature will facilitate accounts payable automation. Whenever a new invoice comes from the vendor, the solution automatically extracts data and sends it to your preferred destination. ALSO READ: This Government Department Cuts Down Invoice Data Extraction Time from Hours to Less than a Minute Automate Invoice Processing With AI Automated invoice processing helps accounting and finance departments increase efficiency and data processing time. It reduces manual intervention, minimizes errors, and eliminates unnecessary routing, significantly decreasing invoice processing time. Automate Your Invoice Processing with LIKE.TG’s ReportMiner Our solution reduces manual intervention, minimizes errors, and accelerates data processing. Request a free trial to explore how AI Capture can transform your finance department. Sign Up for a Free 14-day Trial Account payables automation through modern invoice processing software allows employees to shift their focus to more value-added activities. Moreover, efficient vendor invoice management helps companies maintain a good relationship with their suppliers, leading to better business outcomes.
Improving Healthcare: Optimizing Diagnostic Insights through Automation 
Improving Healthcare: Optimizing Diagnostic Insights through Automation 
Automated medical record data extraction tools are revolutionizing healthcare businesses by efficiently extracting and utilizing diagnostic data Diagnostic data serves as the cornerstone for accurate diagnoses, treatment planning, and monitoring of patient progress. It encompasses a wide array of information, including lab results, imaging reports, pathology findings, and clinical observations. This data holds tremendous potential to enhance clinical decision-making, promote personalized medicine, and facilitate research and development efforts. To harness the trapped diagnostic data effectively, clinics must implement automated data extraction processes. Fortunately, modern diagnostic data extraction tools are available to extract diagnostic information that would be otherwise inaccessible. Maximizing the Potential of Diagnostic Data Effective document processing is essential for unlocking the full potential of diagnostic data in healthcare. Unlike manual extraction processes that are time-consuming and prone to errors, automated and streamlining document processing techniques empower healthcare organizations to harness diagnostic data’s value while improving operational efficiency. Empowering Possibilities: Data Extraction Automation and Enhanced Outcomes Data extraction automation technology offers a transformative solution for healthcare businesses seeking to streamline their diagnostic data utilization processes. By employing intelligent algorithms and machine learning techniques, these tools can efficiently scan, interpret, and extract relevant information from medical records with unparalleled accuracy and speed. Numerous AI techniques can be employed to extract data from semi-structured and unstructured documents. These include deep learning, optical character recognition, natural language processing, and more. However, the most accurate approach, renowned for its efficacy, is the AI-powered template-based technique. This method leverages natural language processing to identify key-value pairs within documents and autonomously extracts data with the highest accuracy. Improved Efficiency: Automated medical record data extraction minimizes the need for laborious manual tasks, liberating healthcare professionals from administrative burdens and enabling them to focus on providing quality care. The time saved can be redirected toward patient engagement, research, or other value-added activities. Enhanced Accuracy: Human errors and inconsistencies can have significant implications for patient safety and outcomes. Data extraction automation reduces the risk of data entry mistakes, ensuring precise and reliable information is available for analysis, treatment planning, and research purposes. Data Standardization: Automated extraction tools facilitate the standardization of diagnostic data by enforcing consistent formatting and categorization. This standardization simplifies data aggregation, enables interoperability, and paves the way for comprehensive data analytics and reporting. Scalability and Speed: With the exponential growth of healthcare data, manual extraction processes become increasingly unfeasible. Automated tools can swiftly handle large volumes of medical records, ensuring that diagnostic data is promptly available for analysis, clinical trials, and population health management initiatives. Advanced Analytics: The extracted diagnostic data can be seamlessly integrated into advanced analytical platforms, leveraging artificial intelligence and predictive modeling techniques. These insights can drive proactive interventions, identify patterns, and optimize treatment pathways, improving patient outcomes and operational efficiencies. Facilitating the Data Integration Process Automated data extraction tools play a pivotal role in seamlessly integrating with existing Electronic Health Records (EHRs) systems. Integration between these two components is crucial for efficient data retrieval and management. By working in harmony with EHR systems, automated extraction tools can extract diagnostic data from various sources within the patient’s medical records, including structured fields, clinical notes, and scanned documents. Integration begins by establishing secure connections and APIs between the data extraction tool and the EHR system. This allows for direct access to patient records, ensuring real-time retrieval and extraction of diagnostic data. The extraction tool employs intelligent algorithms to navigate the EHR’s structured and unstructured data, extracting relevant information such as lab results, imaging reports, and clinical observations. By integrating with EHRs, healthcare businesses can leverage the benefits of automated data extraction without disrupting established workflows. When considering the implementation of automated data extraction tools, healthcare businesses should evaluate the integration and end-to-end data management capabilities to ensure seamless data management across systems. A Final Word Harnessing the power of diagnostic data is critical for healthcare businesses to improve patient care, enhance research capabilities, and drive operational excellence. By embracing automated medical record data extraction tools, organizations can unlock the true potential of this valuable information. Many healthcare organizations trust LIKE.TG ReportMiner, our enterprise-grade, no-code data extraction tool, to unearth valuable insights from semi-structured and unstructured documents, including diagnostic data. Our AI-powered solution simplifies and streamlines end-to-end document processing, including extraction, integration, validation, and loading.
Unleashing Cash Flow Potential through Invoice Data Extraction 
Unleashing Cash Flow Potential through Invoice Data Extraction 
Within the dynamic landscape of financial services, businesses are constantly seeking new ways to improve cash flow and stay ahead of the competition. One area that holds significant potential is automated invoice data extraction. By leveraging cutting-edge technology, financial service providers can streamline their invoicing processes, reduce errors and delays, and ultimately optimize their cash flow potential. What is Cash Flow Management and Why is It Important? Cash flow refers to the consistent inflow and outflow of money within a financial service business, which is of utmost importance for its survival. Numerous profitable financial service businesses risk closure because they don’t have sufficient cash to meet their financial obligations when they become due. Positive cash flow fuels growth, help organizations meet obligations, and empowers strategic maneuvering. When it comes to optimizing cash flow, automating extraction of invoice data is indispensable to receiving accurate and timely financial data. How Efficient Invoice Processing Bolster Cash Flow Automating and streamlining the invoicing process allows financial service businesses to monitor and track outstanding payments more effectively. By promptly following up on overdue invoices, accounts payable (AP) departments can take the necessary steps to arrange for funds. This may involve contacting clients to inquire about their payment status, negotiating better payment terms, or availing early payment discounts. By staying on top of outstanding payments, financial service businesses can better manage their cash flow and make informed decisions regarding their financial commitments and expenditures. Timely invoice processing also enhances transparency and communication between the business and its clients, reducing the likelihood of payment delays or disputes. Ultimately, by prioritizing effective invoice processing, businesses can cultivate a stronger financial foundation and ensure a steady cash flow to support their operations and growth. How Much of a Difference Can an Invoice Data Extraction Tool Make? An invoice data extraction tool substantially reduces invoice processing time, paving the way for cost savings and enhanced vendor partnerships. On average, automated data extraction empowers the finance team to process invoices roughly 10 times faster. In other words, if a finance department was processing just 50 invoices per employee each week, data extraction automation can make that number jump to 500 invoices. And we’re just talking averages here. One of our clients, a consumer finance company, successfully reduced invoice processing time from 25.5 days to a mere 24 hours. That’s more than 24 times faster! Another client, a mortgage lender, successfully downscaled their document processing department from 25 employees to 15 employees in the first year and further to just three employees in the second year. Meanwhile, they achieved a remarkable eightfold improvement in invoice processing efficiency. This efficiency not only provides cost benefits but also streamlines the invoice approval and payment process, guaranteeing timely payments to vendors or suppliers. Consequently, businesses avoid late payment fees, cultivate positive vendor relationships, and position themselves for improved negotiation opportunities. The Potential Cost Savings Suppose a financial service company receives 4,000 invoices from 30 different vendors every month, each with a different structure and layout. Oftentimes, even invoices from a single supplier vary in format. Processing these invoices manually can be a time-consuming, error-prone, and labor-intensive activity, but with automation, not so much! In fact, it’s the other way around. Automating data extraction can significantly accelerate invoice processing, eliminate human errors, and streamline payment processing. Not to mention the cost savings that financial service companies can derive using automated data extraction. For example, an average employee can process five invoices in an hour, which translates to 40 in a day or 800 monthly. This means the financial service company must dedicate five full-time employees to process invoices. Given the average salary for an invoice processor in the US is $39,523 per year, the company would save $197,615 annually by automating this process. Final Word Automated invoice processing can greatly improve the cash flow of a financial service company. By implementing automation, invoice data becomes more precise, comprehensive, and easily accessible, which ultimately optimizes the cash flow of your business. Additionally, the enhanced visibility and usability of data simplifies the auditing process. LIKE.TG ReportMiner—The Ultimate Automated Data Extraction Tool LIKE.TG ReportMiner is our state-of-the-art data extraction automation solution, now powered by the advanced NLP algorithm, LIKE.TG North Star. Our tool revolutionizes invoice processing, enabling the rapid extraction of data from diverse invoices within minutes with minimal manual intervention. Imagine being able to process 100 different invoices in minutes. With ReportMiner, this level of efficiency is routine. Moreover, our code-free solution goes beyond automating data extraction; it also comes with an automated data verification feature. You can define custom data quality rules to guarantee the utmost accuracy of the data extracted from invoices. Additionally, ReportMiner enables the seamless integration of invoice data into automated data pipelines to enable end-to-end automation. Our tool is compatible with AP automation solutions, facilitating efficient payment processing as well as seamless reporting and analytics. Do you want to learn more about how to automate invoice processing with LIKE.TG ReportMiner and ensure your cash flow statements stay green? Check out this free eBook: Free Ebook - Leverage Untapped Unstructured Data For Maximum Effectiveness Download Now
Optimizing Lawyer Performance: The Power of Automated Legal Document Data Extraction Tools 
Optimizing Lawyer Performance: The Power of Automated Legal Document Data Extraction Tools 
In the modern legal system, law firms manage vast volumes of paperwork daily. Given how legal professionals spend hours on extracting useful information from countless legal documents every day, law firms are constantly seeking innovative solutions to streamline their data management processes and improve efficiency. One such solution gaining traction is automated legal document data extraction – a groundbreaking technology with the potential to reshape how lawyers consume data. Here, by harnessing the power of automation for information extraction from legal documents, law firms can optimize their efficiency, empower their lawyers, and ultimately deliver enhanced legal performance. Automated Data Extraction for the Legal Fraternity Automated data extraction refers to the process of utilizing advanced artificial intelligence (AI) algorithms and machine learning (ML) techniques to automatically identify and extract valuable information from various sources. By leveraging intelligent algorithms, automated data extraction tools swiftly analyze documents and extract specific data on their own. This eliminates the need for manually extracting and loading data from each document. Given the inefficiencies and inconsistencies associated with manually processing hundreds of critical legal documents, automated legal document data extraction is a promising solution. By automating this otherwise labor-intensive task of information extraction, law firms can achieve remarkable improvements in efficiency, accuracy, and overall lawyer performance. Streamlining Document Management for Lawyers Manual data extraction from legal documents is not only time-consuming but also prone to human errors. On the other hand, automated data extraction tools provide a solution by swiftly and accurately extracting relevant information, freeing lawyers from the burden of manual data entry. Here are a few ways in which these tools can optimize document management for lawyers: Swift Extraction of Relevant Information: Given how automated data extraction tools use AI and ML to quickly extract required data in real-time, lawyers no longer need to spend hours manually sifting through documents to locate and record crucial information. Reduction of Manual Data Processing: By automating the extraction process, lawyers can also minimize the need for manual data processing, which is otherwise inefficient and prone to errors. Extracted data is directly transferred to the firm’s database or case management system, eliminating the need for tedious manual input. Enhanced Organization and Indexing: Automated data extraction tools can automatically organize and index extracted data, making it easier to search, retrieve, profile, and reference specific information when needed. This feature saves lawyers valuable time that would otherwise be spent on manual organization and ensures quick access to relevant data during case preparation or legal research. Extraction from Multiple Document Types: AI-driven data extraction tool handle various types of disparate sources with different formats e.g., Pdfs, images, text files, XMLs, JSON, etc. Similarly, they can extract information from diverse legal documents including contracts, court filings, discovery materials, and legal research papers. Seamless Integration with Existing Systems: Automated data extraction tools can seamlessly integrate with existing document management systems, case management software, or other legal technology platforms. This integration allows for a smooth workflow, with extracted data seamlessly flowing into the firm’s existing infrastructure without disruption. Enhanced Data Security and Confidentiality for Document Management: Confidentiality and security of legal documents is of utmost importance in the legal sphere. Automated document data extraction tools can ensure data security and confidentiality by adhering to strict privacy standards and implementing robust encryption measures. By minimizing the need for manual handling sensitive information, these tools reduce the risk of data breaches and unauthorized access. Additionally, quality tools come equipped with safety features such as access controls, encryptions, audit trails, etc. Enhanced Accuracy and Consistency In legal affairs and proceedings, precision and consistency carry immense significance The risk of human errors in manual data extraction can have severe consequences, including misinterpretation of clauses, inaccurate representation of facts, and compromised legal arguments. Automated data extraction tools significantly reduce the margin of error—given their lack of reliance on manual data entry—ensuring accurate and consistent extraction of data from legal documents. Additionally, powerful document data extraction tools also provide in-built quality and validation checks. With such measures in place, the extracted data can automatically be cleansed of errors. Subsequently, by accessing accurate and reliable data, lawyers can be confident about the veracity of their information, leading to better-informed decisions, stronger legal arguments, and improved overall legal outcomes. Accelerating Legal Research and Analysis Legal research is a time-consuming task that involves poring over vast volumes of legal texts, searching for relevant precedents, statutes, and case law. Automated data extraction tools expedite the research process by swiftly identifying and extracting any required information from legal documents. This allows lawyers to access critical legal insights faster, analyze and synthesize information more efficiently, and ultimately develop stronger legal strategies. By accelerating legal research and analysis, automated data extraction tools empower lawyers to provide well-founded advice, make informed decisions, and deliver superior outcomes for their clients. The Final Verdict The utilization of automated data extraction tools in the legal domain marks a paradigm-shift in how legal professionals manage and leverage information. By leveraging this technology, law firms can streamline document management, enhance accuracy and consistency, and accelerate legal research. Lawyers can shift their focus to higher-value tasks, such as legal analysis, strategy development, and client communication, ultimately delivering superior legal services. As the legal industry embraces the power of automated data extraction, law firms that adopt this technology will gain a competitive edge, positioning themselves as leaders in efficiency, accuracy, and client satisfaction. In case you want to see a powerful automated data extraction tool in action, check out the LIKE.TG ReportMiner. It is a cutting-edge document data extraction tool with AI capabilities that empowers law firms to extract useful information from even unstructured legal sources at scale. Sign up for a free 14-day trial today and gear up to deploy a reliable data extraction tool now.
Unleashing Cash Flow Potential through Invoice Data Extraction 
Unleashing Cash Flow Potential through Invoice Data Extraction 
Unlocking the power of financial data automation drives operational efficiency, enables data-driven decision-making, and accelerates business growth Within the dynamic landscape of financial services, businesses are constantly seeking new ways to improve cash flow and stay ahead of the competition. One area that holds significant potential is automated invoice data extraction. By leveraging cutting-edge technology, financial service providers can streamline their invoicing processes, reduce errors and delays, and ultimately optimize their cash flow potential. What is Cash Flow Management and Why is It Important? Cash flow refers to the consistent inflow and outflow of money within a financial service business, which is of utmost importance for its survival. Numerous profitable financial service businesses risk closure because they don’t have sufficient cash to meet their financial obligations when they become due. Positive cash flow fuels growth, help organizations meet obligations, and empowers strategic maneuvering. When it comes to optimizing cash flow, automating extraction of invoice data is indispensable to receiving accurate and timely financial data. How Efficient Invoice Processing Bolster Cash Flow Automating and streamlining the invoicing process allows financial service businesses to monitor and track outstanding payments more effectively. By promptly following up on overdue invoices, accounts payable (AP) departments can take the necessary steps to arrange for funds. This may involve contacting clients to inquire about their payment status, negotiating better payment terms, or availing early payment discounts. By staying on top of outstanding payments, financial service businesses can better manage their cash flow and make informed decisions regarding their financial commitments and expenditures. Timely invoice processing also enhances transparency and communication between the business and its clients, reducing the likelihood of payment delays or disputes. Ultimately, by prioritizing effective invoice processing, businesses can cultivate a stronger financial foundation and ensure a steady cash flow to support their operations and growth. How Much of a Difference Can an Invoice Data Extraction Tool Make? An invoice data extraction tool substantially reduces invoice processing time, paving the way for cost savings and enhanced vendor partnerships. On average, automated data extraction empowers the finance team to process invoices roughly 10 times faster. In other words, if a finance department was processing just 50 invoices per employee each week, data extraction automation can make that number jump to 500 invoices. And we’re just talking averages here. One of our clients, a consumer finance company, successfully reduced invoice processing time from 25.5 days to a mere 24 hours. That’s more than 24 times faster! Another client, a mortgage lender, successfully downscaled their document processing department from 25 employees to 15 employees in the first year and further to just three employees in the second year. Meanwhile, they achieved a remarkable eightfold improvement in invoice processing efficiency. This efficiency not only provides cost benefits but also streamlines the invoice approval and payment process, guaranteeing timely payments to vendors or suppliers. Consequently, businesses avoid late payment fees, cultivate positive vendor relationships, and position themselves for improved negotiation opportunities. The Potential Cost Savings Suppose a financial service company receives 4,000 invoices from 30 different vendors every month, each with a different structure and layout. Oftentimes, even invoices from a single supplier vary in format. Processing these invoices manually can be a time-consuming, error-prone, and labor-intensive activity, but with automation, not so much! In fact, it’s the other way around. Automating data extraction can significantly accelerate invoice processing, eliminate human errors, and streamline payment processing. Not to mention the cost savings that financial service companies can derive using automated data extraction. For example, an average employee can process five invoices in an hour, which translates to 40 in a day or 800 monthly. This means the financial service company must dedicate five full-time employees to process invoices. Given the average salary for an invoice processor in the US is $39,523 per year, the company would save $197,615 annually by automating this process. Final Word Automated invoice processing can greatly improve the cash flow of a financial service company. By implementing automation, invoice data becomes more precise, comprehensive, and easily accessible, which ultimately optimizes the cash flow of your business. Additionally, the enhanced visibility and usability of data simplifies the auditing process. LIKE.TG ReportMiner—The Ultimate Automated Data Extraction Tool LIKE.TG ReportMiner is our state-of-the-art data extraction automation solution, now powered by the advanced NLP algorithm, LIKE.TG North Star. Our tool revolutionizes invoice processing, enabling the rapid extraction of data from diverse invoices within minutes with minimal manual intervention. Imagine being able to process 100 different invoices in minutes. With ReportMiner, this level of efficiency is routine. Moreover, our code-free solution goes beyond automating data extraction; it also comes with an automated data verification feature. You can define custom data quality rules to guarantee the utmost accuracy of the data extracted from invoices. Additionally, ReportMiner enables the seamless integration of invoice data into automated data pipelines to enable end-to-end automation. Our tool is compatible with AP automation solutions, facilitating efficient payment processing as well as seamless reporting and analytics. Automate Data Extraction With LIKE.TG ReportMiner View Demo
EDI Tools: A Comprehensive Guide
EDI Tools: A Comprehensive Guide
What are EDI Tools? Today, seamless integration and efficient data exchange drive business success across industries.Electronic Data Interchange (EDI) is one of the fastest and most reliable channels businesses use for B2B communication. These businesses rely on various EDI tools and solutions to simplify their data exchange processes. EDI tools are powerful software applications designed to automate and facilitate the exchange of structured business documents between systems, organizations, or trading partners. These documents frequently include purchase orders (PO), invoices, shipping documents, healthcare claims, etc. EDI Tools: Streamlining B2B Data Exchange These tools streamline the entire data exchange process by ensuring compatibility and consistency in data formats. Modern EDI solutions are efficient, accurate and offer secure integration, eliminating manual processes and, at the same time, enabling you to remain EDI compliant. Types of EDI Tools EDI tools come in various forms, each specifically designed to address different aspects of electronic data interchange and cater to unique business requirements. These tools streamline data exchange and improve integration efficiency and collaboration with trading partners. Here are the most common types of EDI tools you can find: EDI Translation Software: EDI translators offer a user-friendly interface to transform and map data. They allow you to convert data from your internal systems into standardized EDI formats that your trading partners support. Communication Gateways: These are communication-focused tools that establish secure connections using protocols like FTP, AS2, or SFTP. Communication gateways also handle the encryption and decryption of data, provide authentication mechanisms, and enable error detection and recovery. Trading Partner Management Tools: These tools simplify managing trading partner relationships. They provide a centralized platform where you can onboard new trading partners, configure their specific EDI requirements, and establish communication channels. You can also leverage features like partner profile management to store and maintain information about each trading partner. While each of these tools can do their jobs sufficiently well, they cannot handle the EDI process from end to end. For this reason, businesses look toward full-fledged EDI tools or platforms with comprehensive features. The Need for a Unified EDI Tool Now, let’s discuss why a unified EDI tool is essential for your integration efforts. A unified EDI tool consolidates different functionalities into a single comprehensive solution. It’s your secret weapon to achieving operational excellence. CCHP Hits 99% Data Submission and Approval Rates With LIKE.TG EDIConnect Download Case Study Here are some more reasons why you should opt for a comprehensive EDI solution: Simplified Integration First off, a unified EDI tool simplifies your integration efforts. You no longer have to use multiple standalone tools to use various aspects of EDI. Instead, everything you need is consolidated into one comprehensive solution. It’s like having all your integration superpowers in a single tool, saving you time, effort, and resources. You should also think about the complexity that arises when you’re managing multiple tools. Each one has its own configuration, interface, and learning curve. But with a unified EDI tool, you can bid farewell to that chaos. You’ll have all the necessary features and capabilities neatly organized in one place, like a centralized control center for your integration operations. Holistic View One of the most significant advantages of a unified EDI tool is the holistic view it provides. Picture yourself overlooking your entire data exchange process from a single dashboard. You can monitor data flows, track transactions, and quickly identify hiccups or bottlenecks. This bird’s-eye view of your integration landscape empowers you to take prompt actions and optimize your processes for better efficiency. Seamless Coordination With all the components of your EDI operations seamlessly coordinated within a unified tool, you can achieve smoother data flows and improved synchronization with your trading partners. You no longer have to worry about data discrepancies or misinterpretations during document exchange. Faster Business Cycles The benefits of a unified EDI tool extend beyond streamlined processes. They directly impact your business cycles, from procurement and production to order fulfillment and customer service. By consolidating your EDI functionalities, you speed up document exchange and enhance communication with your trading partners. This means improved supply chain efficiency, faster order processing, and, ultimately, happier customers. Put concisely, a unified EDI tool is like having a trusted companion that simplifies your integration efforts. Factors to Look for in a Comprehensive EDI Solution When selecting an EDI tool for your business, it’s crucial to take a comprehensive approach and consider a range of factors to ensure you make the right choice. It’s not just about ticking off a checklist of features; it’s about finding the right solution that aligns with your business needs and objectives. In this pursuit, you should take the following factors into account: Automation Automated data exchange between your trading partners enables you to free up resources that you can allocate to more value-added tasks within your organization. It also streamlines the exchange of EDI documents. For example, the tool can automatically route purchase orders to the appropriate departments for review and approval, trigger order fulfillment processes, and generate acknowledgments or invoices. Additionally, by leveraging automation, you can also reduce labor costs associated with data entry, document handling, and error correction. Experience Effortless Data Exchange With Your Trading Partners Learn More Compliance and Standards Your trading partners may have their own preferred EDI standards and document formats. You may also be regularly onboarding new trading partners who use different EDI standards or document types. Therefore, compliance with industry-specific regulations and EDI standards should be the top priority for you and your trading partners. Ensure the solution adheres to all regulations and supports relevant EDI standards like EDIFACT, X12, or XML. For example, healthcare organizations must comply withHIPAA(Health Insurance Portability and Accountability Act) regulations, while retail businesses may need to adhere to GS1 standards. Scalability A scalable EDI tool ensures that you can expand your operations without facing limitations or disruptions. As your business grows, your integration requirements will change. For that, you need a solution that can quickly adapt to accommodate increased transaction volumes, additional trading partners, and evolving business processes without sacrificing performance or experiencing delays. Moreover, salability is a long-term consideration when choosing an EDI tool. It ensures that the selected tool can scale as needed without frequent system upgrades or replacements. Data Mapping and Transformation When it comes to data mapping and transformation, always look for a solution that offers a user-friendly interface and support for various data formats and standards. The interface should be intuitive and easy to navigate, allowing users to configure mapping rules without requiring extensive technical knowledge or coding skills. This flexibility enables your teams to integrate systems seamlessly. The EDI tool should also provide robust support for data transformations. Ensure that it offers a comprehensive set of transformation functions, such as date formatting, conditional logic, and data enrichment through lookups or database operations. Communication Protocols Your EDI tool should support a wide range of secure communication protocols so that you can accommodate all your trading partners. These protocols are essential for establishing reliable connections with them and ensuring the secure exchange of business documents. Some of these protocols include: AS2 (Applicability Statement 2) and AS4 FTP (File Transfer Protocol) and SFTP HTTP and HTTPS Error Handling and Validation EDI tools utilize validation rules to verify the correctness of data in EDI transactions. These rules can include checks for data type, length, format, mandatory/optional fields, and adherence to specific business rules or industry standards. The tool compares the data in the transaction against these rules to identify any violations or errors. Specific error handling and validation functionalities can vary across different EDI tools greatly. The level of customization also varies based on the tool’s features. Ensure that the EDI tool you choose has robust error handling and validation mechanisms in place. These mechanisms should be able to identify various types of errors and, subsequently, notify you to take necessary actions promptly. LIKE.TG EDIConnect: A Comprehensive EDI Solution for Modern Businesses Modern organizations conduct business at a rapid pace, driven by advancements in technology and the demand for instant, reliable connectivity. LIKE.TG EDIConnect offers a complete EDI solution fueled by automation. It streamlines the entire B2B data exchange process with its powerful integration engine and intuitive UI. Enable Frictionless B2B Data Exchange With LIKE.TG EDIConnect View Demo Here are more reasons to consider EDIConnect: Intuitive User Interface: Our EDI tool offers an intuitive and user-friendly interface that allows for drag-and-drop visual mapping. This makes handling complex hierarchical structures like EDI and XML seamless and straightforward. Automation and Process Orchestration: Easily define process orchestration for both incoming and outgoing EDI files. With this functionality, you can automate tasks such as file download/upload, generating acknowledgements, invoking data maps, and sending emails. Translation Capability: Leverage the built-in high-performance EDI translator to efficiently process data volumes of any size, ensuring optimal performance and scalability. Validation Functionality: The integrated validator seamlessly performs standard and custom validations, ensuring data integrity and compliance with EDI standards. Simplified Transaction Building: EDIConnect’s transaction builder simplifies the process of building complex hierarchical EDI transactions, even for business users. Repository Manager: It includes a built-in repository manager, providing a comprehensive library of pre-defined templates for various business transactions. Efficient Partner Management: The partner manager component allows you to define and manage EDI partner information. Now that you’re equipped with a deeper understanding of EDI tools and their importance for seamless integration, it’s time to see how LIKE.TG EDIConnect simplifies document exchange. Sign up for a free demo or call +1 888-77-LIKE.TG and we’ll have one of our solution experts on the line to assist you with your use case.
How One Law Firm Saves 75% Time with Automated Legal Document Data Extraction 
How One Law Firm Saves 75% Time with Automated Legal Document Data Extraction 
Revolutionize Your Law Firm’s Workflow in the Digital Age of Legal Document Management In the information age, legal firms find themselves navigating through an ocean of documents. The demand for meticulous attention to detail in these legal documents is paramount, and efficient data extraction plays a pivotal role in effective document management. Fortunately, a new era is dawning with the emergence of automated tools, poised to revolution ize the way legal firms handle data extraction and document management. The Document Management Dilemma: Navigating Legal Industry’s Data Deluge In the realm of the legal industry, documents are the lifeblood that keeps the system alive. From contracts to affidavits, and court filings to legal briefs, these documents form the foundation of all legal proceedings and transactions. Power of Efficient Extraction in Legal Documents In the legal industry, data is the key to making informed decisions and driving successful outcomes. For legal firms, extracting critical information from these documents in a timely and accurate manner is not just a necessity; it’s pivotal to their operations. The extracted data forms the basis for case analysis and strategic planning and forms the legal argumentation. Hence, efficient data extraction is not an option but a requisite for the firm to maintain its competitiveness and deliver high-quality legal services to its clients. The Business Case: A US-based Law Firm Saves 75% Time Central Role of Legal Documents Johnson Associates is a high-powered legal firm that handles a vast array of legal cases from corporate law and intellectual property rights to civil litigation and employment law. The nature of their operations involves a huge volume of legal documents to be processed daily including contracts, legal briefs, court filings, and other legal and transactional documents. Road to Streamlining Processes Manual data extraction posed several challenges to the operations of Johnson Associates. One of the significant problems was the labor-intensive nature of the task. Each document needed to be meticulously read and interpreted, requiring a great deal of effort and concentration. This was especially challenging given the volume of documents the firm processed daily, which was approximately 200 on average. Secondly, the complexity and variety of legal documents added another layer of challenge. The diverse nature of the firm’s work meant that they were handling various types of documents, each with its unique structure and content. This made it more complicated and time-consuming to extract the necessary data. Additionally, the firm also faced challenges with data accuracy. Manual data extraction, by its nature, is prone to human error. Misinterpretations, missed data points, and simple typing errors were not uncommon and caused significant implications. The LIKE.TG Solution Recognizing the challenges posed by manual data extraction, Johnson Associates made the strategic decision to implement LIKE.TG ReportMiner as their automated data extraction solution. The firm saw the potential for significant time savings, improved efficiency, and enhanced accuracy by leveraging this cutting-edge technology. Revolutionizing Extraction and Integration Johnson Associates successfully integrated LIKE.TG ReportMiner into their existing workflow. The firm’s IT team collaborated with LIKE.TG’s experts to customize extraction templates and define rules specific to their requirements, ensuring a smooth transition. From the get-go, Johnson Associates were empowered with the following capabilities of LIKE.TG ReportMiner: Legal Document Data Extraction from: Powered by AI to extract essential data from contracts, court filings, and legal briefs, reducing time spent by employees and improving data accuracy. Data Integration: Collates data from diverse sources like PDF files, Excel spreadsheets, and scanned images, normalizing it for streamlined analysis and decision-making. Workflow Automation: Automates extraction tasks on a schedule, minimizing manual oversight and ensuring up-to-date data availability. LIKE.TG ReportMiner empowers the firm to focus on its legal expertise while benefiting from reliable and automated data management. Johnson Associates’ Triumph The implementation of LIKE.TG ReportMiner yielded remarkable results for Johnson Associates. By replacing manual data extraction with automated processes, the information that their team of 12 people took 32 work hours to extract, they were now able to achieve with a single employee 8-hour shift. The firm experienced a remarkable time saving of 75%, alongside alleviating the need for new hiring. This improved efficiency allowed the legal firm to reduce costs significantly by allocating these resources to core responsibilities such as case analysis, strategy formulation, and client consultations Conclusion Revolutionize Your Law Firm’s Workflow, particularly Legal Document Management, can save significant time by streamlining document organization, retrieval, and collaboration processes, improving efficiency and reducing manual errors. LIKE.TG ReportMiner offers a reliable solution to automate data extraction from complex legal documents, such as contracts and court filings, enabling swift analysis and report generation. This powerful tool enhances accuracy, accelerates decision-making, and ultimately saves time in the legal document management workflow. Automate Document Data Extraction with LIKE.TG ReportMiner Download Trial
Revolutionizing Patient Data Management: How a US-based Insurance Company Saved more than $100,000 in Annual Costs 
Revolutionizing Patient Data Management: How a US-based Insurance Company Saved more than $100,000 in Annual Costs 
In the dynamic world of insurtech, where innovation is the key to success, insurance companies constantly seek ways to optimize their operations and unlock new opportunities. Among them, a US-based company, a renowned player in the industry, recognized the immense potential of automating their patient data management system. By embracing the power of an AI-driven tool, the company embarked on a journey of transformation, unlocking a wealth of benefits along the way. Let’s explore how the insurance company in question seized the opportunity to save costs, boost operational efficiency, and gain a competitive edge, ultimately propelling them to the forefront of the ever-evolving insurance landscape. Background of the Company Over the past two decades, this company has been at the forefront of the insurance industry, catering to the needs of over 10,000 clients through an array of comprehensive insurance services. Their operations span across risk assessment, policy underwriting, claims management, and customer service, ensuring a holistic solution to their clients’ insurance needs. They’ve built a strong reputation based on their ability to provide customized insurance solutions while maintaining a high level of customer satisfaction. However, as the insurance landscape continues to evolve, so does the necessity for the company to innovate and enhance its operational efficiency. The Challenge Navigating the insurance landscape, the company found itself grappling with several challenges. Insurance, as an industry, is largely data-driven with decision-making heavily reliant on accurate and timely data. Medical records, in particular, contain crucial information that directly impacts the assessment of claims and policy underwriting. With an average of 3,000 medical records to process each month, the sheer volume of data was proving to be overwhelming for the company. The intricacies of medical terminology and the need for precise extraction added another layer of complexity. In an industry where accuracy could significantly influence a claim’s outcome, even minor errors could lead to serious consequences. In terms of costs, the financial burden of manual data extraction was staggering. With each medical record taking about 30 minutes to transcribe, this translated to over 1,500 hours of labor each month. Assuming an average wage of $15 per hour for data entry personnel, the cost of manual data extraction amounted to $22,500 per month, or a whopping $270,000 annually. Additionally, the potential for human error introduced another cost factor. Even with a conservative error rate of 2%, this meant that 60 records each month required rework. With each error costing the company an additional $30 on average, this added up to $21,600 annually. Furthermore, in an industry as competitive as insurance, the inability to promptly process claims due to slow data extraction could lead to customer dissatisfaction and a potential loss of business. This indirect cost, although harder to quantify, further underscored the urgent need for a more efficient data extraction solution. It was clear that for the said Insurance company to stay competitive and cost-effective, a solution to automate the medical record data extraction process was essential. The chosen solution would need to address these industry-specific challenges and reduce the significant financial burden associated with manual data extraction. Solution: Moving towards AI-driven Automation Amidst data extraction challenges, LIKE.TG ReportMiner emerged as a transformational solution for the company, enhancing their patient data management system. This advanced software streamlined processes that once took hours into less than a minute, promising to transform the laborious task of processing 3,000 records per month. For example, insurance claims often come with a myriad of supporting documents – doctors’ notes, lab results, medical invoices, and more. Each of these documents has its own format and key data points. ReportMiner’s AI Capture allowed the company to create report models with a single click. This enabled the extraction of essential data from varied documents swiftly, saving up to 80% of time and effort previously spent on manual layout creation. Moreover, the company leveraged the tool to automatically identify and extract critical data points, such as patient names, procedure codes, and billed amounts from medical invoices. They were able to automate the extraction of critical data from medical invoices, automate the creation of tables for data analysis, and streamline their entire data pipeline. This not only improved the efficiency of their operations but also led to more accurate data, which in turn improved their decision-making capabilities. Implementation Shifting from manual data extraction to an automated process was a significant step for the company. The first step involved training a dedicated team on ReportMiner’s functionalities, including the use of AI Capture and the creation of extraction templates. During the month-long transition process, manual and automated processes ran simultaneously to ensure service continuity. Despite initial challenges, the implementation was successful, and the company gradually reduced their dependence on the manual process by around 80%. The implementation of ReportMiner and AI Capture led to a significant reduction in time and resources dedicated to data extraction. The software’s capability to process multiple files simultaneously meant that the task of processing 3,000 records per month became markedly more efficient, leading to quicker turnaround times and substantial cost savings. The Impact of LIKE.TG ReportMiner After implementation, the time taken to process each medical record dropped dramatically from 30 minutes to less than a minute, marking a 96% decrease in processing time and a reduction of $90,000 in annual costs. Initially, with the manual process, the company faced a 2% error rate, which cost them $21,600 annually. After ReportMiner’s implementation, the error rate fell to less than 0.5%, dramatically minimizing the need for rework and further conserving time and resources. This reduced the company’s yearly costs by $16,200. The savings weren’t only monetary but also extended to the valuable time of their employees, who could now focus on other critical tasks. Conclusion LIKE.TG ReportMiner, enhanced with its AI Capture feature, proved to be a game-changer for the aforementioned firm. The drastic reduction in processing time, coupled with a significant drop in error rates, meant that the company could maintain its commitment to delivering excellent customer service while also driving down operational costs. The implementation of ReportMiner not only helped streamline the data extraction process but also signified the organization’s successful stride into the future of automated data extraction. Transform Your Data Extraction Process Ready to revolutionize your data extraction process and unlock new efficiencies in your operations? It’s time to consider LIKE.TG ReportMiner. Embrace the future of data extraction with LIKE.TG ReportMiner and experience the power of AI-driven automation. Contact us today to learn more about how LIKE.TG ReportMiner can revolutionize your data extraction process.
What are EDI Transactions? Benefits & Techniques
What are EDI Transactions? Benefits & Techniques
Electronic data interchange (EDI) transactions play an instrumental part in enabling businesses to exchange business documents electronically. The projected CAGR of 12% between 2023 to 2028 underscores its crucial role in allowing seamless data exchange between trading partners in the coming years. Let’s delve deeper into EDI transactions to learn about its components, types, and benefits. What are EDI Transactions? EDI transactions refer to the exchange of business data in a standardized electronic format. These transactions allow businesses to send and receive various types of business documents, such as purchase orders, invoices, shipping notices, and more—seamlessly and efficiently. These electronic transactions are a great alternative to traditional paper-based communication methods, facilitating faster data exchange between trading partners. In today’s interconnected business landscape, businesses across various industries, ranging from retail and manufacturing to logistics and finance, heavily rely on EDI systems for business-to-business (B2B) communication. These transactions conform to specific standards, which improves data consistency and ensures transaction compatibility across different systems. The three key structural components of EDI transactions include: Segments: Segments are the building blocks of an EDI transaction that represent individual units of information. Each segment is delimited by specific characters and contains data elements that convey essential information in an EDI file. Data Elements: Data elements are the smallest units of information within a segment that carry specific pieces of data, such as names, numbers, dates, or codes. These elements are identified by their positions and meanings as per the EDI standard. Envelopes: Envelopes provide the structural framework for an EDI transaction. They serve as a container that marks the initiation and conclusion of the transaction and include details such as sender and receiver identifiers, control numbers, and timestamps. Enable Frictionless B2B Data Exchange With LIKE.TG EDIConnect View Demo Benefits of EDI Transactions EDI exchange provides numerous benefits that can transform business operations, including: Improved Efficiency: Automated data exchange through EDI transactions allow businesses to process documents more efficiently. Implementing an EDI solution can potentially bring down the transaction processing time from days or weeks to mere seconds. Reduced Errors: The adoption of EDI transactions virtually eliminates errors. No manual data input is involved in the process; hence, the potential for inaccuracies is significantly diminished—preventing unnecessary delays and saving valuable time and resources. Cost Savings: EDI transactions’ greater efficiency, combined with areduction in errors, allow businesses to enjoy substantial cost savings. The automation minimizes resources required to process transactions and helps prevent costly chargebacks, penalties, and fines that can affect the bottom line. Enhanced Data Security: EDI transactions incorporate encryption and privacy protocols, which improve data security and compliance. These transactions comply with industry regulations, such as HIPAA and GDPR, ensuring that sensitive data remains safeguarded. Enhanced Partnerships: EDI transactions foster enhanced partnerships by streamlining communication between trading partners. The timely exchange of crucial information and faster document processing cultivate trust and collaboration and strengthen business relationships. EDI Transaction Types EDI transactions are used to handle a wide array of business requirements. The standardized formats and protocols for each transaction ensure reliable information exchange between trading partners. Some of the common types of EDI transactions include: Purchase Order (850): This transaction initiates a purchase request from a buyer to a supplier, specifying the items, quantities, and terms of the order. Purchase Order Acknowledgment (855): The supplier uses this transaction to acknowledge the receipt and acceptance of a purchase order, confirming the details and setting expectations for fulfillment. Payment Order/Remittance Advice (820): This transaction facilitates electronic payment and includes remittance information such as invoice numbers, amounts, and payment details. Invoice (810): An invoice transaction is used to request payment for goods or services rendered, and may include itemized costs, payment terms, and any applicable discounts or taxes. Order Status Inquiry (869): Businesses use this transaction to inquire about the status of a previously placed order, or when seeking updates on fulfillment, shipment, or any related changes. Functional Acknowledgment (997): This transaction confirms the receipt, validation, and acceptance of other EDI transactions exchanged between trading partners. Health Care Claim (837): This transaction empowers healthcare providers to submit insurance claims to payers, containing detailed information on services rendered, diagnosis codes, and billing details. Health Care Eligibility/Benefit Inquiry (270): By leveraging this transaction, healthcare professionals can inquire about a patient’s insurance eligibility and benefits, as well as access essential information related to coverage, co-pays, and deductibles. Motor Carrier Load Tender (204): When offering a shipment to a carrier, this transaction includes vital details such as pickup and delivery locations, weight of a shipment, and any special instructions. Rail Carrier Shipment Information (404): Providing comprehensive rail shipment information, this transaction covers identification, equipment specifics, route details, and estimated arrival times. Final Thoughts EDI transactions play and will continue to play a vital role in B2B data exchange in the foreseeable future. EDI ensures consistent formats and rules for transaction processing, streamlining how information is shared, i.e., with accuracy and speed. A reliable EDI solution is paramount to maintaining accurate and secure data sharing in business processes. LIKE.TG EDIConnect is an intuitive EDI management tool with advanced features that empower businesses to optimize data exchange. Featuring an intuitive, no-code interface, it comes with advanced EDI capabilities to seamlessly build and process EDI documents with trading partners. Do you want to take your first step toward optimizing your B2B transactions today? Schedule a personalized demo today! See How LIKE.TG EDIConnect Helps Exchange Data Faster with Your Trade Partners View Demo
EDI Trucking: Revolutionizing Dispatch and Delivery in Logistics
EDI Trucking: Revolutionizing Dispatch and Delivery in Logistics
Every minute counts when it comes to dispatching trucks, coordinating deliveries, and optimizing supply chain operations. As technology continues to advance, electronic data interchange (EDI) has emerged as a critical tool that facilitates seamless communication, improves tracking capabilities, and drives cost savings. According to Fortune Business Insights, the global EDI market size is projected to reach around USD 4.52 billion by 2030, with an impressive CAGR of 12.5%. This significant growth is a testament to the transformative power of EDI in revolutionizing dispatch and delivery processes in the logistics industry. What is EDI Trucking? EDI trucking is the electronic exchange of business data between logistics partners, enabling seamless communication and collaboration throughout the supply chain. With the use of standardized formats and protocols, EDI facilitates the exchange of information between shippers, carriers, and consignees, providing visibility into inventory, shipment status, and invoice processing. Common EDI Documents in Trucking Some of the essential EDI transactions for dispatch and delivery in the logistics industry are: Bill of Lading transaction (211): Used to prove that a shipment was picked up and delivered. It provides information such as the shipment type, weight, and dimensions. Load Tender (204): Sent by shippers to carriers to offer a shipment for transportation. Freight Invoice (210): Sent by carriers to shippers or 3PL providers to request payment for freight services rendered and provides detailed information about the freight charges, and other relevant information for billing purposes. Shipping Status (214): Sent by carriers to provide real-time updates on shipment status, including pick-up, in-transit, and delivery details. Delivery/Return Receipt (215): Acknowledges the successful delivery or return of goods and provides confirmation. Remittance Advice (820): Sent by shippers or 3PL providers to provide payment details and reconcile invoices. Request for Routing Instructions (753): Sent by carriers or 3PL providers to request routing instructions from shippers. Response to Routing Instructions (754): Shippers send routing instructions to carriers or 3PL providers. Benefits of Implementing EDI in Dispatch and Delivery Processes Implementing EDI software can revolutionize trucking companies’ dispatch and delivery processes. Some of the benefits of implementing EDI include: Improved Efficiency and Accuracy EDI reduces the reliance on manual data entry, which helps minimize errors that can occur during manual processes. By providing a structured and standardized format for data exchange, EDI enables automated processing and validation of information, leading to improved accuracy. The automation of dispatch and delivery processes saves time and reduces administrative costs. With EDI, trucking companies can streamline their operations and reduce the time it takes to process orders, dispatch drivers, and deliver goods. For example, imagine a trucking company that used to rely on manual processes to track inventory and shipments. Each time a new order came in, an employee had to enter the data into the company’s system manually. This process was time-consuming and prone to errors, which could lead to delays and customer dissatisfaction. With EDI, the trucking company can automate these processes, reducing the time it takes to process orders and improving accuracy. Reduced Operational Costs By reducing the reliance on paper-based documentation, EDI can significantly lower operational costs and increase efficiency. Carriers can avoid expenses such as printing, storing, and retrieving paper documents, reducing the need for manual labor. For instance, a trucking company that used to rely on paper-based documentation would have to print out bills of lading, invoices, and other documents for each shipment. These documents would then need to be stored and retrieved for future reference. With EDI, the company can eliminate this paperwork, reducing the need for manual labor and storage space. Streamlined Communication and Collaboration EDI facilitates communication between trading partners, ensuring that all parties work with the same information. It enables collaboration by helping companies to share information with suppliers and customers securely and accurately. With EDI, trucking companies can communicate with their trading partners reducing the time it takes to resolve issues and improving overall collaboration. Moreover, messages sent through EDI are encrypted, ensuring the confidentiality and integrity of the data. This secure information exchange builds trust and enables companies to confidently share critical data, such as pricing agreements, contracts, or confidential customer information. Compliance with Industry Standards and Regulations EDI Trucking ensures compliance with industry standards and regulations. By adopting standardized formats and protocols, logistics companies can meet regulatory requirements, exchange data seamlessly with trading partners, and maintain data integrity and security. This minimizes the risk of non-compliance and legal issues. For example, in the trucking industry, there are various regulations and standards that companies must adhere to, such as the Electronic Logging Device (ELD) mandate, Hours of Service (HOS) regulations, and safety requirements set by the Department of Transportation (DOT). By implementing EDI, trucking companies can automate the reporting and exchange of necessary data to demonstrate compliance with these regulations. Improved Dispatch and Delivery Processes EDI simplifies the dispatch process by automating load tendering, appointment scheduling, and confirmation processes. It enables electronic load acceptance and acknowledgment, eliminating the need for time-consuming phone calls and paperwork. Dispatchers can efficiently assign drivers, and optimize routes. For example, when a new load is ready for dispatch, the dispatcher can use EDI to send a Load Tender (204) to available drivers or carrier partners. The drivers receive the electronic notification, review the load details, and accept the assignment electronically, eliminating the need for phone calls or paperwork. EDI also enables the use of electronic proof of delivery, eliminating the need for paper-based documentation. Using mobile devices or onboard technology, drivers can capture delivery confirmation electronically, including signatures, timestamps, and other relevant information. For instance, when a driver successfully delivers a shipment, they can capture the proof of delivery electronically, including the recipient’s signature and delivery timestamp. This information is then transmitted through EDI to the relevant parties, providing immediate confirmation of delivery. The Future of EDI in the Trucking Industry As the trucking industry continues to evolve, the future of EDI looks promising. Some possible developments to watch for include: Integration with Emerging Technologies: EDI will see integration with emerging technologies like the Internet of Things (IoT) and blockchain. This integration will enable real-time data exchange, enhanced supply chain visibility, and improved security in the trucking industry. For example, IoT devices attached to trucks can provide real-time information on location, temperature, and other relevant parameters, which can be seamlessly integrated into EDI systems for efficient data exchange between trading partners. Blockchain technology can ensure secure and transparent transactions, reducing fraud and enhancing trust in the supply chain. Expanding EDI Capabilities: The future of EDI in the trucking industry will involve expanding its capabilities to enable more comprehensive and detailed information exchange between trading partners. This expansion may include the exchange of additional data such as truck maintenance records, driver qualifications, shipment status updates, and electronic proof of delivery. By facilitating the exchange of richer data, EDI will support more efficient logistics planning, optimized routing, and improved customer service. The Role of EDI in Sustainable Trucking Practices: EDI can contribute significantly to promoting sustainable trucking practices. By streamlining data exchange and automating processes, EDI reduces paper-based documentation, resulting in a significant reduction in waste. Moreover, EDI can help optimize trucking operations, leading to better route planning, reduced fuel consumption, and lower carbon emissions. For instance, by integrating with fleet management systems, EDI can provide real-time data on vehicle fuel efficiency, enabling carriers to identify areas for improvement and implement eco-friendly measures. Final Thoughts With approximately 59% to 85% of companies in the supply chain adopting EDI, this technology has become an indispensable tool for the trucking industry, enabling carriers to streamline dispatch and delivery processes, improve accuracy, and reduce operational costs. The benefits of implementing EDI software are numerous, and with the future developments in EDI technology, there is much to look forward to. As companies continue to explore ways to improve the efficiency and accuracy of their transportation operations, EDI will undoubtedly continue to play a crucial role in the industry. Ready to optimize your trucking operations with EDI? Schedule a free personalized demo with LIKE.TG now and see how EDI software can revolutionize your dispatch and delivery processes. Manage Business Transactions Faster with LIKE.TG EDIConnect View Demo
Automating Vendor Management in Pharmaceuticals: How Automated Contract Data Extraction Drives Efficiency 
Automating Vendor Management in Pharmaceuticals: How Automated Contract Data Extraction Drives Efficiency 
The pharmaceutical industry is one of the most regulated industries globally, with vendors playing a critical role in the manufacturing process of pharmaceutical products. Managing vendor contracts and documents through automation tools, such as automated contract data extraction, can simplify the process and make it more efficient. The Crucial Role of Vendor Management in the Pharmaceutical Industry Vendor management is crucial for the pharmaceutical industry, ensuring that suppliers providing goods and services meet the required standards. It encompasses a range of activities including vendor selection, onboarding, qualification, contract management, performance monitoring, and payments. The pharmaceutical supply chain is complex, with several third-party vendors involved in the provision of raw materials, manufacturing, and distribution services. Hence, effective vendor management is essential to ensure the quality of purchased products and services, meet regulatory requirements, reduce risk, optimize costs, and improve performance. Pharmaceutical companies must manage their vendors effectively to overcome the challenges they face. Delays in vendor onboarding, inaccuracies in contract management, and poor performance monitoring can lead to increased costs, compromised product quality, supply chain disruptions, and regulatory compliance issues. Identifying and addressing these inefficiencies is crucial to drive operational excellence. Studies have shown that pharmaceutical organizations can save up to 2% of their annual costs through automated contract data extraction. Understanding Automated Contract Data Extraction Contract data extraction is the process of identifying, extracting, and organizing data and information from various agreements, contracts, and other legal documents. It uses artificial intelligence (AI) and machine learning algorithms to automate manual data entry and streamline the extraction of critical information, such as vendor details, contract terms, pricing, and payment terms. Automated contract data extraction tools simplify the contract management process, reduce errors, and improve data accuracy. Benefits Of Using Automated Contract Data Extraction Tools for Vendor Management Effective vendor management requires a thorough understanding of the vendor contracts, including terms and conditions, pricing, and performance metrics. Automated contract data extraction tools can significantly improve the efficiency and effectiveness of vendor management Improved Efficiency and Accuracy Automated contract data extraction tools simplify the process of managing vendor contracts, saving time and improving efficiency. AI and machine learning algorithms speed up the contract review process, reducing the time required for manual data entry and analysis. Moreover, automated tools can help identify inconsistencies and discrepancies in vendor contracts, allowing for quick resolution and preventing potential disputes. This improves the overall efficiency of the vendor management process, allowing pharmaceutical companies to focus on other critical business activities. Enhanced Risk Management Effective vendor management reduces risk in the pharmaceutical supply chain. Automated contract data extraction tools allow pharmaceutical companies to identify and mitigate risks by tracking vendor performance, validating compliance, and monitoring contract changes. The tools can provide real-time alerts for deviations from the agreed-upon terms and conditions, allowing quick corrective action. This ensures that the vendor contracts are always in compliance with regulatory requirements, reducing the risk of non-compliance penalties and reputational damage. Streamlined Communication and Collaboration Automated contract data extraction tools provide a platform for improved collaboration and communication between the pharmaceutical company and vendors. These tools empower vendors with self-service portals, giving them visibility into their contract details and improving communication with the company. The self-service portals can also provide vendors with access to real-time performance metrics, allowing them to identify areas for improvement and take corrective action. This improves the overall collaboration between the company and vendors, leading to better outcomes and a stronger supply chain. Cost Savings and Resource Optimization Effective vendor management reduces the cost of managing contracts and improves the allocation of resources in the pharmaceutical industry. Automated contract data extraction tools reduce the need for manual data entry, saving time and resources that can be redirected to other critical business activities. These tools can also provide real-time analytics and reporting, allowing for better resource allocation and optimization. This ensures that the pharmaceutical company is always using its resources efficiently, leading to cost savings and improved profitability. Future Trends and Developments in Contract Data Extraction Technology Gartner predicts that by 2024, the adoption of AI-based contract analytics tools will reduce the manual effort required for contract assessment by more than 50%. As technology continues to advance, automated contract data extraction tools are continuously evolving. One future trend involves the development of machine learning models that can learn from data sources, resulting in more precise data extraction. This advancement will enable companies to extract a greater amount of data from their contracts, thereby gaining deeper insights into their vendor relationships. Another trend is the integration of contract data extraction tools with mobile platforms, which will enable remote access to contract data. This will allow employees to access critical contract information anytime, improving efficiency and productivity. Embracing Automation for Better Vendor Management in The Pharmaceutical Industry Automated contract data extraction tools have the potential to revolutionize vendor management for pharmaceutical companies. By leveraging AI and natural language processing, these tools streamline processes, improve efficiency, and provide data-driven insights. Implementing these tools is crucial for optimizing vendor management, enhancing relationships, and achieving operational excellence. Embrace automation and unlock the potential of automated contract data extraction tools to drive success in the pharmaceutical industry. See How You Can Automate Data Extraction Download Whitepaper
The Importance of Data Preparation in Machine Learning: Ensuring High-Quality and Reliable Models 
The Importance of Data Preparation in Machine Learning: Ensuring High-Quality and Reliable Models 
Machine Learning (ML) focuses on developing algorithms and models that enable computers to learn from and make predictions or decisions based on data. It encompasses various techniques, such as supervised learning, unsupervised learning, reinforcement learning, and more. In ML, getting accurate results depends on having clean and well-organized data. That’s where data preparation comes in. It’s the process that ensures the data is in the best possible shape for making reliable predictions and gaining meaningful insights. Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. This highlights the critical importance of investing in data quality and efficient data preparation processes; they form the foundation for successful machine learning projects. Data Preparation’s Importance in ML A machine learning model’s performance is directly affected by data quality. Let’s explore what happens if the data is not prepared thoroughly: Compromised Model Accuracy: Machine learning models rely on data patterns. Inaccurate data leads to models built on ‘dirty’ data, resulting in off-the-mark predictions. This can result in both compromised accuracy and increased costs. For instance, a healthcare model trained on unclean data may show an impressive 95% accuracy rating during testing, but when deployed in real healthcare settings, it could fail to diagnose critical conditions. Compounding Errors: In interconnected systems where outputs from one model feed into another, poor data quality can lead to compounding errors. This cascading effect can result in large-scale inaccuracies, especially in integrated digital ecosystems or complex supply chains. Biased Models and Ethical Concerns: When models learn from biased data, they mirror and exacerbate these biases, raising ethical concerns. In areas such as hiring or lending, this perpetuates unfair practices. For example, a hiring algorithm trained on historically biased data might consistently discriminate against qualified candidates from certain demographics. How To Effectively Prepare Data for Machine Learning Machine learning model efficiency hinges on data quality. Let’s explore key steps of data preparation for machine learning to ensure that the models yield reliable and actionable insights. Problem Identification and Understanding First, you must have a comprehensive understanding of your goals, desired outcomes, and any constraints or limitations. With a clear objective you can easily identify which data features are vital and extraneous for the model’s training. Additionally, the nature of the problem inherently dictates the standard for data quality. For instance, a machine learning model tasked with predicting stock prices needs a higher level of data precision than one designed to suggest movie recommendations. Data Collection Next is gathering relevant data that can feed into our machine learning model. This process might involve tapping into internal databases, external datasets, APIs, or even manual data logging. It’s crucial at this stage to ensure data diversity and comprehensiveness in order to safeguard against potential biases and ensure a representative sample. Data Exploration This phase involves summarizing key statistics, creating visual representations of the data, and identifying initial patterns or outliers to check for data quality issues such as duplicates, inconsistent data types, or data entry errors. Data Cleaning Data cleaning focuses on sifting through the data to identify and rectify imperfections in the dataset. It involves tasks like handling missing data, detecting and handling outliers, ensuring data consistency, eliminating duplicates, and correcting errors. This step is crucial as it lays the foundation for reliable insights and ensures that machine learning models work with accurate, high-quality data. Data Transformation Once the data is clean, it might still not be in an optimal format for machine learning. Data transformation involves converting the data into a form more suitable for modeling. This can entail processes like normalization (scaling all numerical variables to a standard range), encoding categorical variables, or even time-based aggregations. Essentially, it’s about reshaping data to better fit the modeling process. Feature Engineering With the data transformed, the next step is to delve deeper and extract or create features that enhance the model’s predictive capabilities. Feature engineering might involve creating interaction terms, deriving new metrics from existing data, or even incorporating external data sources. This creative process involves blending domain knowledge with data science to amplify the data’s potential. Data Splitting Lastly, once the data is prepared and enriched, it’s time to segment it for the training and validation processes. Typically, data is split into training, validation, and test sets. The training set is used to build the model, the validation set to fine-tune it, and the test set to evaluate its performance on unseen data. Proper data splitting ensures the model isn’t overfitting to the data it’s seen and can generalize well to new, unseen data. Data Preparation with LIKE.TG LIKE.TG has exceptional data preparation capabilities for organizations seeking to harness the power of clean, well-prepared data to drive insightful machine-learning outcomes. LIKE.TG not only provides real-time data health visuals for assessing data quality but also offers an intuitive point-and-click interface with integrated transformations. This user-friendly approach makes data preparation accessible to individuals without extensive technical expertise. Let’s look at how LIKE.TG streamlines the process of data preparation for machine learning models: Data Extraction LIKE.TG excels in data extraction with its AI-powered capabilities that allow you to connect seamlessly with unstructured sources. This feature ensures that even data from unconventional sources can be effortlessly integrated into your machine learning workflow. Data Profiling LIKE.TG’s preview-centric UI provides a detailed preview of your data, enabling you to explore and understand your data better before the actual preparation begins. Real-time data health checks ensure you can spot issues immediately and address them proactively. Data Cleansing LIKE.TG offers advanced data cleansing capabilities, including the removal of null values, find-and-replace operations, and comprehensive data quality checks. Additionally, its “Distinct” action ensures that your data is clean and free from redundancies, making it ideal for machine learning applications. Data Transformation LIKE.TG’s visual, interactive, no-code interface simplifies data transformation tasks. You can perform actions like normalization, encoding, and aggregations using point-and-click navigation, making it easy to reshape your data to suit the requirements of your machine-learning models. Ready to optimize your data for machine learning success? Download LIKE.TG’s 14-day free trial today and experience the power of effective data preparation firsthand! Enhance Your ML Models With Trustworthy Data Leverage the power of clean, reliable and well-prepared data to elevate ML model performance in LIKE.TG's no-code environment. Download 14-Day Free Trial
Elevating Real Estate Financial Management: The Benefits of Automated Bank Statement Data Extraction
Elevating Real Estate Financial Management: The Benefits of Automated Bank Statement Data Extraction
Simplifying Real Estate Financial Management: What to Look for in an Automated Bank Statement Data Extraction Solution In the dynamic world of real estate, professionals face the exciting challenge of handling a significant volume of bank statements as part of their financial operations. These statements encompass crucial information such as rental income, property acquisitions, mortgage payments, and maintenance expenses, forming the foundation for well-informed decision-making. Why Automated Bank Statement Data Extraction? Bank statements are available in unstructured format and also differ in schema and format, requiring extensive resources for processing. For instance, customer A hands over their bank statements in a PDF format. This statement is computer-generated, and the transactions are not shown in structured columns. Customer B provides their bank statements as physical copies. This statement consists of several pages, each containing transaction details in a tabular format. Both are unstructured and differently formatted bank statements. Therefore, employees must manually extract data from these documents, which can be time-consuming. Since real estate firms receive hundreds of bank statements every day, manual approach isn’t a practical option. Fortunately, with the introduction of automated solutions, the process of extracting data from bank statements has been revolutionized. This innovative approach saves time and ensures remarkable accuracy, empowering real estate professionals to excel in their endeavors. How Does Automated Data Extraction Work? Automated bank statement data extraction solutions utilize advanced algorithms and artificial intelligence to extract relevant financial data from bank statements automatically. This enables real estate professionals to streamline their financial management processes and allocate their time and resources more efficiently. This also allows them to focus on strategic activities such as property valuation, investment analysis, and client relationship management. With automation in place, real estate professionals can save time, minimize errors, and make data-driven decisions more swiftly and accurately. Financial Data Goals in Real Estate Real estate professionals thrive in a dynamic industry where efficiently managing a diverse variety of bank statements is crucial for financial success. These bank statements encompass a wide range of transactions, including rent payments, property purchases, investments, and maintenance costs. Real estate professionals rely on accurate and timely data extracted from these statements to achieve their financial objectives and drive excellence in their operations. To optimize their financial data management, real estate professionals can turn to an automated bank statement extraction software—a transformative solution that brings numerous benefits. Efficiently Managing a Variety of Bank Statements Real estate professionals encounter a variety of bank statements that capture vital financial information. From tracking rental income and monitoring expenses related to property maintenance to evaluating the financial performance of investments, these bank statements serve as a comprehensive record of real estate operations. With automated bank statement data extraction, real estate professionals can effortlessly manage this variety and volume of bank statements, gaining quick access to accurate financial data. Optimizing Essential Real Estate Operations for Success An automated bank statement extraction software can have a sizable impact on essential real estate operations through: Efficient Cash Flow Management: Timely access to accurate financial data enables real estate professionals to monitor and manage cash flow effectively. Real estate professionals can identify rental income, track expenses, and allocate resources efficiently, enhancing financial stability and profitability. Informed Investment Analysis: Accurate financial data extracted through automation forms the foundation of informed investment analysis. Real estate professionals can evaluate property performance, calculate returns on investment, and identify lucrative opportunities with confidence, maximizing portfolio growth and profitability. Seamless Compliance Reporting: Automated extraction ensures accurate and complete financial records, reducing the risk of compliance issues. Real estate professionals can meet regulatory requirements effortlessly, saving time and resources while maintaining a solid reputation in the industry. Essential Features for an Automated Bank Statement Data Extraction Tool for Real Estate Professionals Real estate professionals require automated bank statement extraction software that caters specifically to their industry needs. Let’s explore the key features that can address real estate-specific challenges Efficient Extraction of Information from Diverse Bank Statements Transactions in real estate involve diverse bank statements, capturing information related to rent payments, property purchases, investments, and maintenance costs. An AI-powered template-based data extraction feature plays a crucial role in efficiently handling a variety of bank statements. It allows real estate professionals to design templates with minimal manual intervention, ensuring accurate and consistent data extraction from different statement formats. This feature saves time, reduces manual errors, and ensures a streamlined process of extracting vital financial data for comprehensive property analysis and financial decision-making. Propelling Property Intelligence: Powerful ETL for Business Insights Real estate deals involve complex financial data associated with properties, such as rental income, mortgage payments, operating expenses, and cash flow statements. A powerful ETL engine within an automated bank statement data extraction tool enables real estate professionals to process and transform this complex data into meaningful insights. It facilitates data consolidation, transformation, and loading, allowing professionals to analyze property-related financial information efficiently. This feature empowers real estate professionals to gain a comprehensive understanding of property performance, identify trends, and make informed investment decisions. Expanding Client Reach Real estate professionals juggle various responsibilities, including property management, negotiation, and strategic planning. Workflow automation within an automated bank statement data extraction tool frees up their valuable time by automating repetitive tasks and streamlining the data extraction process. With automated workflows, real estate professionals can focus on core activities such as diversifying their portfolio of properties, serving more clients, and generating more revenue. Optimizing Property Management Accurate financial records are vital for effective property management, financial forecasting, and regulatory compliance in the real estate industry. A data quality assurance feature in an automated bank statement extraction software enables real estate professionals to validate extracted information and ensure its accuracy. This feature allows professionals to set custom data quality rules, identify anomalies, and address potential errors or discrepancies before making critical financial decisions. With reliable and precise financial data, real estate professionals can confidently analyze property performance and project future outcomes and ensure compliance with regulatory requirements. Conclusion The right automated bank statement data extraction tool can lay the cornerstone for success in the real estate industry. The right tool can pave the way for new levels of success in your real estate business by optimizing your financial management process, amplifying financial visibility, and facilitating data-driven strategic focus. With the power of automated bank statement data extraction, you can navigate the intricate maze of financial data with ease, stay ahead of market trends, and steer your real estate business toward sustained growth and profitability. LIKE.TG ReportMiner is a powerful data extraction tool that can help you: Save time: AI-powered LIKE.TG ReportMiner can automatically extract data from multiple documents at a time. Improve accuracy: LIKE.TG ReportMiner has an industry leading ETL engine that can integrate extracted data into your existing systems. Make better decisions: LIKE.TG ReportMiner can connect to a variety of data sources, including databases, cloud storage, and flat files. This gives you the flexibility to extract data from anywhere and integrate it into your existing systems. LIKE.TG ReportMiner is also: Easy to use: LIKE.TG ReportMiner is easy to use, even for users with no technical experience. The user interface is intuitive and easy to navigate. Scalable: LIKE.TG ReportMiner is scalable to meet the needs of businesses of all sizes. It can handle even the most extensive data extraction projects. Automate Data Extraction With LIKE.TG ReportMiner View Demo
Top 8 Data Wrangling Tools in 2024
Top 8 Data Wrangling Tools in 2024
Around 328.7 million terabytes of data is created each day. While an abundance of data can fuel innovation and improve decision-making for businesses, it also means additional work of sifting through it before transforming it into insights. Thankfully, businesses now have data wrangling tools at their disposal to tame this data deluge. Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency. In this blog, we will explore the benefits of data wrangling tools and the top contenders in the market. Understanding Data Wrangling The data wrangling process involves several key steps that transform raw data into a usable format. Here are the key stages in the data wrangling process: Collecting data from all sources Inspecting data for quality issues and inconsistencies. Cleaning data to fill missing values, remove duplicates, and correct errors. Transforming data to fit it into certain formats Integrating data from disparate sources Data wrangling is the backbone of data science and analysis because it resolves errors, inconsistencies, and missing values in raw data. It also reduces biases and improves analysis accuracy, enabling discovery of hidden patterns and relationships. Let’s look at how the leading tools in the market handle data wrangling. 8 Data Wrangling Tools to Choose From in 2024 LIKE.TG LIKE.TG is a code-free, easy-to-use data integration tool that is designed for users with all levels of technical capabilities. LIKE.TG offers end-to-end data management from extraction to data integration, data warehousing and even API management. The tool can save you countless hours of manual work. Plus, you don’t need to hire experts to use this tool. Here are some noteworthy features of LIKE.TG, which make it an excellent for data wrangling: Key Features of LIKE.TG User-friendly interface: LIKE.TG is designed for business and technical users alike. Its simple, drag-and-drop interface empowers business users to prepare data themselves, without relying extensively on IT or coding. AI-based Data extraction: You can use the tool to easily extract data from unstructured data sources within minutes. The AI algorithms can easily detect the field you want to extract, eliminating the need to make templates for different kinds of document formats. Variety of Connectors: The tool supports a large library of on-premises and cloud-based sources and destinations including databases, data warehouses, and data lakes. You can also connect to any other source or destination easily through pre-built API connectors. Data transformation: LIKE.TG offers various built-in transformations and functions that allow you to manipulate your data the way you want. All you need to do is simply drag and drop the required transformations and map them to your data pipeline. LIKE.TG makes it easier to work even with complex transformations such as normalization/denormalization, decision tree etc. Data Quality features: The tool supports robust built-in data quality that allow you to easily cleanse, profile and validate data. You can also specify data quality rules to flag erroneous records which you can review later. Automation: Set up your workflows once and leverage LIKE.TG’s job scheduling features to automate the entire process. Parallel-processing Engine: LIKE.TG is built on an industrial-strength parallel-processing engine which handles large data sets seamlessly. Get Started with LIKE.TG For Free 14-Day Free Trial Tableau Desktop Tableau Desktop is primarily a data visualization and analytics tool that allows you to create interactive visualizations and dashboards. While Tableau Desktop excels in data visualization, it also offers several features for data wrangling. Key features of Tableau Desktop Data Connection: Tableau Desktop supports connectivity to a wide range of data sources, including databases, spreadsheets, and online services. You can connect to your data source(s) and import the data into Tableau’s interface to work with your data. Data Transformation: It provides a range of transformation options to convert your data. You can pivot data from wide to long format or vice versa, transpose rows and columns, and split or combine fields. These transformations help in preparing the data to match the desired format for analysis and visualization. Automation and Scripts: Tableau’s JavaScript API (Application Programming Interface) and Tableau Prep Builder automation and scripting capabilities allow you to automate repetitive data preparation tasks and integrate Tableau with other tools or systems. Data Cleaning: The tool is equipped with various cleaning capabilities, such as handling missing values, removing duplicates, and correcting inconsistent or erroneous data. You can use Tableau’s data quality functions and techniques to ensure your data is accurate and reliable for analysis. Python Pandas Python pandas is an open-source library used for data manipulation and analysis. Itprovides data structures and functions that are specifically designed to make working with structured data, such as tabular data, more efficient and intuitive. Pandas is built on top of the NumPy library, which provides support for mathematical and numerical operations in Python. One of the main data structures in pandas is the DataFrame, which is a two-dimensional table-like data structure with labeled axes (rows and columns). DataFrames allow you to store and manipulate data in a way that resembles working with spreadsheets or SQL tables. It provides various functionalities for indexing, slicing, filtering, grouping, and aggregating data. Here is how you can use Pandas as a data wrangling tool: Data manipulation: Pandas provides powerful tools for cleaning, and transforming data. You can perform operations like merging and joining datasets, filtering rows based on conditions, adding or removing columns, and handling missing data. Key features of Python Pandas Data analysis: It offers a wide range of statistical and analytical functions to explore and summarize data. You can perform descriptive statistics, apply mathematical operations, perform grouping and aggregation, and generate various visualizations. Input/output support: Pandas supports reading and writing data in various formats, including CSV, Excel, SQL databases, JSON, and more. Time series analysis: It includes tools for resampling, time shifting, rolling windows, and handling time-based data formats. Integration with other libraries: The tool integrates well with other scientific computing and data analysis libraries in the Python ecosystem. OpenRefine OpenRefine OpenRefine, formerly known as Google Refine, is an open-source data wrangling tool. OpenRefine is an easy to use tool with a widewide range of features that help users work with messy and inconsistent data to make it more structured and useful. OpenRefine is designed to handle large datasets and allows users to perform complex with ease. One of the primary functions of OpenRefine is data cleaning. It allows users to explore and clean data by identifying and fixing inconsistencies, errors, and missing values. Key Features of Openrefine The tool provides various methods to transform data, such as splitting cells, merging columns, and correcting values using regular expressions. OpenRefine also supports clustering and faceting features to detect and reconcile similar values within the data set. It provides a record linkage feature that helps users match and merge data from multiple sources. Get the guide to effective data quality management Download Free E-book Apache Spark Apache Spark is an open-source distributed computing system that provides a fast and general-purpose framework for large-scale data processing and supports a wide range of data analytics tasks Key Features of Apache Spark Distributed Computing: Apache Spark is built for distributed computing which means it can process and analyze large datasets across a cluster of machines,, enabling parallel processing and high scalability. Data Loading: Apache Spark supports various data sources, including file systems (such as Hadoop Distributed File System (HDFS), S3, and local filesystems) databases. Data Transformation: It provides a wide range of transformation operations, such as filtering, mapping, aggregating, joining, and sorting. Data Splitting and Sampling: It also allows users to split datasets into subsets or perform random sampling for data exploration and analysis purposes. This functionality is useful for tasks like data validation, model training, and testing. Datameer Datameer is a data preparation and analytics platform designed to simplify and accelerate the process of exploring, transforming, and analyzing large volumes of data. Key features of Datameer Data Integration: The tool offers built-in connectors for various data sources, including databases, HDFS, cloud storage platforms, and more. It allows users to easily import and integrate data from multiple sources into a centralized workspace for analysis. Data Transformation:Datameer features a familiar, spreadsheet-like interface that makes it easy for users to navigate, explore, and manipulate data. Users can interact with data directly, apply formulas, and perform ad-hoc analysis within the intuitive interface. Alteryx Alteryx is primarily a data analytics and data science platform that empowers you to extract valuable insights from their data. The tool provides a comprehensive sets of features for data preparation, blending and analysis, which makes it a good data wrangling tool as well. Key features of Alteryx Data Preparation: Alteryx provides a wide range of tools for data cleansing, transformation, and enrichment. You can format data, handle missing values, merge and join data sets, and perform calculations or aggregations. Data Blending: You can combine data from multiple sources and systems, regardless of their format or location. Alteryx supports various data sources, including databases, and cloud services. Data Connectors: It provides connectors for a wide range of data sources, such as databases, cloud platforms, file formats, and applications. Data Profiling and Quality Control: Alteryx also offers data profiling capabilities to assess the quality, structure, and content of datasets. You can identify data issues, validate data integrity, and ensure data quality throughout the analytics process. Version Control: Alteryx provides version control functionality, allowing users to track changes made to workflows, collaborate on different versions, and revert to previous versions if needed. Trifacta Wrangler Trifacta is a commercial data wrangling tool that provides a visual interface for data preparation and cleaning Key Features of Trifacta Wrangler Visual Data Exploration: Trifacta allows you to interactively explore and understand their data. You can preview the data, visualize distributions, and identify patterns and outliers to gain insights into the dataset. Data Cleaning and Transformation: It comes with built-in functions and transformations to clean and preprocess data. You can handle missing values, remove duplicates, standardize formats, and correct errors. The tool also supports transformations like splitting columns, merging data, and deriving new variables using expressions and formulas. Data Profiling and Quality Assessment: You will also find data profiling capabilities that analyze the dataset and provide statistical summaries, data quality assessments, and data lineage information. Data Integration and Connectivity: Trifacta supports integration with various data sources and formats, including databases, files (such as CSV, Excel, JSON), cloud storage platforms, etc. Why Invest in a Data Wrangling Tool? Raw data is often ridden with missing values, outliers, and inconsistencies. The sheer volume and velocity of raw data often make it challenging to clean and manipulate it at the speed required by the data-driven world today. Data wrangling tools make the process easier through automation: Here are some of the benefits of using data wrangling tools: Efficiency: Data wrangling tools come with intuitive interfaces, drag-and-drop functionalities, and pre-built functions that simplify and accelerate data cleaning, transformation, and integration. Improved Data Quality and Consistency: The built-in functions and algorithms in data wrangling tools enhance data quality, ensure accuracy, completeness, and consistency across datasets. They enable you to easily fix missing values, outliers, inconsistencies, and formatting issues. Data Integration and Compatibility: The tools support various file formats, databases, APIs, and data connectors, which simplify data integration from diverse sources. Enhanced Data Exploration and Visualization: Many data wrangling tools provide visualization capabilities, allowing you to explore and visualize data during the wrangling process. This feature helps you in understanding data distributions, identifying patterns, and detecting outliers or anomalies. Scalability : The best part about data wrangling tools is their ability to handle large data volumes, allowing seamless scalability. These tools employ optimized algorithms and parallel processing techniques, enabling faster data processing and analysis. Repeatability and Documentation: You can easily create automated workflows or scripts to capture the steps performed during the data preparation process and then repeat them for consistency and reproducibility in analysis. How to Choose the right Data Wrangling Tool? Ultimately, the data wrangling tool you choose for your business depends on its requirements , your budget, and the type of data sources you deal with. Here are some common factors that you should keep in mind: Data Requirements: Consider the types and volumes of data you will be working with. Some tools may excel at handling structured data, while others may be better suited for unstructured or semi-structured data. Evaluate whether the tool can handle the data formats, sizes, and complexities specific to your use case. Ease of Use: Look for a tool with an intuitive and user-friendly interface. Data wrangling often involves complex operations, so a tool that offers a visual and interactive approach to data wrangling, such as a drag-and-drop interface or a graphical workflow designer, can make the process more efficient and accessible for your teams. Functionality: Evaluate the tool’s data wrangling capabilities and the host of features it offers. You should also consider the range of data transformation and cleansing functions it offers, such as data merging, splitting, filtering, and aggregation. Look for features that can automate repetitive tasks and streamline your data preparation workflows. Data Connectivity: Assess the tool’s ability to connect to various data sources and systems. Ensure that it supports the data formats and protocols relevant to your organization, such as databases, cloud platforms, APIs, or file formats. The tool should enable seamless data integration and extraction from diverse sources. Scalability and Performance: Consider the tool’s ability to handle large volumes of data efficiently. Evaluate its performance capabilities, including processing speed and memory management, to ensure it can handle large data volumes within acceptable time frames. Next Step – Transform Your Data With LIKE.TG Centerprise The ever-increasing amount of data today warrants the use of code-free data wrangling tools that make data preparation and cleaning easier. These tools are the key to getting timely insights, So, if you want to equip your business with a competitive edge, it only makes sense to invest in a future proof data wrangling tool that all your team members can use easily. However, ensure you keep your business requirements at the front and center when deciding on the tool. Want to accelerate data wrangling? Download 14-day free trial of LIKE.TG Centerprise today.
Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 
Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 
Every day, companies receive sales figures from various regions, customer feedback from online platforms, and market trends from industry reports. Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in. Both processes combine data from multiple sources, consolidate them into a unified whole, and prepare them for analysis. This process paves the way for insightful decision-making and a comprehensive understanding of business operations. The Building Blocks of Insights: Understanding Data Integration and Consolidation The Basics of Data Integration Data integration is a process that involves combining data from various sources to provide a unified view of an organization’s performance. This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses. Each data source has it’s a unique structure and format, making it difficult to collate and analyze the data. Simplifying Data Consolidation Data consolidation is a process that involves taking multiple sources of data and homogenizing them so that they can be easily compared and analyzed. In this process, data is combined into a single location and then restructured, usually by standardizing the data structure and format to ensure consistency. Data consolidation aims to create a unified data set that can be easily analyzed, allowing businesses to gain valuable insights and make informed decisions. Understanding the Difference Between Data Integration and Data Consolidation Data integration and consolidation are often used interchangeably, but these two processes have some key differences. Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs. By doing so, they can ensure that their data is accurate, consistent, and reliable. Uniting Information Sources: Exploring Different Data Integration Approaches Several techniques are available for data integration, each with its unique benefits. Here are some of the data integration approaches: Extract, Transform, Load (ETL) Process ETL is a popular data integration technique that involves extracting data from one or more sources, transforming it into a suitable format, and loading it into a target location, such as a data warehouse. This would allow the company to analyze its data in one place and gain insights into its customers’ behavior across different channels. End-to-end data management tools such as LIKE.TG Data Stack make this process easier by providing a drag-and-drop interface for creating data integration workflows with data cleansing, validation, and transformation functionalities. Data Virtualization Data virtualization is another data integration technique that provides a unified real-time view of information without physically consolidating the data. This technique allows businesses to access data from multiple sources seamlessly. For example, let’s say a company wants to provide its sales team with a unified view of customer data from its CRM system and website. Instead of physically consolidating the data into a single database, they could use a data virtualization tool to create a virtual database that combines the data from both sources. This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization. It enables real-time data exchange and facilitates seamless communication between various systems. For instance, a retail company integrates its point-of-sale (POS) system, inventory management system, and online store. With EAI, customer orders from the online store automatically update inventory in real-time, ensuring accurate stock availability. EAI also synchronizes customer data across systems, eliminating manual entry and ensuring consistency. The Art of Data Consolidation: Exploring Various Approaches to Bring it All Together Some of the popular approaches to data consolidation in data preparation are: Data Warehousing Data warehousing involves creating a centralized repository that stores and organizes data from various sources. It enables efficient data retrieval, analysis, and reporting. Data warehouses are designed to support complex queries and provide a historical data perspective, making them ideal for consolidated data analysis. They are used when organizations need a consolidated and structured view of data for business intelligence, reporting, and advanced analytics. Data warehouses enable historical analysis, and trend identification and support strategic decision-making by providing a reliable and consistent data foundation. Data Lake A data lake is an unstructured storage system that stores large volumes of raw data. Unlike a data warehouse, a data lake does not limit the data types that can be stored, making it more flexible, but also more challenging to analyze. One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types. Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data. MDM ensures data consistency, reduces duplication, and enhances data quality across systems. It is particularly useful in scenarios where data integrity, data governance, and data quality are of utmost importance, such as customer data management, product information management, and regulatory compliance. One of the key benefits of MDM is that it can help to improve data quality and reduce errors. Organizations can avoid inconsistencies and discrepancies when data is stored in multiple locations by creating a single source of truth for critical data. Efficient Data Preparation: Enabling Value Delivery through Integration and Consolidation Ensuring quality, consistency, and compatibility is crucial to integrate and consolidate data effectively. Preparing data involves: Data Profiling and Cleansing: To lay the groundwork for reliable data integration, it is imperative to thoroughly analyze the characteristics and quality of the data through profiling. By identifying and resolving inconsistencies, errors, and redundancies, data cleansing further enhances the integrity of the data. Data Mapping and Transformation: Data mapping bridges data elements from diverse sources. Organizations can mold the data to align seamlessly with the target data model or format through data transformation. This critical step ensures compatibility, enabling a unified and coherent view of the information. Data Quality Assessment: Regularly assess the quality of the data by defining data quality metrics such as completeness, accuracy, and consistency. By consistently improving and addressing any quality issues, organizations can enhance the overall trustworthiness of their data assets. Data Security, Governance, and Privacy: Organizations must adhere to data governance policies, ensuring compliance and establishing proper access controls. By safeguarding data privacy and adhering to data protection regulations, organizations can build trust with their stakeholders and protect their valuable data assets. Data Normalization, Standardization, and Deduplication: Organize the data into well-structured tables through normalization, eliminating redundant information. Standardizing data from diverse sources, including formats, units, and conventions, promotes consistency and integration. Identifying and removing duplicate records also maintains data integrity and fosters accurate insights. Unifying Data: Best Practices for Seamless Data Integration and Consolidation Developing a Strategic Data Blueprint: Organizations must create a robust data strategy that aligns with their business goals. This blueprint encompasses key elements such as data integration and consolidation objectives, well-defined data governance policies, and a clear roadmap for successful implementation. Establishing a Solid Data Governance Framework: A robust data governance framework ensures data quality, privacy, and compliance. It involves defining data ownership, clarifying roles and responsibilities, establishing data standards, and implementing effective data stewardship practices. Ensuring Data Accuracy and Quality: Continuously monitoring and improving data quality is essential for seamless data integration and consolidation. Implementing data quality checks, automating data validation processes, and setting up data quality metrics help maintain high-quality and accurate data. Selecting the Right Data Preparation Tool: Choosing suitable data preparation tools is critical. Consider data volume, complexity, real-time requirements, and scalability when selecting ETL tools, data virtualization platforms, or data consolidation solutions. Thorough Testing and Validation of Integrated Data: Rigorous testing and validation are vital to ensure the reliability and accuracy of integrated and consolidated data. Conduct data reconciliation, validate data transformations, and perform end-to-end testing to identify potential issues or discrepancies. Driving Data Excellence: Unlocking Insights with Advanced Data Preparation In the realm of data preparation, the integration and consolidation of data are essential for unlocking valuable insights and making informed decisions. However, the true power of data preparation lies in harnessing the capabilities of artificial intelligence (AI). AI-powered data preparation tools like LIKE.TG Data Stack offer advanced functionalities that streamline integration and consolidation. With AI, organizations can automate various tasks involved in data preparation, such as automated data profiling, intelligent data cleansing, machine learning-based mapping, and transformation. By embracing AI in data preparation, organizations can unlock the full potential of their data assets and pave the way for data-driven success in the digital age. Learn more here or get in touch to see how LIKE.TG can help.
Revamping HR Data Management: Finding the Optimal Automated Contract Data Extraction Tool for Multinational Companies 
Revamping HR Data Management: Finding the Optimal Automated Contract Data Extraction Tool for Multinational Companies 
Human Resources (HR) departments take center stage as the driving force behind optimizing workforce management and propelling informed decision-making. With a multitude of contracts to handle, the complexity and diversity of these documents necessitate a sophisticated yet user-friendly solution to effectively manage and extract vital data. This is where the role of automated contract data extraction tools comes into play, offering the perfect blend of efficiency, reliability and speed. Understanding HR’s Unique Requirements for Contract Data Extraction HR departments play a pivotal role in managing an organization’s workforce and are responsible for handling a wide range of contracts, including employment agreements and benefit enrollment forms. Contract data extraction involves the process of extracting relevant information from these contracts and organizing it in a structured format. This allows HR professionals to easily search, analyze, and utilize the extracted data, ensuring accurate record-keeping, regulatory compliance, and informed decision-making throughout the employee lifecycle. HR Empowered: The Strategic Edge of Automated Contract Data Extraction The benefits of automation in contract data extraction are profound. While only 17% of organizations utilize AI-based solutions in their HR function currently, the advantages it brings are significant. From achieving substantial time and cost savings to ensuring accuracy and promoting compliance, the benefits of automation are multifaceted. With the ability to handle voluminous and complex contracts, automated tools offer a distinct edge in today’s rapidly evolving corporate landscape. Let’s delve into how HR professionals can capitalize on the synergy between automated contract data extraction and AI to leverage these benefits: Streamline Recruitment and Onboarding Processes: Automated contract data extraction tools equipped with AI capabilities can quickly extract essential information from candidate contracts and employment agreements. By automating the extraction of data such as start dates, compensation details, and job titles, HR professionals can accelerate the recruitment and onboarding processes. This ensures smoother transitions for new employees, minimizes administrative burdens, and enables HR teams to focus on providing a positive onboarding experience. Efficient Benefits Administration: Automated contract data extraction tools integrated with AI can extract relevant data from benefit enrollment forms, insurance contracts, and other related documents. By automating the extraction of information like employee dependents, coverage details, and eligibility criteria, HR professionals can efficiently administer benefits programs. This ensures accurate and timely enrollment, reduces errors, and allows HR teams to provide comprehensive benefits packages tailored to employees’ needs. Compliance Monitoring and Risk Mitigation: Automated contract data extraction tools powered by AI can assist in monitoring compliance and mitigating risks. These tools can analyze contracts and identify potential compliance issues, such as non-standard clauses or expired agreements. By automating the identification of risks and non-compliant contracts, HR professionals can take proactive measures to address them, reducing legal and financial risks for the organization. Quick Workforce Insights: Automated contract data extraction tools with AI capabilities swiftly extract performance-related data, such as goals, feedback, and ratings, enabling HR professionals to effectively analyze and evaluate employee performance. Additionally, by extracting and structuring contract data, HR teams can gain valuable insights into various workforce aspects, including turnover trends, the effectiveness of employee agreements, and areas for contract negotiations to enhance employee retention. With these AI capabilities, HR departments can optimize performance management and make data-driven decisions for workforce improvement. HR’s Decision Guide: Key Factors for Choosing Contract Data Extraction Tools Selecting the right automated contract data extraction tool is crucial for HR companies seeking to enhance their data management processes. Below are key factors to consider when evaluating potential solutions: Accuracy and Extraction Capabilities HR companies should prioritize tools that offer high accuracy rates in extracting data from a variety of contract types. An important feature to look for is AI-powered template extraction, which uses machine learning algorithms to recognize and extract data based on predefined templates. Additionally, the tool should excel at optical character recognition (OCR), entity recognition, and contextual understanding to ensure comprehensive and precise extraction capabilities. Support for Unstructured Documents Contracts and HR documents often arrive in different formats and structures, including unstructured ones such as PDF, PNG, TXT files, and more. A robust automated contract data extraction tool should be capable of handling unstructured documents efficiently. HR companies should look for features that leverage AI and natural language processing to analyze the context and structure of the document. This enables accurate data extraction, even from non-standard contract formats, resulting in a more versatile and comprehensive solution. Data Quality Rules Maintaining data integrity is paramount in HR data management. An effective automated contract data extraction tool should include data quality rules that automatically validate extracted data against predefined criteria. These rules serve as checks to ensure the accuracy, consistency, and completeness of the extracted data. By implementing data quality rules, HR companies can enhance data integrity, minimize errors, and maintain reliable information for strategic decision-making. Parallel Processing HR companies often face a large volume of contracts that need to be processed efficiently. Parallel processing capabilities enable the tool to handle multiple contracts simultaneously, significantly reducing extraction time. This feature is especially important for HR departments dealing with multinational companies or extensive contract repositories. It ensures timely and efficient extraction, enhancing productivity and enabling HR professionals to focus on other strategic tasks. Scalability and Performance HR departments experience growth and changes in contract volumes as the organization expands. It is essential to choose an automated contract data extraction tool that can scale seamlessly to meet evolving demands. Cloud-based solutions with on-demand computing resources offer the scalability needed to accommodate growing contract volumes without compromising performance, ensuring efficient data extraction and processing as the HR department expands. Security and Compliance Data security and compliance are crucial in HR, as sensitive employee information is at risk. A survey found that 37% of people have accidentally accessed confidential information of their colleagues at work. Therefore, HR companies must look out for tools that adhere to privacy regulations, offering encryption, access controls, and secure data storage. This safeguards against data breaches, builds trust and ensures a secure environment for employees. Revolutionize Your HR Data Management with LIKE.TG ReportMiner Unlock the potential of AI-driven contract data extraction with LIKE.TG ReportMiner. Enhance accuracy, scalability, and security in your HR processes. Book your personalized demo and see how LIKE.TG ReportMiner can benefit your HR department! Schedule a Demo Final Thoughts When it comes to selecting the right automated contract data extraction tool, the focus on AI and automation becomes essential. These technologies are no longer a luxury but a necessity in the ever-evolving landscape of HR data management. LIKE.TG ReportMiner stands out as a shining example in this space, offering AI-driven data processing, flexible data exporting, stringent data quality rules, and parallel processing capabilities. Its commitment to security, compliance, and ease of use makes it an optimal choice for HR departments. Its advanced features enable HR companies to automatically generate report models for multiple contractual documents simultaneously, regardless of layout or format. This accelerates the data-to-insights journey, providing HR departments with the tools they need to make informed decisions. By choosing LIKE.TG ReportMiner, multinational corporations can smoothly navigate the complexities of contract data extraction, transforming it into an efficient, manageable process that drives enterprises to new heights of success. Download your free 14-day trial of LIKE.TG ReportMiner today and embark on the journey to streamline your HR data management processes! Streamline HR Data Management with a Free Trial of LIKE.TG ReportMiner Experience the ease of automated contract data extraction with LIKE.TG ReportMiner. Try our no-code solution free for 14 days and discover the efficiency and accuracy it brings to HR data management. Start Your Free 14-Day Trial
EDI Integration: The Key to Unlocking Seamless Business Processes
EDI Integration: The Key to Unlocking Seamless Business Processes
Electronic Data Interchange (EDI) integration plays a crucial role in enabling seamless connectivity and streamlined collaboration for businesses. By electronically exchanging vital business documents, EDI eliminates manual data entry and paper-based processes, resulting in faster and more accurate transactions between trading partners. Effective data exchange and collaboration are imperative for organizations to stay competitive. EDI integration is the key to simplified communication, enhanced business process integration, and increased visibility across the supply chain. Read more on: What is EDI? Understanding EDI Integration EDI integration refers to the seamless exchange of business documents, such as purchase orders, invoices, and shipping notices between different trading partners. It facilitates the transfer of structured data, removing the need for manual data entry and paper-based transactions. Through EDI integration, organizations can automate their data exchange processes, minimizing errors and accelerating business operations. Streamlining Business Processes with EDI Integration By seamlessly integrating EDI solutions with existing systems, such as Enterprise Resource Planning (ERP) software, organizations can automate tasks that would otherwise be time-consuming. This integration allows for more efficient order processing, inventory management, and invoice generation. Furthermore, EDI integration enables real-time data exchange, ensuring that all stakeholders have access to accurate and up-to-date information and leading to better decision-making and operational efficiency. Here are some ways EDI integration can streamline business processes: Order processing:This can include tasks such as creating purchase orders, sending invoices, and tracking shipments. By automating these tasks, businesses can save time and money, and improve accuracy. Inventory management:EDI integration can be used for tracking inventory levels, receiving shipments, and issuing picking and packing slips. As a result, businesses can improve their inventory accuracy and reduce stockouts. Invoice generation:Creating invoices, sending invoices, and tracking payments can all be automated through EDI integration. When this is done, businesses save both time and money. Customer service:EDI integration can help to improve customer service by providing businesses with real-time data on customer orders, inventory levels, and shipping status. This information can be used to provide customers with accurate and up-to-date information about their orders and resolve any problems or issues that may arise. Collaboration: Successful business relationships are built on effective collaboration, and EDI integration promotes seamless collaboration among trading partners. Organizations can use EDI to share critical business information in a standardized and structured format with their partners, eliminating the need for manual data entry and lowering the risk of miscommunication. Automation: By automating data exchange, organizations can eliminate the need for manual data entry, reducing the risk of human error and accelerating overall business processes. Through EDI integration, businesses can seamlessly generate and process purchase orders, invoices, and other essential documents, resulting in time savings, improved accuracy, and increased productivity. Cost Savings By eliminating manual processes, businesses can significantly reduce administrative costs associated with data entry, paper handling, and document storage. Additionally, the automation and streamlining of business processes through EDI integration leads to faster order fulfillment, fewer discrepancies, and improved inventory management. This results in reduced carrying costs and optimized resource utilization. Increased Visibility Visibility plays a vital role in effective decision-making and proactive business operations. EDI integration provides organizations with real-time visibility into their supply chain, enabling them to track inventory levels, monitor order status, and respond swiftly to changes in demand. With enhanced visibility, organizations can make data-driven decisions, optimize their operations, and identify opportunities for improvement, ultimately gaining a competitive edge in the market. For instance, Nike utilizes EDI to gain visibility into its global supply chain network. By integrating its Enterprise Resource Planning (ERP) system with its trading partners’ systems through EDI, Nike can access real-time data on inventory availability, order status, shipment tracking, and delivery confirmation. This empowers Nike to manage its inventory more efficiently, reduce stock-outs or overstocks, and effectively meet customer expectations. Conclusion The future of EDI integration is promising, with its technical capabilities and transformative potential including cloud-based platforms, API-driven connectivity, AI-powered data transformation, integration with emerging technologies, and standardized interoperability. By embracing EDI integration as a core component of their digital strategy, organizations can harness the power of seamless collaboration, advanced automation, cost savings, and enhanced visibility. With the right approach, EDI integration will not only optimize current operations, but position organizations to thrive in an increasingly interconnected and technology-driven business landscape. See How LIKE.TG EDIConnect Helps Exchange Data Faster with Your Trade Partners View Demo
Empowering Manufacturing with AI: Selecting the Ideal Automated Shipping Document Data Extraction Tool 
Empowering Manufacturing with AI: Selecting the Ideal Automated Shipping Document Data Extraction Tool 
In the vibrant and rapidly evolving manufacturing environment, companies generate and handle a multitude of shipping data daily. This data, encompassing everything from invoices and packing lists to purchase orders and shipping orders, if processed and analyzed correctly, can unlock immense value for manufacturing businesses. Instead of viewing the vastness and diversity of this data as a hurdle, progressive manufacturers are seeing it as a stepping stone towards improved decision-making and enhanced operational efficiency. They’re turning to cutting-edge technologies like AI-powered automated shipping document data extraction tools to efficiently manage this data wave. These tools offer the dual advantage of mitigating human error in data handling and facilitating immediate data processing, making them indispensable in today’s fast-paced manufacturing milieu. How Automated Shipping Document Data Extraction is Reframing Manufacturing AI-powered tools are proving to be more than just functional assets, rather they are becoming the linchpins of a robust and efficient data management strategy in the industry. Boosting Efficiency and Precision Automated data extraction tools, enhanced by AI technology, effectively manage the extensive and varied data inherent in manufacturing. For instance, in automobile manufacturing, where thousands of components are sourced, assembled, and shipped, these tools can efficiently process large volumes of data from various shipping documents such as invoices, packing lists, and purchase orders. This streamlines operations by significantly reducing the burden of manual data entry, thereby improving accuracy and minimizing the risk of errors. Enabling On-Demand Data Processing Consider the food and beverage manufacturing industry, where factors such as product freshness and expiry dates are of utmost importance. In such a scenario, automated data extraction tools can swiftly process information from shipping documents, enabling instantaneous access to critical data. This ability to process data in real-time empowers manufacturers to react quickly to any supply chain fluctuations. Consequently, they can manage their inventory more effectively, optimize their order processing, and utilize resources more efficiently, all of which are key to maintaining a robust and agile manufacturing operation. Unearthing Actionable Insights These AI-driven tools also hold the key to data-driven decision making. For instance, in aerospace manufacturing, where precision and timeliness are crucial, these tools can swiftly analyze shipping data to provide comprehensive operational insights. They can detect patterns, anticipate trends, and empower manufacturers to make strategic decisions that can improve quality control, cost-efficiency, and overall competitiveness. Key Considerations in Selecting an Automated Data Extraction Tool for Manufacturing As manufacturing enterprises seek to capitalize on the power of automated data extraction tools, there are certain key factors they need to consider. Tailored for Manufacturing-Specific Requirements Every industry comes with its own set of unique data challenges, and manufacturing is no different. Whether it’s the automotive sector dealing with complex parts inventories, or pharmaceutical manufacturers handling highly sensitive and regulated data, the selected tool should be tailored to handle the diversity and complexity of data in its specific context. For instance, an ideal data extraction tool for a steel manufacturing company would be one capable of processing shipping documents with details about the wide array of alloys used, their specific characteristics, and their shipping requirements. Utilize AI for Advanced Data Management AI capabilities are now a key feature of data extraction tools. These include automated extraction of relevant data from unstructured documents and funneling this data to the desired location for processing and analysis. Chemical manufacturing companies often grapple with complex shipping documents containing information about various chemicals, safety measures, and shipping instructions. An AI-powered tool can efficiently extract and organize this data, providing critical insights and enhancing decision-making processes. Seamless Integration with Existing Systems Manufacturing units often operate with an array of systems for different operational needs. It could be an ERP system like SAP for managing business processes, or a CRM like Salesforce for handling customer relationships. Therefore, the chosen automated data extraction tool should integrate seamlessly with these existing systems to provide a holistic view of the entire operation. For example, in textile manufacturing, where supply chain efficiency is crucial, a data extraction tool that integrates with the existing supply chain management system could streamline the process of tracking raw materials, production, and distribution. Robust Security and Compliance Measures Manufacturing companies often deal with sensitive information, and breaches in data security can have significant repercussions. Consider the aerospace industry, where confidential blueprints and designs need to be protected, or the food and beverage industry that needs to comply with strict safety regulations. Therefore, it’s crucial that the chosen data extraction tool adheres to high-security standards and regulatory compliance. Scalability for Growing Operations Manufacturing operations are not static; they evolve and grow over time. Consider an electronics manufacturing company launching a new product line. The corresponding increase in data from shipping documents will require a data extraction tool that can scale to handle this additional load without compromising performance. Accessible and Responsive Customer Support As with any technology, there can be hiccups along the way. Whether it’s a pharmaceutical company needing to extract data from a new type of shipping document or a furniture manufacturer facing a system glitch during peak production season, having reliable, round-the-clock customer support can make a significant difference. Cost-effectiveness for Sustainable Growth Finally, the total cost of ownership, including setup, maintenance, and licensing fees, should be weighed against the tool’s benefits and potential return on investment. For example, for a start-up manufacturing company with tight budgets, a tool that offers flexible payment plans without compromising on features might be the ideal choice. By carefully considering these factors, manufacturing companies can select an automated data extraction tool that not only meets their present needs but also supports their vision for future growth and success. Conclusion As the manufacturing industry continues to evolve, so does its reliance on efficient and intelligent data management. As a future that promises even greater integration of AI in manufacturing becomes reality, the adoption of sophisticated tools will undoubtedly be a strategic advantage. To navigate this promising journey towards data-driven manufacturing success, consider exploring LIKE.TG ReportMiner. This automated data extraction tool offers a comprehensive suite of features tailored for the manufacturing sector’s unique needs, designed to help you unlock the full potential of your shipping document data.
EDI Partner Onboarding: Key Steps & Considerations
EDI Partner Onboarding: Key Steps & Considerations
Building strong, efficient, and transparent trading relationships is more critical than ever in the rapidly evolving business landscape. Organizations strive to optimize their operations, improve collaboration, and drive growth in the digital age. However, research by Ovum indicates that 53% of enterprises experience limitations with their current B2B integration solutions when it comes to rapidly onboarding trading partners. Additionally, the study highlights that approximately 40 % of enterprises require over 30 days to onboard a new trading partner, adversely impacting business operations. Electronic Data Interchange (EDI) plays a pivotal role in this dynamic environment. By serving as a digital bridge, EDI revolutionizes partner transactions by enabling secure and standardized document exchange. It simplifies partner onboarding, streamlines communication, and cultivates robust partnerships. This transformative technology is reshaping how organizations conduct their operations by optimizing business processes, reducing errors, and improving overall efficiency. The Rising Importance of EDI in Business Partnerships EDI has become increasingly essential in business partnerships, driven by its ability to revolutionize efficiency, enable real-time global communication, reduce costs, ensure data accuracy, aid compliance, and facilitate partner onboarding. It breaks down geographical barriers, enabling fast and reliable information exchange, empowering businesses to make quicker decisions and respond more effectively to market demands. By reducing manual processes, minimizing errors, and promoting standardized data exchange, EDI builds trust and reliability between partners, ensuring a seamless onboarding experience. Moreover, it helps companies meet regulatory requirements, achieve cost savings, and embrace sustainable practices such as paperless operations and reduced carbon footprint, leading to a more environmentally friendly approach. Integrating EDI systems with existing business applications allows for seamless data integration and synchronization, improving supply chain management, inventory control, and forecasting accuracy. Enable Frictionless B2B Data Exchange With LIKE.TG EDIConnect View Demo Leveraging EDI for Enhanced Partner Relationships Electronic Data Interchange (EDI) is a powerful tool that enables businesses to exchange information with their trading partners in a standardized and automated way. Implementing EDI promotes improved communication between business partners, creating a more collaborative mindset. Let’s look at some key benefits of leveraging EDI for strengthened business relationships: 1) Real-time Data Exchange for Improved Decision Making EDI facilitates real-time data exchange, empowering businesses with live sales, demand, and inventory updates. This enables informed decision-making, agility, and the ability to capitalize on emerging opportunities. In fast-changing industries like fashion or electronics, where swift access to accurate information is crucial, EDI plays a vital role in enabling proactive adaptation and sustaining a competitive edge. For instance, a clothing retailer receives an EDI message from their supplier highlighting a popular shirt style in a specific region. This enables the retailer to instantly adapt inventory and marketing strategies to capitalize on the trend instead of relying on manual reports that take longer to generate and analyze. 2) Enhancing Efficiency through Standardization By shifting from manual processes to EDI, businesses eliminate the risk of errors, miscommunication, and compliance issues. Moreover, EDI enables streamlined decision-making, accelerating the business cycle with standardized data and communication, fostering trust, and cultivating harmonious relationships with partners. For instance, a manufacturer traditionally sends purchase orders to their supplier via fax or email, which can result in errors, for example, incorrect product codes or quantities, leading to production delays. With EDI implementation, standardized purchase orders are sent, reducing errors and expediting the process. 3) Strengthening Trust and Transparency in Business Relationships Establishing solid working relationships with trading partners revolves around trust and transparency. By moving away from manual processes and standardizing communication between partners, EDI strengthens ties between businesses and partners by allowing for consistent, secure, and transparent communication. For instance, a retailer sourcing products from multiple suppliers faces challenges in tracking order status and ensuring timely delivery with manual processes. EDI implementation enables real-time order tracking, providing visibility into the entire supply chain. This allows the retailer to communicate any issues or delays promptly to customers. 4) Enhanced Scalability and Business Growth Opportunities As businesses expand and engage with more trading partners, the complexity of managing transactions and exchanging information can increase. EDI offers a standardized and automated approach that can seamlessly handle larger volumes of transactions and adapt to changing market needs. This enables businesses to quickly respond to new opportunities, expand their network of partners, and enter new markets. For instance, a fashion e-commerce platform can leverage EDI to streamline inventory management and order fulfillment. By automating information exchange with partners, it can handle more orders, track inventory in real-time, and sync product availability across channels. This streamlined approach enables scalable operations, enhances customer satisfaction, and maximizes growth potential in diverse markets. 5) Reduced Transaction Costs Implementing EDI offers trading partners significant cost-saving benefits. By transitioning from paper-based transactions to electronic exchanges, partners can reduce transaction costs associated with printing, postage, and manual data entry. This streamlined approach enables trading partners to allocate resources more efficiently and focus on core business activities, ultimately leading to cost savings and improved profitability. For example, two retailers can reduce costs by implementing EDI, eliminating printing and mailing expenses for purchase orders, invoices, and payment checks. The automation of these processes significantly cuts transaction costs, allowing them to allocate resources to other strategic business areas. Free E-book - The Essential Guide To Streamlining EDI Exchange Simplify EDI Exchange Now! Elevating Business Relationships through Personalization Personalization is a key driver for nurturing business relationships. In today’s era of tailored solutions, partner-to-partner collaboration holds immense importance, as stated by 86% of partners. This emphasizes the significant impact of personalization in the current business landscape. By prioritizing collaborative partnerships and embracing customization in EDI practices, organizations can create unique experiences that deeply resonate with partners, fostering a strong sense of trust, synergy, and shared objectives. Fueled by personalization, inter-partner coordination unlocks new avenues for growth, innovation, and mutual benefit. By recognizing and addressing the unique needs and preferences of each partner, businesses establish themselves as trusted allies and preferred collaborators, enabling them to navigate evolving market dynamics efficiently. EDI Partner Onboarding Process The successful onboarding of new trading partners in an EDI implementation involves a series of essential steps. To ensure a smooth integration, the following six steps are typically followed: 1) Identifying Partner Needs and Requirements The first step is for the organization to identify the new trading partner’s specific EDI requirements and needs. This includes determining their supported file formats, communication protocols, security requirements, and any other critical information. Factors such as industry regulations and the complexity of the partner’s organization are considered to tailor the EDI solutions accordingly. 2) Establishing Communication Channels Once the partner’s requirements are identified, the next step is to establish clear communication channels and protocols. This involves determining the preferred method of communication, such as email, FTP, or AS2, and ensuring that both parties have the necessary infrastructure and software in place to facilitate effortless data exchange. 3) Customizing EDI Solutions for Integration With a solid understanding of the partner’s needs and established communication channels, the organization proceeds to customize the EDI solutions for cohesive integration. This step involves developing EDI maps that define how data elements from the organization’s system will be mapped to the corresponding elements in the partner’s system. Additionally, specialized tools may be utilized for data mapping and translation to ensure accurate interpretation and exchange of data. 4) Agreement and Documentation To formalize the onboarding process, it is crucial for the organization and the trading partner to have a written agreement or contract. This document outlines the responsibilities, obligations, and expectations of both parties. It covers aspects such as data security, service level agreements (SLAs), data ownership, and dispute resolution mechanisms. Proper documentation establishes a clear understanding and serves as a reference point for future interactions. 5) Testing, Troubleshooting, and Training This step involves thoroughly testing and troubleshooting the EDI connection and simulating real-world scenarios to ensure proper functionality. Additionally, training sessions are provided to the trading partner to educate them on using the EDI system effectively and offer technical assistance when needed. 6) Monitoring and Continuous Improvement Once the onboarding process is complete, the organization establishes monitoring mechanisms to track the EDI system’s performance and identify improvement areas. Data flows, error rates, and response times are monitored to ensure smooth operations. Regular communication with the trading partner is maintained, and periodic reviews are conducted to optimize the EDI process. By following these steps, organizations can streamline the onboarding process for new trading partners and establish a robust and efficient EDI system. Conclusion The future of trading partnerships lies in EDI’s continued advancement and adoption. As businesses recognize the value of streamlined collaboration and efficient data exchange, partner onboarding plays a crucial role in establishing strong and productive relationships. In fact, 83% of partners firmly believe that the future success of their businesses is tied to a provider-partner relationship that encourages innovation. With LIKE.TG EDIConnect, businesses can seamlessly integrate new trading partners into the EDI ecosystem, unlocking the untapped potential of their supply chains and driving substantial growth. The smooth flow of information through EDI becomes the backbone of agile decision-making, enabling businesses to capitalize on emerging market trends and stay ahead of the competition. LIKE.TG EDIConnect is the ideal choice for simplifying and enhancing B2B data exchange in the digital era. With its intuitive interface, advanced features, and seamless transaction construction, EDIConnect empowers businesses to achieve accurate and efficient EDI integration. Discover the power of EDI and learn how to simplify B2B data exchange processes. Download our comprehensive eBook today! Experience Effortless Data Exchange With Your Trading Partners Learn More
EDI vs API: Achieving Data Exchange Excellence through a Unified Approach
EDI vs API: Achieving Data Exchange Excellence through a Unified Approach
Data exchange is essential to modern business operations. Whether it’s fostering collaboration across departments, exchanging data with customers, suppliers, and partners, or seamlessly integrating diverse systems, selecting the optimal data exchange strategy is a make-or-break decision. Currently, the “EDI vs API” debate is at its peak, as the two technologies have emerged as prominent methods for facilitating data exchange. While both approaches have unique strengths, a unified approach—harnessing the power of both EDI and APIs— can unlock a new level of data exchange excellence. Understanding EDI EDI is a computer-to-computer exchange of business documents in a standard electronic format. This technology has been around since the 1970s and is commonly used for exchanging purchase orders, invoices, and other business documents in various industries, including supply chain, healthcare, and more. With EDI, documents are sent in a structured format that computers can read more efficiently, which also reduces the risk of errors. Exploring APIs APIs revolutionized software integration and data exchange when they emerged in the 2000s. They allow software systems to interact with each other, enabling real-time data exchange and integration. APIs use REST, SOAP, or GraphQL protocols to facilitate communication, providing flexibility, scalability, and customization options. APIs are well-suited for dynamic data exchange and enable organizations to leverage real-time data for quicker and more informed decision-making. Experience Effortless Data Exchange With Your Trading Partners Learn More The EDI vs API Debate EDI has a deep and established history, and it is widely used in traditional industries, whereas APIs have gained traction recently with the rise of web-based applications and cloud computing. While both EDI and API have a similar end goal, their approaches and features differ significantly. The EDI vs API debate boils down to features like scalability, ease of implementation, and compatibility with modern technologies. EDI vs API: Primary Differences EDI is a technology used to standardize the electronic transfer of business documents, while API is a technology used to integrate different types of software applications. EDI systems use messaging formats like EDIFACT or ANSI X.12, while APIs use specific programming protocols and standards like HTTP/HTTPS, REST, or SOAP architectures. EDI is ideal for transmitting large batches of data in a batch-processing environment, whereas APIs are useful for real-time access and interactive communication between software applications. EDI implementation requires specialized expertise, data mapping, and compliance with industry standards, while APIs are easier to adopt—especially for web-savvy developers—with extensive documentation and resources available. EDI API Definition Computer-to-computer exchange of business documents in a standard electronic format. Enable software systems to interact with each other, facilitating real-time data exchange and integration. Usage Commonly used for exchanging purchase orders, invoices, and other business documents in various industries. Used for dynamic data exchange and integration across industries. Technology Established since the 1970s. Emerged in the 2000s. Format Documents sent in a structured format that computers can read, reducing the risk of errors. Facilitate data exchange and integration in a flexible and customizable manner. Protocols Typically uses proprietary formats or standards like ANSI X12 or EDIFACT. Can utilize REST, SOAP, or GraphQL protocols for communication. Real-time Data Exchange Limited real-time capabilities due to batch processing environment. Enable real-time data retrieval and updates. Scalability Requires additional setup and configuration for scaling. Support scalability and handle increasing data volumes and user demands. Efficiency Highly efficient in document-based exchanges. Enable real-time data exchange and automation, improving efficiency. Security EDI transactions often use secure protocols and encryption methods to protect data during transmission. APIs can incorporate authentication mechanisms, access control, and encryption techniques. Theycanalsoleverage token-based authentication or API keys for secure access. The Power of a Unified Data Exchange Approach Both the API and EDI markets are projected to witness significant growth in the coming years. The global API market is estimated to reach USD 6263.00 million by 2028, driven by the increasing adoption of cloud-based applications, digital transformation initiatives, and the demand for seamless integration among diverse systems. Similarly, the global EDI market size is projected to reach around USD 4.52 billion by 2030, with an impressive compound annual growth rate (CAGR) of 12.5%. These projections are reflective of API and EDI technologies’ growing importance and relevance in the data exchange landscape. Businesses are becoming increasingly aware of the benefits of combining the two approaches to achieve a unified data exchange experience. This unified approach can enable businesses to benefit from the scalability and flexibility of APIs while also taking advantage of the security and reliability of EDI. By combining the strengths of EDI and APIs, organizations can achieve real-time visibility, operational agility, and improved customer experiences. For example, EDI-to-API and API-to-EDI connections enable organizations to bridge the gap between legacy systems and modern applications, ensuring smooth data exchange across different platforms and business partners. Here are some more advantages of adopting a hybrid data exchange strategy: Improved Data Accuracy and Consistency One of the most significant benefits of a unified data exchange strategy is more accurate and consistent data. Businesses can ensure that all data transactions, whether they be real-time or batch, are subject to the same validations and checks. This helps to reduce data entry errors and ensures that the data is accurate and consistent across all systems. For example, in the case of a retail business that operates both online and in-store, a unified data exchange approach can ensure that customer data, such as contact information and purchase history, remains consistent and accurate across their CRM system and e-commerce platform. This consistency improves customer service and reduces the likelihood of errors. Enhanced Integration and Automation Another benefit of a unified data exchange approach is enhanced integration and automation. By adopting a standardized approach to data exchange, businesses can facilitate seamless integration between different software applications. This provides opportunities for automatic data entry and improved workflows, saving valuable time and resources while reducing the likelihood of data entry errors. For example, in a manufacturing business that utilizes separate systems for inventory management and order fulfillment, a unified data exchange approach can automate the process of transferring inventory levels and order information between the systems. This automation improves efficiency, reduces manual effort, and minimizes errors. Scalability and Flexibility A unified data exchange environment promotes scalability and flexibility. Businesses can quickly respond to changes in their operational needs, rapidly switch between various communication modes, and seamlessly integrate new systems without major interruptions. For example, in the case of a growing e-commerce business, a unified data exchange approach allows for seamless integration of new sales channels (such as marketplaces or social media platforms) with existing systems. This scalability and flexibility support the business’s expansion efforts and ensure smooth operations. Cost Savings and Efficiency Unifying data exchange technologies can help businesses reduce costs and improve efficiency. By streamlining data exchange processes, businesses can save valuable time and resources. For instance, a unified data exchange approach can reduce the time and resources required to manage patient data in a healthcare organization that relies on multiple systems for patient management and billing. This streamlining improves efficiency, reduces administrative costs, and minimizes the risk of errors. Implementing a Unified Data Exchange Strategy In the EDI vs. API debate, why not choose both? Embracing a unified data exchange strategy is not only a technological choice but also a strategic move toward achieving data excellence. Adopting a unified data management solution is the key to achieving seamless data exchange. By implementing a unified end-to-end data management solution, businesses can break down data silos, streamline processes, and enable the smooth flow of information throughout the organization. With LIKE.TG’s Data Stack, organizations can seamlessly manage their end-to-end API lifecycle, simplifying data access and ensuring smooth integration. Investing in a separate solution to support API-based transactions is unnecessary. LIKE.TG’s high-performance EDI engine automates B2B exchange, simplifying electronic data interchange and enabling easy electronic data exchange. Moreover, LIKE.TG’s powerful ETL/ELT engine and automation capabilities allow organizations to integrate, transform, and migrate data from a wide range of sources, unifying enterprise data and ensuring it’s accessible and reliable. Whether it’s data trapped in unstructured sources, legacy systems, disparate databases, or cloud sources, LIKE.TG’s solution empowers businesses to connect and harness the full potential of their data. Organizations can achieve data exchange excellence by choosing LIKE.TG for today’s EDI needs and confidently driving their business forward. Learn more here or get in touch to see how LIKE.TG can help. Achieve Data Exchange Excellence through a Unified Approach Learn More
EDI Payments: All You Need To Know – EDI vs. EFT vs. ACH
EDI Payments: All You Need To Know – EDI vs. EFT vs. ACH
EDI Payments are crucial in facilitating secure and efficient financial transactions between businesses. From automating the exchange of payment instructions to streamlining communication, EDI has become an essential component in the exchange of financial information, shaping the landscape of digital payments in the modern era. What are EDI Payments? EDI payments refer to the electronic exchange of financial transactions between businesses. This transaction involves securely transmitting payment-related information such as invoices, purchase orders, and remittance advice in a standardized and structured format. Through EDI, businesses can streamline the exchange of financial payments with automated and streamlined electronic transactions. This streamlined process eliminates the need for manual input of payment data, reducing errors and improving overall efficiency. The global digital payment market has witnessed an expansion. Valued at USD 3.53 trillion in 2018, it is expected to reach USD 19.89 trillion by 2026, according to research by Fortune Business Insights, showcasing an impressive compound annual growth rate of 24.4%. This surge in growth highlights the increasing preference for secure, convenient, and efficient financial transactions. Learn more about EDI and how it works. Manual vs. EDI Payment Process EDI payments are like upgrading from a horse-drawn carriage to a sports car. They are faster, more efficient, and more secure, leaving manual processes behind. Manual payment processes require significant time and effort, involving physical paperwork, manual data entry, and risk of human error. Employees must spend valuable time printing and sorting through stacks of invoices, manually inputting payment details into accounting systems and cross-referencing data to ensure accuracy. The manual nature of these processes also opens up opportunities for more mistakes, such as transposing numbers or misplacing invoices, which can lead to delayed payments and strained relationships with vendors. In contrast, EDI automates the entire payment process, significantly reducing the margin for errors and accelerating payment processing times. With EDI, payment information is electronically transmitted between systems, eliminating the need for manual data entry. This not only saves time, but it also minimizes the risk of human error. The streamlined nature of EDI payments enables businesses to process payments more efficiently, ensuring that vendors are paid on time and that cash flow remains healthy. Experience Secure and Automated Payments with EDI View Demo Types of EDI Payments When it comes to EDI payments, several types cater to different needs and preferences. Some common types of EDI payments are: Direct Payments/Point-to-Point: This type involves directly transferring funds between trading partners using EDI. It allows for seamless and secure transactions without intermediary systems or additional payment platforms. Large enterprises with many daily transactions prefer this method. Web EDI:These payments are carried out over a web browser. Users typically fill out an online form that is converted into an EDI format. This method is suitable for small-to-medium-sized businesses with infrequent electronic transactions. Mobile Payments: Mobile payments have gained popularity with the widespread use of smartphones. Users can make payments directly from their mobile devices through mobile apps or payment platforms. VAN: Value Added Networks are secure, private connections used for exchanging EDI documents. They act as a middleman – after receiving EDI forms, they decode and validate them before sending them to the recipient. EDI vs. ACH vs. EFT Some people often get confused between these three terms. The simplest difference between them is that EDI is a data exchange format and not a payment type. Both ACH and EFT are digital payment methods. This means that ACH and EFT payments, or any other electronic payment, can include data in an EDI format. ACH – Automated Clearing House ACH payments are payments made through the ACH Network in the United States. This is a popular digital method used to transfer money between bank accounts. However, ACH is often confused with electronic funds transfer and wire transfer. While EFT is a general term for electronic transfers and can be used to describe ACH payments, wire transfers are totally different. Where ACH transfers are administered by the National Automated Clearing House Association (NACHA), wire transfers are carried out through the Federal Reserve. Wire transfers are also processed quickly – ACH payments can take days. The flipside is that WTs include a processing fee, while ACH payments are mostly free. EFT – Electronic Funds Transfer EFTs cover many digital payment methods, including: ACH. Wire transfers. ATMs. Debit cards. Any other payments made electronically. Benefits of EDI Payments in Business Here are some key advantages of using EDI in business: Streamlined Transactions: EDI automates the exchange of financial data between businesses, eliminating the need for manual processing and paperwork. This streamlined approach enables faster and more efficient transactions, saving time and effort for both parties involved. Enhanced Efficiency: With EDI payments, the electronic exchange of data allows for accelerated invoice processing, payment confirmations, and reconciliation. This efficiency improves cash flow management by reducing delays and expediting the order-to-cash cycle. Businesses can access and process payments more quickly, enhancing overall operational efficiency. Increased Accuracy: EDI minimizes the risk of human error that can occur during manual data entry and processing. The automated exchange of data ensures accuracy and consistency in financial transactions, reducing the likelihood of payment disputes, chargebacks, and payment discrepancies. Improved Security: EDI prioritizes data security through robust encryption and security protocols. This ensures the secure transmission of financial information between trading partners, safeguarding sensitive data from unauthorized access or breaches. The enhanced security measures provide businesses with peace of mind by mitigating potential risks. Stronger Business Relationships: By streamlining payment processes and enabling accurate data exchange, EDI payments foster trust and strengthen relationships with trading partners. The reliability, speed, and accuracy of EDI transactions contribute to smoother collaborations and improved communication, which enhances overall business relationships. Enhanced Visibility: EDI payments provide businesses with improved visibility into incoming payments, enabling more accurate cash flow management. With a clear understanding of when payments will be received, businesses can better plan their accounts receivable, ensuring sufficient funds to cover expenses and investments. Cost Savings and Efficient Resource Allocation: By adopting EDI, businesses can eliminate paper-based processes and manual data entry, resulting in significant cost savings. The automation of payment processing reduces resource requirements and allows for more efficient allocation of resources, enabling investments in growth and innovation. Long-Term Benefits through Data Analysis: Ongoing utilization of EDI payments allows businesses to gather valuable data and insights on payment patterns and customer behavior. By analyzing this data, businesses can optimize cash flow management strategies, identify growth opportunities, and enhance overall financial performance. How Digital Transactions are Shaping the Future of Business As technology advances, so do the possibilities for enhancing business operations. EDI payments are at the forefront of this digital revolution, revolutionizing how businesses transact and manage their finances. With the increasing global connectivity and emphasis on efficiency, EDI payments enable businesses to operate seamlessly on a global scale. By removing geographical limitations and facilitating secure electronic transactions, businesses can easily expand their customer base and engage in international trade. Furthermore, EDI paves the way for future innovations like real-time payment processing and integrated financial ecosystems. As businesses embrace the power of EDI, they will be better equipped to adapt to evolving customer demands and stay ahead in the competitive marketplace. In conclusion, EDI payments are a technological advancement and a game-changer for businesses looking to boost efficiency and cash flow. By embracing the benefits of EDI payments, companies can streamline their payment processes, reduce errors, and gain a competitive edge in today’s digital landscape. So, why wait? Start exploring the world of EDI payments today. Learn more about how LIKE.TG can help. Start using EDI payments and boost your financial processes View Demo
EDI File Communication Methods: VAN, AS2, FTP, and Direct Connection
EDI File Communication Methods: VAN, AS2, FTP, and Direct Connection
EDI file communication methods have emerged as a cornerstone of modern business operations, enabling trading partners to efficiently exchange documents like purchase orders, invoices, and shipping notices. By embracing various communication methods, from traditional Value-Added Networks (VANs) to contemporary options like AS2, FTP, and Direct Connection, organizations can leverage the benefits of EDI while considering each method’s unique advantages and considerations. Exploring Different EDI File Communication Methods When it comes to EDI, several communication methods are available that facilitate the exchange of vital business documents between trading partners. These methods each offer distinct features and advantages, allowing organizations to select the most suitable option for their specific needs. Let’s explore some of the commonly used EDI communication methods: Value-Added Network (VAN) One popular EDI communication method is a Value-Added Network (VAN), which acts as a secure intermediary between trading partners. The VAN operates on a many-to-many architecture, connecting multiple suppliers, retailers, carriers, banks, and other stakeholders to a public platform hosted by the EDI supplier. A VAN provides a reliable and efficient communication channel, taking care of exchanging EDI documents, monitoring traffic, and managing data integrity. By leveraging a VAN, businesses can ensure efficient and secure data transmission without the need for complex infrastructure. Moreover, VANs offer additional value-added services like data translation, format validation, and message tracking, simplifying the EDI process as a whole. They also provide a centralized platform for managing trading partner relationships, enabling businesses to easily onboard new partners and streamline communication. Pros: Simplified Trading Partner Management: VANs provide a managed solution for onboarding and managing trading partners. They act as a central hub, enabling businesses to establish connections with multiple partners through a single interface. This streamlines the process of exchanging EDI documents and reduces the complexity of managing individual partner connections. Extensive Trading Partner Network: VANs have an established network of trading partners, making it easier for businesses to connect with a wide range of companies. This eliminates the need for businesses to individually establish and maintain connections with each trading partner, saving both time and effort. Enhanced Security: VANs prioritize data security by implementing robust measures such as encryption and digital signatures. These security features protect the integrity and confidentiality of the exchanged EDI documents, ensuring that sensitive business information remains secure during transmission. Cons: Additional Costs: Utilizing a VAN involves certain costs (such as recurring fees) based on usage and the number of trading partners. These expenses can vary depending on the volume of data exchanged and the complexity of the trading partner network. It is important for businesses to consider these costs when evaluating the overall value of using a VAN. Dependency on a Third-Party: Businesses must entrust their EDI communication to a third-party service provider when relying on a VAN. This introduces a level of dependency, which brings about potential risks associated with relying on an external entity for critical business processes. Choosing a reputable VAN provider with a strong track record in terms of reliability and security is crucial. Applicability Statement 2 (AS2) AS2 is another widely used EDI file communication method that enables direct online communication between trading partners. It utilizes digital certificates and encryption technology to ensure the confidentiality and integrity of data during transmission. AS2 offers real-time communication, making it suitable for time-sensitive transactions. Additionally, it supports non-repudiation, meaning that both parties can be confident that the data originated from the listed source. AS2 leverages the HTTP or HTTPS protocol for communication, which is compatible with existing internet infrastructure. It also provides message integrity checks and verification receipts, ensuring that data is not tampered with during transmission. Pros: Direct and Real-Time Communication: AS2 enables direct online communication between trading partners, allowing for real-time data exchange. This is particularly beneficial for time-sensitive transactions, such as order fulfillment or inventory management. Robust Security Features: AS2 employs encryption and digital signatures to ensure the transmitted data’s confidentiality, integrity, and authenticity. It provides a secure channel for document exchange, protecting sensitive business information from unauthorized access and tampering. Elimination of Third-Party Intermediaries: AS2 eliminates the need for a Value-Added Network (VAN) or other intermediaries, reducing costs and streamlining communication. Direct point-to-point connectivity fosters a more efficient and streamlined exchange of documents between trading partners. Cons: Technical Expertise and Resource Requirements: Implementing and managing AS2 requires technical expertise and resources. Organizations must have the necessary IT infrastructure including hardware, software, and personnel to effectively set up and maintain AS2 connections. Initial Investment: There may be an initial investment in hardware, software, and network infrastructure to establish AS2 capabilities within an organization. This cost should be considered when evaluating the feasibility of implementing AS2. File Transfer Protocol (FTP) FTP is a standard network protocol used for transferring files over the internet. Although not specifically designed for EDI, many businesses leverage FTP for EDI file communication due to its simplicity and cost-effectiveness. FTP allows for exchanging EDI documents between trading partners, but it lacks inherent security features such as encryption and message integrity checks. Pros: Cost-effective: FTP is a widely available protocol that often comes at a lower cost than specialized EDI communication methods. Easy implementation and usage: FTP is relatively simple to set up and use, making it accessible to businesses without complex technical requirements. Cons: Limited security features: One of the main drawbacks of FTP for EDI communication is the lack of inherent security features. FTP does not provide encryption or message integrity checks by default, which can pose a risk when transmitting sensitive data. Scalability and maintenance: FTP may have limitations in terms of scalability, especially for large volumes of data. Additionally, ongoing maintenance and management of FTP servers may require additional resources and expertise. Direct Connection Direct connection refers to a direct link established between trading partners without intermediaries. It offers high control and flexibility, as both parties have complete ownership over the communication process. Direct connection can be established using various protocols, such as AS2 or secure VPN (Virtual Private Network) connections. It is particularly suitable for businesses that require extensive customization or specific security requirements. Pros: Enhanced Security: With a direct connection, businesses have complete control over the security measures implemented for data transmission. They can establish robust encryption protocols, strict access controls, and other security measures tailored to their specific requirements. This ensures the confidentiality and integrity of sensitive business documents. Greater Flexibility: Direct connection allows businesses to have more flexibility in managing their trading partner relationships. They can establish direct connections with specific partners, enabling efficient and streamlined communication. This flexibility is particularly beneficial for organizations that have complex or customized requirements. Cons: Technical Expertise and Resources: Setting up and maintaining a direct connection requires technical expertise and resources. Businesses must invest in hardware, software, and network infrastructure to effectively establish and manage the connection. This may require dedicated IT staff or the assistance of external experts. Initial Investment: Direct connection may involve an initial investment in terms of hardware, software, and infrastructure setup. This cost should be evaluated against the potential benefits and long-term savings that can be achieved through a direct and secure EDI communication channel. Choosing the Right EDI File Communication Method When it comes to choosing the right EDI communication method for your business, several factors need to be considered. These factors include: Technical Capabilities: Assess the organization’s IT infrastructure and technical expertise. Methods like AS2 or direct connection require more technical resources, while VAN or FTP are simpler options. Level of Security: Determine the security requirements based on the data exchange sensitivity. VAN and AS2 offer strong security features, while FTP lacks any inherent security. Direct connection provides control but requires additional measures. Complexity of Trading Partner Network: A managed solution like VAN simplifies onboarding and management if a large and diverse network exists. AS2 or direct connection offer control for smaller, defined networks. Cost Implications: Evaluate the costs involved. VAN entails recurring fees, AS2 and direct connection require initial investments but offer long-term savings, and FTP is generally the most cost-effective option. Scalability and Ongoing Maintenance: Consider future growth and changes in the trading partner network. VAN and managed solutions handle scalability and maintenance well. AS2 and direct connection offer good scalability but require additional resources. FTP may have limitations and maintenance needs. Conclusion Advancements in technology are revolutionizing EDI communication, making it more accessible and efficient than ever before. Web-based portals, mobile applications, and API integrations enable seamless data exchange between trading partners, regardless of their locations or system capabilities. As technology continues to evolve, further enhancements in data security, real-time tracking, and analytics are expected, which will only broaden the horizons of what EDI can accomplish. EDI communication methods – VAN, AS2, FTP, and Direct Connection – provide businesses with efficient and secure means to exchange electronic documents with their trading partners. Each method has its strengths and weaknesses, and the choice depends on each organization’s needs. By understanding the available options and evaluating business needs, organizations can make informed decisions that ensure seamless and streamlined EDI communication. Embrace the power of EDI communication and advance into the digital era! Learn more about how LIKE.TG can help. Enable Frictionless B2B Data Exchange With LIKE.TG EDIConnect View Demo
What is EDI Compliance? Benefits and Industry-Specific Requirements
What is EDI Compliance? Benefits and Industry-Specific Requirements
In an era marked by rapid digital transformation and growing interconnectivity, businesses are recognizing the critical role of efficient, secure data exchange. Electronic Data Interchange (EDI) has emerged as a solution, enabling quick and accurate electronic data transfers. The current business environment—shaped by an increase in remote work, complex global supply chains, and increased data volumes—demands efficient digital tools. Moreover, stringent data protection regulations underline the importance of secure data transfers. In this context, EDI stands out not just as an operational tool, but as a strategic asset for businesses navigating the digital economy. This growing reliance and the evolving nature of data transfer mechanisms mark an exciting future for EDI—a future defined by new trends, compliance requirements, and innovations that businesses must grasp to remain competitive and efficient. Understanding EDI Compliance Electronic Data Interchange (EDI) compliance is a standard that, when met, means that the data exchanged between businesses adheres to a set of rules agreed upon by both parties. EDI standards are universal formats for data that enable different companies with different systems to communicate effectively. Each standard is like a unique language, comprising a set of transaction sets or documents used in business. Some commonly used standards include the American National Standards Institute (ANSI) X12, the United Nations EDIFACT, and the TRADACOMS standard used in the UK retail sector. EDI compliance implies that your business has the capability to receive, translate, and process transaction sets according to the specified standard. For instance, when a retail business sends an EDI document like a Purchase Order (PO), it needs to be formatted in a way that the supplier’s EDI system can understand and process, which will then allow it to generate an appropriate response, such as a PO acknowledgment. However, EDI compliance goes beyond just the correct formatting of EDI documents. It also includes factors like: Timeliness of Response: EDI compliance is not just about exchanging data but doing so in a timely manner. If responses to EDI transmissions are late, it can disrupt the whole supply chain, impacting operations and potentially leading to financial losses. Agreed-Upon Methods of Transmission: Different companies may agree on specific methods for EDI data transmission, such as FTP, AS2, or via a Value-Added Network (VAN). Using a different method than agreed upon can lead to data not being properly received or processed, causing communication breakdowns. Technology Used in the Process: The technology used for EDI must be up-to-date and capable of handling the specified EDI standards. If outdated or incompatible technology is used, it may not correctly interpret or secure the data, leading to potential errors and security risks. Non-compliance with any of these factors could result in transaction errors, communication mishaps, or in some cases, chargebacks or financial penalties. The Importance of EDI Compliance EDI compliance is vital in maintaining seamless, efficient, and accurate business communication and transactions. It serves as a common language enabling businesses to interact and exchange important transactional data, regardless of their internal data systems or formats. Adherence to EDI standards ensures compatibility and interoperability among various trading partners. Here are some more reasons why EDI compliance is crucial: Enhances Operational Efficiency: EDI compliance helps to streamline and automate routine transactions such as purchase orders, invoices, shipping notices, and other standard business documents. This cuts down on manual data entry, reduces paperwork, and expedites processing times, significantly increasing operational efficiency. On the other hand, non-compliance can lead to inefficiencies and disruptions in your operations. For example, errors in an EDI 850 (Purchase Order) could lead to incorrect orders being shipped, requiring pesky returns, replacements, and all the associated costs and time delays. In extreme cases, continual non-compliance could cause interruptions to the rest of the supply chain. Strengthens Business Relationships: Businesses that are EDI compliant are often seen as more reliable and efficient by their trading partners. Compliance shows a commitment to using standardized processes and technologies, fostering trust and credibility in business relationships. On the other hand, consistent non-compliance can strain your relationships with trading partners. If a business continually fails to adhere to a partner’s EDI standards, the partner might consider it a sign of unreliability, which could jeopardize the relationship. They might choose to do business with another company that has a better track record of EDI compliance. Saves Money: By streamlining operations and increasing data accuracy, EDI compliance indirectly helps to reduce costs related to manual data entry, error correction, and dispute resolution. Also, many large corporations enforce financial penalties or “chargebacks” for failing to comply with their EDI standards. For instance, a late or missing EDI 856 (Advanced Ship Notice) could result in a retailer being unable to prepare for a shipment’s arrival, which could lead to disruption in their operations and, subsequently, a penalty for the vendor. Ensuring compliance can help avoid these unnecessary expenses. Improves Data Accuracy: By eliminating manual intervention in data exchange, EDI compliance reduces the likelihood of human errors such as typos or misinterpretation of information. With automated data entry and processing, the integrity of the information is better upheld, leading to more accurate transactions. Provides Competitive Advantage: Being EDI compliant can give a business an edge over its competitors. Especially when dealing with large corporations or government entities, the ability to comply with strict EDI requirements can be a determining factor in securing business contracts. Fosters Scalability: As businesses grow and start dealing with more partners, the volume of transactions increases. EDI compliance allows a business to handle this increased volume with ease, enabling it to scale its operations without significant increases in administrative costs. While EDI compliance offers numerous benefits, it does not come without its challenges. Different industries often have different EDI standards or usage guidelines, adding a layer of complexity to compliance efforts. Navigating Industry-Specific EDI Compliance Requirements EDI has become a staple in many industries, and while the basic idea remains the same across all sectors, different industries have developed unique standards and transaction sets to suit their specific needs. Understanding and adhering to these industry-specific requirements is crucial for ensuring successful and efficient EDI communications. Here are a few examples: Retail Industry The retail sector often requires an extensive set of EDI transactions due to the complexity and volume of their operations. Key documents include the EDI 850 (Purchase Order), EDI 856 (Advanced Ship Notice), and EDI 810 (Invoice). Major retailers, such as Walmart and Amazon, have specific EDI guidelines that vendors must adhere to, with non-compliance often leading to chargebacks. For example, an EDI 856 (ASN) must be sent in a timely manner detailing what’s been shipped, or a vendor might face a penalty. Healthcare Industry In healthcare, EDI compliance is not just about operational efficiency but also about patient privacy and safety. The Health Insurance Portability and Accountability Act (HIPAA) mandates the use of specific EDI standards for health information. Key transactions include the EDI 837 (Health Care Claim), EDI 835 (Health Care Claim Payment/Remittance Advice), and EDI 270/271 (Eligibility, Coverage, or Benefit Inquiry and Response). Non-compliance can result in penalties, including hefty fines and potential legal repercussions. Transportation and Logistics This industry relies heavily on EDI for transmitting shipping instructions, invoices, freight details, and other critical data. Key EDI transactions include the EDI 204 (Motor Carrier Load Tender), EDI 210 (Motor Carrier Freight Details and Invoice), and EDI 214 (Transportation Carrier Shipment Status Message). Timely and accurate transmission of these documents is crucial to keep the supply chain moving smoothly. Manufacturing Industry Manufacturers often use EDI to manage their supply chains, order materials, and communicate with partners. They often use the EDI 830 (Planning Schedule with Release Capability) for material planning, EDI 862 (Shipping Schedule) for managing shipments, and EDI 824 (Application Advice) for providing a response to a received transaction. Conclusion EDI compliance is no longer just a requirement for doing business—it’s a strategic tool that, when leveraged correctly, can significantly enhance operational efficiency, improve business relationships, and offer a competitive advantage. While EDI compliance may seem complex due to its technical nature and industry-specific requirements, businesses can easily navigate this landscape with the right approach and tools. This includes having a clear understanding of their industry’s unique EDI requirements, implementing best practices for ensuring EDI compliance, and leveraging the expertise of a reliable EDI provider. LIKE.TG Software simplifies your path to EDI compliance with EDIConnect. Providing an all-in-one solution that boasts both superior EDI features and ETL capabilities, EDIConnect empowers businesses to harness the power of EDI with ease. Book your personalized demo today and discover the transformative impact of EDIConnect View Demo
Optimizing Supply Chains with EDI
Optimizing Supply Chains with EDI
In our globalized economy, companies must effectively manage the trade of goods and services from suppliers to customers to remain competitive. This includes tasks like inventory management, order processing, and transportation. But how can companies optimize their supply chain to improve efficiency, reduce costs, and boost consumer satisfaction? One solution is EDI integration. EDI, or Electronic Data Interchange, plays a vital role in optimizing supply chain management by automating these activities and providing real-time visibility into the supply chain. Furthermore, implementing EDI transactions can yield significant financial benefits, with studies indicating that switching to EDI can reduce transaction costs by at least 35%. How EDI Can Optimize the Supply Chain Procurement Implementing EDI in the supply chain enables the automation of the entire procurement process. It facilitates seamless communication between buyers and suppliers by electronically exchanging purchase orders, invoices, and other relevant documents. This automation improves efficiency by reducing manual data entry errors and eliminates the need for paper-based processes. EDI integration allows for real-time tracking of shipments, ensuring timely delivery of orders. Overall, these benefits help to improve efficiency, reduce costs, and enhance the accuracy of the procurement process. Manufacturing EDI integration can greatly impact the manufacturing process by automating critical tasks such as sending production orders and tracking inventory levels. By electronically transmitting production orders, manufacturers can efficiently initiate and manage the production cycle. This eliminates the need for manual order processing, reduces lead times, and improves production scheduling accuracy. Integrating EDI with inventory management systems also allows real-time tracking of inventory levels, enabling timely replenishment and minimizing stockouts. By leveraging EDI in manufacturing, businesses can improve efficiency, reduce costs, and keep production on schedule. Distribution EDI integration in the supply chain offers significant advantages in the distribution phase. Through EDI, businesses can automate various distribution processes, like shipping products and tracking deliveries. By electronically exchanging shipment information with carriers and logistics partners, companies can achieve better visibility and control over their distribution operations. Real-time tracking of deliveries ensures that products reach customers on time, reducing delays and improving customer satisfaction. Furthermore, EDI integration in distribution helps streamline the order fulfillment process, minimizes errors, and reduces costs associated with manual data entry and paper-based documentation. Optimize Your Logistics Our Electronic Data Interchange Solution Explrore Now Additional Benefits of EDI for Supply Chain Management Improved efficiency: EDI integration can significantly improve the efficiency of supply chain management by automating various tasks, such as order processing and inventory management. This automation reduces manual effort, minimizes processing time, and enhances overall productivity. Order processing: Instead of manually entering order details, EDI allows for the seamless electronic exchange of orders between trading partners. This automation eliminates errors and delays associated with manual data entry, leading to faster order processing and improved efficiency. Inventory management: With EDI integration, real-time inventory updates can be exchanged electronically between suppliers and retailers. This enables better inventory visibility, accurate demand forecasting, and improved coordination, resulting in optimized stock levels and reduced holding costs. Reduced costs: EDI integration helps reduce costs associated with supply chain management by eliminating the need for manual data entry, paper-based transactions, and associated errors. These cost reductions also lead to improved accuracy and efficiency. Data entry: Manual data entry is time-consuming and prone to errors. By automating data exchange through EDI, businesses can eliminate the need for manual entry, reducing labor costs and minimizing data-related errors. Paper-based transactions: Paper-based transactions require printing, postage, and physical storage. By replacing these with electronic transactions facilitated by EDI, companies can save costs associated with paper, printing, mailing, and storage space. Improved accuracy: EDI integration enhances the accuracy of supply chain management by reducing the risk of errors caused by manual data entry, leading to increased customer satisfaction and reduced costs. Manual data entry errors: EDI completely eliminates manual entry errors by enabling the direct transfer of data between systems, ensuring accurate and consistent information across the supply chain. Invoice reconciliation: EDI enables automated matching of invoices with corresponding purchase orders and shipment notices. This reconciliation process helps identify discrepancies early, minimizing payment errors and disputes. Improved visibility: EDI integration enhances supply chain visibility by providing real-time information on inventory levels, shipments, and orders. This visibility improves decision-making and helps prevent stockouts. Shipment tracking: Through EDI, businesses can receive real-time updates on the status of shipments, including estimated arrival times, potential delays, and proof of delivery. This information allows for proactive management and effective communication with customers. Inventory visibility: By exchanging inventory data electronically, companies gain accurate and up-to-date visibility into stock levels, enabling better demand planning and reducing the risk of stockouts or overstocking. Enhanced collaboration: EDI integration facilitates enhanced collaboration with suppliers and partners by providing a common platform for exchanging data. This improves communication and efficiency. Supplier coordination: EDI allows for seamless sharing of production forecasts, inventory levels, and delivery schedules between manufacturers and suppliers. This shared information enables suppliers to align their production and delivery schedules accordingly, improving overall supply chain coordination. Partner connectivity: By integrating EDI with logistics service providers, businesses can achieve seamless data exchange for transportation management, such as tracking, routing, and delivery confirmation. This collaboration helps optimize logistics operations and improve customer service. How to Implement EDI for Supply Chain Management The steps involved in implementing EDI in supply chain can vary depending on the specific needs of the business. Some common steps include: Plan: The first step is to develop a plan for EDI integration. This plan should include the following: Goals: Clearly define the objectives and benefits you aim to achieve by integrating EDI. Scope: Identify the specific systems and processes that will be integrated through EDI. Resources: Determine the necessary human resources, time allocation, and financial investment required for a successful integration. Timeline: Set a realistic target date for completing the EDI integration, providing a clear timeframe for efficient management of supply chains and alignment among stakeholders. Technical Security: Identify the data security requirements to ensure secure B2B data exchange. Select a Partner: If you choose to partner with an EDI service provider, it is important to select the right partner with the necessary experience, expertise, and resources to help you implement EDI integration successfully. Configure the System: Once you have selected a partner, you will need to configure the EDI system. This process will involve setting up the system to communicate with your trading partners and to exchange data in the correct format. Test: Once the system is configured, you will need to test it to ensure that it is working properly. This testing should include a test with your trading partners to ensure that they are able to exchange data with you. Train: Once the system is tested, you will need to train your employees to use it. This training should include instruction on how to enter data into the system, how to view data from the system, and how to troubleshoot problems with the system. Final Word Integrating EDI into the supply chain management process is a strategic imperative for businesses seeking operational excellence, cost savings, and customer satisfaction. By automating critical tasks, improving efficiency, reducing errors, and providing real-time visibility, EDI integration optimizes procurement, manufacturing, and distribution processes. Embracing EDI integration positions companies at the forefront of supply chain optimization, enabling them to thrive in the dynamic and competitive global economy. See How LIKE.TG EDIConnect Helps Exchange Data Faster with Your Trade Partners View Demo
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					10 Benefits That Explain the Importance of CRM in Banking
10 Benefits That Explain the Importance of CRM in Banking
The banking industry is undergoing a digital transformation, and customer relationship management (CRM) systems are at the forefront of this change. By providing a centralised platform for customer data, interactions, and analytics, CRMs empower banks to deliver personalised and efficient services, fostering customer loyalty and driving business growth. We’ll look closer at the significance of CRM in banking, exploring its numerous benefits, addressing challenges in adoption, and highlighting future trends and innovations. Additionally, we present a compelling case study showcasing a successful CRM implementation in the banking sector. 10 Questions to Ask When Choosing a CRM in Banking When selecting a top CRM platform for your banking institution, it is necessary to carefully evaluate potential solutions to ensure they align with your specific requirements and objectives. Here are 10 key questions to ask during the selection process: 1. Does the CRM integrate with your existing, financial and banking organisation and systems? A seamless integration between your CRM and existing banking systems is essential to avoid data silos and ensure a holistic view of customer interactions. Look for a CRM that can easily integrate with your core banking system, payment platforms, and other relevant applications. 2. Can the CRM provide a 360-degree view of your customers? A CRM should offer a unified platform that consolidates customer data from various touchpoints, including online banking, mobile banking, branches, and contact centres. This enables bank representatives to access a complete customer profile, including account information, transaction history, and past interactions, resulting in more personalised and efficient customer service. 3. Does the CRM offer robust reporting and analytics capabilities? Leverage the power of data by selecting a CRM that provides robust reporting and analytics capabilities. This will allow you to analyse customer behaviour, identify trends, and gain actionable insights into customer needs and preferences. Look for a CRM that offers customisable reports, dashboards, and data visualisation tools to empower your bank with data-driven decision-making. 4. Is the CRM user-friendly and easy to implement? A user-friendly interface is essential for ensuring that your bank’s employees can effectively utilise the CRM. Consider the technical expertise of your team and opt for a CRM with an intuitive design, clear navigation, and minimal training requirements. Additionally, evaluate the implementation process to ensure it can be completed within your desired timeframe and budget. What is a CRM in the Banking Industry? Customer relationship management (CRM) is a crucial technology for banks to optimise customer service, improve operational efficiency, and drive business growth. A CRM system acts as a centralised platform that empowers banks to manage customer interactions, track customer information, and analyse customer data. By leveraging CRM capabilities, banks can also gain deeper insights and a larger understanding of their customers’ needs, preferences, and behaviours, enabling them to deliver personalised and exceptional banking experiences. CRM in banking fosters stronger customer relationships by facilitating personalised interactions. With a CRM system, banks can capture and store customer data, including personal information, transaction history, and communication preferences. This data enables bank representatives to have informed conversations with customers, addressing their specific needs and providing tailored financial solutions. Personalised interactions enhance customer satisfaction, loyalty, and overall banking experience. CRM enhances operational efficiency and productivity within banks. By automating routine tasks such as data entry, customer service ticketing, and report generation, banking CRM software streamlines workflows and reduces manual labour. This automation allows bank employees to focus on higher-value activities, such as customer engagement and financial advisory services. Furthermore, CRM provides real-time access to customer information, enabling employees to quickly retrieve and update customer data, thereby enhancing operational efficiency. Additionally, CRM empowers banks to analyse customer data and derive valuable insights. With robust reporting and analytics capabilities, banks can identify customer segments, analyse customer behaviour, and measure campaign effectiveness. This data-driven approach enables banks to make informed decisions, optimise marketing strategies, and develop targeted products and services that cater to specific customer needs. CRM also plays a vital role in risk management and compliance within the banking industry. By integrating customer data with regulatory requirements, banks can effectively monitor transactions, detect suspicious activities, and mitigate fraud risks. This ensures compliance with industry regulations and safeguards customer information. In summary, CRM is a transformative technology that revolutionises banking operations. By fostering personalised customer experiences and interactions, enhancing operational efficiency, enabling data-driven decision-making, and ensuring risk management, CRM empowers banks to deliver superior customer service, drive business growth, and maintain a competitive edge. The 10 Business Benefits of Using a Banking CRM 1. Streamlined Customer Interactions: CRMs enable banks to centralise customer data, providing a holistic view of each customer’s interactions with the bank. This allows for streamlined and personalised customer service, improving customer satisfaction and reducing the time and effort required to resolve customer queries. 2. Enhanced Data Management and Analytics: CRMs provide powerful data management capabilities, enabling banks to collect, store, and analyse customer data from various sources. This data can be leveraged to gain valuable insights into customer behaviour, preferences, and buying patterns. Banks can then use these insights to optimise their products, services, and marketing strategies. 3. Increased Sales and Cross-Selling Opportunities: CRMs help banks identify cross-selling and upselling opportunities by analysing customer data and identifying customer needs and preferences. By leveraging this information, banks can proactively recommend relevant products and services, increasing sales and revenue. 4. Improved Customer Retention and Loyalty: CRMs help banks build stronger customer relationships by enabling personalised interactions and providing excellent customer service. By understanding customer needs and preferences, banks can proactively address issues and provide tailored solutions, fostering customer loyalty and reducing churn. 5. Enhanced Regulatory Compliance and Risk Management: CRMs assist banks in complying with industry regulations and managing risks effectively. By centralising customer data and tracking customer interactions, banks can easily generate reports and demonstrate compliance with regulatory requirements. CRMs and other banking software programs also help in identifying and managing potential risks associated with customer transactions. 6. Improved Operational Efficiency: CRMs streamline various banking processes, including customer onboarding, loan processing, and account management. By automating repetitive tasks and providing real-time access to customer information, CRMs help banks improve operational efficiency and reduce costs. 7. Increased Employee Productivity: CRMs provide banking employees with easy access to customer data and real-time updates, enabling them to handle customer inquiries more efficiently. This reduces the time spent on administrative tasks and allows employees to focus on providing exceptional customer service. 8. Improved Decision-Making: CRMs provide banks with data-driven insights into customer behaviour and market trends. This information supports informed decision-making, enabling banks to develop and implement effective strategies for customer acquisition, retention, and growth. 9. Enhanced Customer Experience: CRMs help banks deliver a superior customer experience by providing personalised interactions, proactive problem resolution, and quick response to customer inquiries. This results in increased customer satisfaction and positive brand perception.10. Increased Profitability: By leveraging the benefits of CRM systems, banks can optimise their operations, increase sales, and reduce costs, ultimately leading to increased profitability and long-term success for financial service customers. Case studies highlighting successful CRM implementations in banking Several financial institutions have successfully implemented CRM systems to enhance their operations and customer service. Here are a few notable case studies: DBS Bank: DBS Bank, a leading financial institution in Southeast Asia, implemented a CRM system to improve customer service and cross-selling opportunities. The system provided a 360-degree view of customers, enabling the bank to tailor products and services to individual needs. As a result, DBS Bank increased customer retention by 15% and cross-selling opportunities by 20%. HDFC Bank: India’s largest private sector bank, HDFC Bank, implemented a CRM system to improve customer service and operational efficiency. The system integrated various customer touch points, such as branches, ATMs, and online banking, providing a seamless experience for customers. HDFC Bank achieved a 20% reduction in operating costs and a 15% increase in customer satisfaction. JPMorgan Chase: JPMorgan Chase, one of the largest banks in the United States, implemented a CRM system to improve customer interactions and data management. The system provided a centralised platform to track customer interactions and data, allowing the bank to gain insights into customer behaviour and preferences. As a result, JPMorgan Chase increased customer interactions by 15% and improved data accuracy by 20%. Bank of America: Bank of America, the second-largest bank in the United States, implemented a CRM system to improve sales and cross-selling opportunities. The system provided sales teams with real-time customer data, across sales and marketing efforts enabling them to tailor their pitches and identify potential cross-selling opportunities. Bank of America achieved a 10% increase in sales and a 15% increase in cross-selling opportunities.These case studies demonstrate the tangible benefits of CRM in the banking industry. By implementing CRM systems, banks can improve customer retention, customer service, cross-selling opportunities, operating costs, and marketing campaigns. Overcoming challenges to CRM adoption in banking While CRM systems offer numerous benefits to banks, their adoption can be hindered by certain challenges. One of the primary obstacles is resistance from employees who may be reluctant to embrace new technology or fear job displacement. Overcoming this resistance requires effective change management strategies, such as involving employees in the selection and implementation process, providing all-encompassing training, and addressing their concerns. Another challenge is the lack of proper training and support for employees using the CRM system. Insufficient training can lead to low user adoption and suboptimal utilisation of the system’s features. To address this, banks should invest in robust training programs that equip employees with the knowledge and skills necessary to effectively use the CRM system. Training should cover not only the technical aspects of the system but also its benefits and how it aligns with the bank’s overall goals. Integration challenges can also hinder the successful adoption of CRM software in banking. Banks often have complex IT systems and integrating a new CRM system can be a complex and time-consuming process. To overcome these challenges, banks should carefully plan the integration process, ensuring compatibility between the CRM system and existing systems. This may involve working with the CRM vendor to ensure a smooth integration process and providing adequate technical support to address any issues that arise. Data security is a critical concern for banks, and the adoption of a CRM system must address potential security risks. Banks must ensure that the CRM system meets industry standards and regulations for data protection. This includes implementing robust security measures, such as encryption, access controls, and regular security audits, to safeguard sensitive customer information. Finally, the cost of implementing and maintaining a CRM system can be a challenge for banks. CRM systems require significant upfront investment in software, hardware, and training. Banks should carefully evaluate the costs and benefits of CRM adoption, ensuring that the potential returns justify the investment. Additionally, banks should consider the ongoing costs associated with maintaining and updating the CRM system, as well as the cost of providing ongoing training and support to users. Future trends and innovations in banking CRM Navigating Evolving Banking Trends and Innovations in CRM The banking industry stands at the precipice of transformative changes, driven by a surge of innovative technologies and evolving customer expectations. Open banking, artificial intelligence (AI), blockchain technology, the Internet of Things (IoT), and voice-activated interfaces are shaping the future of banking CRM. Open banking is revolutionising the financial sphere by enabling banks to securely share customer data with third-party providers, with the customer’s explicit consent. This fosters a broader financial ecosystem, offering customers access to a varied range of products and services, while fostering healthy competition and innovation within the banking sector. AI has become an indispensable tool for banking institutions, empowering them to deliver exceptional customer experiences. AI-driven chatbots and virtual assistants provide round-the-clock support, assisting customers with queries, processing transactions, and ensuring swift problem resolution. Additionally, AI plays a pivotal role in fraud detection and risk management, safeguarding customers’ financial well-being. Blockchain technology, with its decentralised and immutable nature, offers a secure platform for financial transactions. By maintaining an incorruptible ledger of records, blockchain ensures the integrity and transparency of financial data, building trust among customers and enhancing the overall banking experience. The Internet of Things (IoT) is transforming banking by connecting physical devices to the internet, enabling real-time data collection and exchange. IoT devices monitor customer behaviour, track equipment status, and manage inventory, empowering banks to optimise operations, reduce costs, and deliver personalised services. Voice-activated interfaces and chatbots are revolutionising customer interactions, providing convenient and intuitive access to banking services. Customers can utilise voice commands or text-based chat to manage accounts, make payments, and seek assistance, enhancing their overall banking experience. These transformative trends necessitate banks’ ability to adapt and innovate continuously. By embracing these technologies and aligning them with customer needs, banks can unlock new opportunities for growth, strengthen customer relationships, and remain at the forefront of the industry. How LIKE.TG Can Help LIKE.TG is a leading provider of CRM solutions that can help banks achieve the benefits of CRM. With LIKE.TG, banks can gain a complete view of their customers, track interactions, deliver personalised experiences, and more. LIKE.TG offers a comprehensive suite of CRM tools that can be customised to meet the specific needs of banks. These tools include customer relationship management (CRM), sales and marketing automation, customer service, and analytics. By leveraging LIKE.TG, banks can improve customer satisfaction, increase revenue, and reduce costs. For example, one bank that implemented LIKE.TG saw a 20% increase in customer satisfaction, a 15% increase in revenue, and a 10% decrease in costs. Here are some specific examples of how LIKE.TG can help banks: Gain a complete view of customers: LIKE.TG provides a single, unified platform that allows banks to track all customer interactions, from initial contact to ongoing support. This information can be used to create a complete picture of each customer, which can help banks deliver more personalised and relevant experiences. Track interactions: LIKE.TG allows banks to track all interactions with customers, including phone calls, emails, chat conversations, and social media posts. This information can be used to identify trends and patterns, which can help banks improve their customer service and sales efforts. Deliver personalised experiences: LIKE.TG allows banks to create personalised experiences for each customer. This can be done by using customer data to tailor marketing campaigns, product recommendations, and customer service interactions. Increase revenue: LIKE.TG can help banks increase revenue by providing tools to track sales opportunities, manage leads, and forecast revenue. This information can be used to make informed decisions about which products and services to offer, and how to best target customers. Reduce costs: LIKE.TG can help banks reduce costs by automating tasks, streamlining processes, and improving efficiency. This can free up resources that can be used to focus on other areas of the business. Overall, LIKE.TG is a powerful CRM solution that can help banks improve customer satisfaction, increase revenue, and reduce costs. By leveraging LIKE.TG, banks can gain a competitive advantage in the rapidly changing financial services industry.

					10 Ecommerce Trends That Will Influence Online Shopping in 2024
10 Ecommerce Trends That Will Influence Online Shopping in 2024
Some ecommerce trends and technologies pass in hype cycles, but others are so powerful they change the entire course of the market. After all the innovations and emerging technologies that cropped up in 2023, business leaders are assessing how to move forward and which new trends to implement.Here are some of the biggest trends that will affect your business over the coming year. What you’ll learn: Artificial intelligence is boosting efficiency Businesses are prioritising data management and harmonisation Conversational commerce is getting more human Headless commerce is helping businesses keep up Brands are going big with resale Social commerce is evolving Vibrant video content is boosting sales Loyalty programs are getting more personalised User-generated content is influencing ecommerce sales Subscriptions are adding value across a range of industries Ecommerce trends FAQ 1. Artificial intelligence is boosting efficiency There’s no doubt about it: Artificial intelligence (AI) is changing the ecommerce game. Commerce teams have been using the technology for years to automate and personalise product recommendations, chatbot activity, and more. But now, generative and predictive AI trained on large language models (LLM) offer even more opportunities to increase efficiency and scale personalisation. AI is more than an ecommerce trend — it can make your teams more productive and your customers more satisfied. Do you have a large product catalog that needs to be updated frequently? AI can write and categorise individual descriptions, cutting down hours of work to mere minutes. Do you need to optimise product detail pages? AI can help with SEO by automatically generating meta titles and meta descriptions for every product. Need to build a landing page for a new promotion? Generative page designers let users of all skill levels create and design web pages in seconds with simple, conversational building tools. All this innovation will make it easier to keep up with other trends, meet customers’ high expectations, and stay flexible — no matter what comes next. 2. Businesses are prioritising data management and harmonisation Data is your most valuable business asset. It’s how you understand your customers, make informed decisions, and gauge success. So it’s critical to make sure your data is in order. The challenge? Businesses collect a lot of it, but they don’t always know how to manage it. That’s where data management and harmonisation come in. They bring together data from multiple sources — think your customer relationship management (CRM) and order management systems — to provide a holistic view of all your business activities. With harmonised data, you can uncover insights and act on them much faster to increase customer satisfaction and revenue. Harmonised data also makes it possible to implement AI (including generative AI), automation, and machine learning to help you market, serve, and sell more efficiently. That’s why data management and harmonisation are top priorities among business leaders: 68% predict an increase in data management investments. 32% say a lack of a complete view and understanding of their data is a hurdle. 45% plan to prioritise gaining a more holistic view of their customers. For businesses looking to take advantage of all the new AI capabilities in ecommerce, data management should be priority number one. 3. Conversational commerce is getting more human Remember when chatbot experiences felt robotic and awkward? Those days are over. Thanks to generative AI and LLMs, conversational commerce is getting a glow-up. Interacting with chatbots for service inquiries, product questions, and more via messaging apps and websites feels much more human and personalised. Chatbots can now elevate online shopping with conversational AI and first-party data, mirroring the best in-store interactions across all digital channels. Natural language, image-based, and data-driven interactions can simplify product searches, provide personalised responses, and streamline purchases for a smooth experience across all your digital channels. As technology advances, this trend will gain more traction. Intelligent AI chatbots offer customers better self-service experiences and make shopping more enjoyable. This is critical since 68% of customers say they wouldn’t use a company’s chatbot again if they had a bad experience. 4. Headless commerce is helping businesses keep up Headless commerce continues to gain steam. With this modular architecture, ecommerce teams can deliver new experiences faster because they don’t have to wait in the developer queue to change back-end systems. Instead, employees can update online interfaces using APIs, experience managers, and user-friendly tools. According to business leaders and commerce teams already using headless: 76% say it offers more flexibility and customisation. 72% say it increases agility and lets teams make storefront changes faster. 66% say it improves integration between systems. Customers reap the benefits of headless commerce, too. Shoppers get fresh experiences more frequently across all devices and touchpoints. Even better? Headless results in richer personalisation, better omni-channel experiences, and peak performance for ecommerce websites. 5. Brands are going big with resale Over the past few years, consumers have shifted their mindset about resale items. Secondhand purchases that were once viewed as stigma are now seen as status. In fact, more than half of consumers (52%) have purchased an item secondhand in the last year, and the resale market is expected to reach $70 billion by 2027. Simply put: Resale presents a huge opportunity for your business. As the circular economy grows in popularity, brands everywhere are opening their own resale stores and encouraging consumers to turn in used items, from old jeans to designer handbags to kitchen appliances. To claim your piece of the pie, be strategic as you enter the market. This means implementing robust inventory and order management systems with real-time visibility and reverse logistics capabilities. 6. Social commerce is evolving There are almost 5 billion monthly active users on platforms like Instagram, Facebook, Snapchat, and TikTok. More than two-thirds (67%) of global shoppers have made a purchase through social media this year. Social commerce instantly connects you with a vast global audience and opens up new opportunities to boost product discovery, reach new markets, and build meaningful connections with your customers. But it’s not enough to just be present on social channels. You need to be an active participant and create engaging, authentic experiences for shoppers. Thanks to new social commerce tools — like generative AI for content creation and integrations with social platforms — the shopping experience is getting better, faster, and more engaging. This trend is blurring the lines between shopping and entertainment, and customer expectations are rising as a result. 7. Vibrant video content is boosting sales Now that shoppers have become accustomed to the vibrant, attention-grabbing video content on social platforms, they expect the same from your brand’s ecommerce site. Video can offer customers a deeper understanding of your products, such as how they’re used, and what they look like from different angles. And video content isn’t just useful for ads or for increasing product discovery. Brands are having major success using video at every stage of the customer journey: in pre-purchase consultations, on product detail pages, and in post-purchase emails. A large majority (89%) of consumers say watching a video has convinced them to buy a product or service. 8. Loyalty programs are getting more personalised It’s important to attract new customers, but it’s also critical to retain your existing ones. That means you need to find ways to increase loyalty and build brand love. More and more, customers are seeking out brand loyalty programs — but they want meaningful rewards and experiences. So, what’s the key to a successful loyalty program? In a word: personalisation. Customers don’t want to exchange their data for a clunky, impersonal experience where they have to jump through hoops to redeem points. They want straightforward, exclusive offers. Curated experiences. Relevant rewards. Six out of 10 consumers want discounts in return for joining a loyalty program, and about one-third of consumers say they find exclusive or early access to products valuable. The brands that win customer loyalty will be those that use data-driven insights to create a program that keeps customers continually engaged and satisfied. 9. User-generated content is influencing ecommerce sales User-generated content (UGC) adds credibility, authenticity‌, and social proof to a brand’s marketing efforts — and can significantly boost sales and brand loyalty. In fact, one study found that shoppers who interact with UGC experience a 102.4% increase in conversions. Most shoppers expect to see feedback and reviews before making a purchase, and UGC provides value by showcasing the experiences and opinions of real customers. UGC also breaks away from generic item descriptions and professional product photography. It can show how to style a piece of clothing, for example, or how an item will fit across a range of body types. User-generated videos go a step further, highlighting the functions and features of more complex products, like consumer electronics or even automobiles. UGC is also a cost-effective way to generate content for social commerce without relying on agencies or large teams. By sourcing posts from hashtags, tagging, or concentrated campaigns, brands can share real-time, authentic, and organic social posts to a wider audience. UGC can be used on product pages and in ads, as well. And you can incorporate it into product development processes to gather valuable input from customers at scale. 10. Subscriptions are adding value across a range of industries From streaming platforms to food, clothing, and pet supplies, subscriptions have become a popular business model across industries. In 2023, subscriptions generated over $38 billion in revenue, doubling over the past four years. That’s because subscriptions are a win-win for shoppers and businesses: They offer freedom of choice for customers while creating a continuous revenue stream for sellers. Consider consumer goods brand KIND Snacks. KIND implemented a subscription service to supplement its B2B sales, giving customers a direct line to exclusive offers and flavours. This created a consistent revenue stream for KIND and helped it build a new level of brand loyalty with its customers. The subscription also lets KIND collect first-party data, so it can test new products and spot new trends. Ecommerce trends FAQ How do I know if an ecommerce trend is right for my business? If you’re trying to decide whether to adopt a new trend, the first step is to conduct a cost/benefit analysis. As you do, remember to prioritise customer experience and satisfaction. Look at customer data to evaluate the potential impact of the trend on your business. How costly will it be to implement the trend, and what will the payoff be one, two, and five years into the future? Analyse the numbers to assess whether the trend aligns with your customers’ preferences and behaviours. You can also take a cue from your competitors and their adoption of specific trends. While you shouldn’t mimic everything they do, being aware of their experiences can provide valuable insights and help gauge the viability of a trend for your business. Ultimately, customer-centric decision-making should guide your evaluation. Is ecommerce still on the rise? In a word: yes. In fact, ecommerce is a top priority for businesses across industries, from healthcare to manufacturing. Customers expect increasingly sophisticated digital shopping experiences, and digital channels continue to be a preferred purchasing method. Ecommerce sales are expected to reach $8.1 trillion by 2026. As digital channels and new technologies evolve, so will customer behaviours and expectations. Where should I start if I want to implement AI? Generative AI is revolutionising ecommerce by enhancing customer experiences and increasing productivity, conversions, and customer loyalty. But to reap the benefits, it’s critical to keep a few things in mind. First is customer trust. A majority of customers (68%) say advances in AI make it more important for companies to be trustworthy. This means businesses implementing AI should focus on transparency. Tell customers how you will use their data to improve shopping experiences. Develop ethical standards around your use of AI, and discuss them openly. You’ll need to answer tough questions like: How do you ensure sensitive data is anonymised? How will you monitor accuracy and audit for bias, toxicity, or hallucinations? These should all be considerations as you choose AI partners and develop your code of conduct and governance principles. At a time when only 13% of customers fully trust companies to use AI ethically, this should be top of mind for businesses delving into the fast-evolving technology. How can commerce teams measure success after adopting a new trend? Before implementing a new experience or ecommerce trend, set key performance indicators (KPIs) and decide how you’ll track relevant ecommerce metrics. This helps you make informed decisions and monitor the various moving parts of your business. From understanding inventory needs to gaining insights into customer behaviour to increasing loyalty, you’ll be in a better position to plan for future growth. The choice of metrics will depend on the needs of your business, but it’s crucial to establish a strategy that outlines metrics, sets KPIs, and measures them regularly. Your business will be more agile and better able to adapt to new ecommerce trends and understand customer buying patterns. Ecommerce metrics and KPIs are valuable tools for building a successful future and will set the tone for future ecommerce growth.

					10 Effective Sales Coaching Tips That Work
10 Effective Sales Coaching Tips That Work
A good sales coach unlocks serious revenue potential. Effective coaching can increase sales performance by 8%, according to a study by research firm Gartner.Many sales managers find coaching difficult to master, however — especially in environments where reps are remote and managers are asked to do more with less time and fewer resources.Understanding the sales coaching process is crucial in maximising sales rep performance, empowering reps, and positively impacting the sales organisation through structured, data-driven strategies.If you’re not getting the support you need to effectively coach your sales team, don’t despair. These 10 sales coaching tips are easy to implement with many of the tools already at your disposal, and are effective for both in-person and remote teams.1. Focus on rep wellbeingOne in three salespeople say mental health in sales has declined over the last two years, according to a recent LIKE.TG survey. One of the biggest reasons is the shift to remote work environments, which pushed sales reps to change routines while still hitting quotas. Add in the isolation inherent in virtual selling and you have a formula for serious mental and emotional strain.You can alleviate this in a couple of ways. First, create boundaries for your team. Set clear work hours and urge reps not to schedule sales or internal calls outside of these hours. Also, be clear about when reps should be checking internal messages and when they can sign off.Lori Richardson, founder of sales training company Score More Sales, advises managers to address this head-on by asking reps about their wellbeing during weekly one-on-ones. “I like to ask open-ended questions about the past week,” she said. “Questions like, ‘How did it go?’ and ‘What was it like?’ are good first steps. Then, you need to listen.”When the rep is done sharing their reflection, Richardson suggests restating the main points to ensure you’re on the same page. If necessary, ask for clarity so you fully understand what’s affecting their state of mind. Also, she urges: Don’t judge. The level of comfort required for sharing in these scenarios can only exist if you don’t jump to judgement.2. Build trust with authentic storiesFor sales coaching to work, sales managers must earn reps’ trust. This allows the individual to be open about performance challenges. The best way to start is by sharing personal and professional stories.These anecdotes should be authentic, revealing fault and weakness as much as success. There are two goals here: support reps with relatable stories so they know they’re not struggling alone, and let them know there are ways to address and overcome challenges.For example, a seasoned manager might share details about their first failed sales call as a cautionary tale – highlighting poor preparation, aggressive posturing, and lack of empathy during the conversation. This would be followed by steps the manager took to fix these mistakes, like call rehearsing and early-stage research into the prospect’s background, business, position, and pain points.3. Record and review sales callsSales coaching sessions, where recording and reviewing sales calls are key components aimed at improving sales call techniques, have become essential in today’s sales environment. Once upon a time, sales reps learned by shadowing tenured salespeople. While this is still done, it’s inefficient – and often untenable for virtual sales teams.To give sales reps the guidance and coaching they need to improve sales calls, deploy an intuitive conversation recording and analysis tool like Einstein Conversation Insights (ECI). You can analyse sales call conversations, track keywords to identify market trends, and share successful calls to help coach existing reps and accelerate onboarding for new reps. Curate both “best of” and “what not to do” examples so reps have a sense of where the guide rails are.4. Encourage self-evaluationWhen doing post-call debriefs or skill assessments – or just coaching during one-on-ones – it’s critical to have the salesperson self-evaluate. As a sales manager, you may only be with the rep one or two days a month. Given this disconnect, the goal is to encourage the sales rep to evaluate their own performance and build self-improvement goals around these observations.There are two important components to this. First, avoid jumping directly into feedback during your interactions. Relax and take a step back; let the sales rep self-evaluate.Second, be ready to prompt your reps with open-ended questions to help guide their self-evaluation. Consider questions like:What were your big wins over the last week/quarter?What were your biggest challenges and where did they come from?How did you address obstacles to sales closings?What have you learned about both your wins and losses?What happened during recent calls that didn’t go as well as you’d like? What would you do differently next time?Reps who can assess what they do well and where they can improve ultimately become more self-aware. Self-awareness is the gateway to self-confidence, which can help lead to more consistent sales.5. Let your reps set their own goalsThis falls in line with self-evaluation. Effective sales coaches don’t set focus areas for their salespeople; they let reps set this for themselves. During your one-on-ones, see if there’s an important area each rep wants to focus on and go with their suggestion (recommending adjustments as needed to ensure their goals align with those of the company). This creates a stronger desire to improve as it’s the rep who is making the commitment. Less effective managers will pick improvement goals for their reps, then wonder why they don’t get buy-in.For instance, a rep who identifies a tendency to be overly chatty in sales calls might set a goal to listen more. (Nine out of 10 salespeople say listening is more important than talking in sales today, according to a recent LIKE.TG survey.) To help, they could record their calls and review the listen-to-talk ratio. Based on industry benchmarks, they could set a clear goal metric and timeline – a 60/40 listen-to-talk ratio in four weeks, for example.Richardson does have one note of caution, however. “Reps don’t have all the answers. Each seller has strengths and gaps,” she said. “A strong manager can identify those strengths and gaps, and help reps fill in the missing pieces.”6. Focus on one improvement at a timeFor sales coaching to be effective, work with the rep to improve one area at a time instead of multiple areas simultaneously. With the former, you see acute focus and measurable progress. With the latter, you end up with frustrated, stalled-out reps pulled in too many directions.Here’s an example: Let’s say your rep is struggling with sales call openings. They let their nerves get the best of them and fumble through rehearsed intros. Over the course of a year, encourage them to practice different kinds of openings with other reps. Review their calls and offer insight. Ask them to regularly assess their comfort level with call openings during one-on-ones. Over time, you will see their focus pay off.7. Ask each rep to create an action planOpen questioning during one-on-ones creates an environment where a sales rep can surface methods to achieve their goals. To make this concrete, have the sales rep write out a plan of action that incorporates these methods. This plan should outline achievable steps to a desired goal with a clearly defined timeline. Be sure you upload it to your CRM as an attachment or use a tool like Quip to create a collaborative document editable by both the manager and the rep. Have reps create the plan after early-quarter one-on-ones and check in monthly to gauge progress (more on that in the next step).Here’s what a basic action plan might look like:Main goal: Complete 10 sales calls during the last week of the quarterSteps:Week 1: Identify 20-25 prospectsWeek 2: Make qualifying callsWeek 3: Conduct needs analysis (discovery) calls, prune list, and schedule sales calls with top prospectsWeek 4: Lead sales calls and close dealsThe power of putting pen to paper here is twofold. First, it forces the sales rep to think through their plan of action. Second, it crystallises their thinking and cements their commitment to action.8. Hold your rep accountableAs businessman Louis Gerstner, Jr. wrote in “Who Says Elephants Can’t Dance?”, “people respect what you inspect.” The effective manager understands that once the plan of action is in place, their role as coach is to hold the sales rep accountable for following through on their commitments. To support them, a manager should ask questions during one-on-ones such as:What measurable progress have you made this week/quarter?What challenges are you facing?How do you plan to overcome these challenges?You can also review rep activity in your CRM. This is especially easy if you have a platform that combines automatic activity logging, easy pipeline inspection, and task lists with reminders. If you need to follow up, don’t schedule another meeting. Instead, send your rep a quick note via email or a messaging tool like Slack to level-set.9. Offer professional development opportunitiesAccording to a study by LinkedIn, 94% of employees would stay at a company longer if it invested in their career. When companies make an effort to feed their employees’ growth, it’s a win-win. Productivity increases and employees are engaged in their work.Book clubs, seminars, internal training sessions, and courses are all great development opportunities. If tuition reimbursement or sponsorship is possible, articulate this up front so reps know about all available options.Richardson adds podcasts to the list. “Get all of your salespeople together to talk about a podcast episode that ties into sales,” she said. “Take notes, pull key takeaways and action items, and share a meeting summary the next day with the group. I love that kind of peer engagement. It’s so much better than watching a dull training video.”10. Set up time to share failures — and celebrationsAs Forbes Council member and sales vet Adam Mendler wrote of sales teams, successful reps and executives prize learning from failure. But as Richardson points out, a lot of coaches rescue their reps before they can learn from mistakes: “Instead of letting them fail, they try to save an opportunity,” she said. “But that’s not scalable and doesn’t build confidence in the rep.”Instead, give your reps the freedom to make mistakes and offer them guidance to grow through their failures. Set up a safe space where reps can share their mistakes and learnings with the larger team — then encourage each rep to toss those mistakes on a metaphorical bonfire so they can move on.By embracing failure as a learning opportunity, you also minimise the likelihood of repeating the same mistakes. Encourage your reps to document the circumstances that led to a missed opportunity or lost deal. Review calls to pinpoint where conversations go awry. Study failure, and you might be surprised by the insights that emerge.Also — and equally as important — make space for celebrating big wins. This cements best practices and offers positive reinforcement, which motivates reps to work harder to hit (or exceed) quota.Next steps for your sales coaching programA successful sales coach plays a pivotal role in enhancing sales rep performance and elevating the entire sales organisation. Successful sales coaching requires daily interaction with your team, ongoing training, and regular feedback, which optimises sales processes to improve overall sales performance. As Lindsey Boggs, global director of sales development at Quantum Metric, noted, it also requires intentional focus and a strategic approach to empower the sales team, significantly impacting the sales organisation.“Remove noise from your calendar so you can focus your day on what’s going to move the needle the most — coaching,” she said. Once that’s prioritised, follow the best practices above to help improve your sales reps’ performance, focusing on individual rep development as a key aspect of sales coaching. Remember: coaching is the key to driving sales performance.Steven Rosen, founder of sales management training company STAR Results, contributed to this article.
企业管理
AI translation apps: Benefits for your travels?
AI translation apps
Benefits for your travels?
This article explains the benefits of AI translation apps for travelers, which offer a practical and efficient solution worldwide.Despite the increasing accessibility of international travel, language barriers continue to pose a significant challenge. At LIKE.TG, our goal is to help you explore the world more easilyThe Revolution of AI in TranslationAI technology has revolutionized language translation, providing unprecedented accuracy and contextualization.These applications continuously learn, improving their ability to understand and translate linguistic and cultural nuances with each update.Benefits of AI Translation AppsTravel without language barriersImagine asking for directions, interacting with locals, or even resolving emergencies in a language you don’t speak.AI translation apps make it all possible, removing one of the biggest obstacles for travelers: language.Instant communicationImagine looking at a menu in an Italian restaurant and every dish sounds like a Harry Potter spell. This is where your AI translation app acts as your personal wand.Imagine having a magic button that allows you to instantly understand and speak any language. Well, in the real world, that “wand” fits in your pocket and is called an AI translation app.These apps are like having a personal mini translator with you 24/7, ready to help you order that strange dish on the menu without ending up eating something you can’t even pronounce.Whether you’re trying to unravel the mystery of a Japanese sign or want to know what the hell that road sign in Iceland means, the instant translation offered by some AI apps is your best friend.Cultural learning beyond wordsSome of these apps don’t just translate words for you; they immerse you in a pool of culture without the need for floats. Think of them as a bridge between you and the authentic native experiences that await you in every corner of the world.Suddenly you learn to say “thank you” in Italian so convincingly that even the “nonna” at the restaurant smiles at you.There are tools that not only teach you to speak like a native, but to understand their gestures, their jokes, and even prepare you to be the “King of Karaoke in Korea”.Gain independence and be the boss of your own trip.Need a tour guide? No way! With an AI translation app in your pocket, you become the hero of your own travel odyssey.These digital wonders give you the freedom to control your adventure, allowing you to discover those secret corners of Paris or navigate the back streets of Tokyo without becoming part of the scenery.They are your golden ticket to freedom, giving you the power to explore at your leisure without having to follow the pack like a duck in a line.It’s time to take the reins, blaze your own trail, and collect the epic stories everyone wants to hear.With these apps, independence isn’t just a word; it’s your new way of traveling.Improve your dining experienceHave you ever felt like a detective trying to solve the mystery of a foreign menu? With AI translation apps, the mystery is solved instantly.Imagine pointing your phone at a dish called “Risotto ai Funghi” and discovering that you’re not ordering a strange dessert, but a delicious rice with mushrooms.These apps are your personal Michelin guide, ensuring that every bite is an adventure for your taste buds and not an unwanted surprise.Makes using public transportation easierSay goodbye to the complicated signs and misunderstandings that get you around town.It’s like every traffic sign and schedule speaks your language, giving you a VIP pass to move around the city like a fish in water, ready to explain that the train leaves in 5 minutes, not 50.Suddenly, getting from point A to point B is as easy as ordering a pizza.Improve your personal safetyIn a pinch, these apps become your capeless hero. Whether it’s explaining a shellfish allergy or locating the nearest emergency exit, they help you communicate clearly and avoid those “lost in translation” moments no one wants to experience.Access real-time local information:See that poster about a local event? Yeah, the one that looks interesting but is in a language you don’t understand.With a quick scan, your translation app tells you all about that secret concert or food festival that only the locals go to.Congratulations! You’ve just upgraded your status from tourist to expert traveler.Flexibility and convenienceWant to change your plans and venture to a nearby town recommended by a local you met yesterday at the train station? Of course you can!With the confidence your translation app gives you, you can decide to follow that spontaneous advice and visit a nearby town without worrying about the language. Your trip, your rules.Choosing the best translation app for your travelsWhen choosing a translation app, it is important to consider the variety of languages available, the accuracy of the translation, and the additional features it offers.LIKE.TG apps, for example, stand out for their wide range of supported languages and innovative features that go beyond simple translation, such as real-time speech recognition and built-in language lessons.REMEMBER !!!You can downloadour available appsfor translating and learning languages correctly available for free on googleplay and applestores.Do not hesitate to visit ourLIKE.TG websiteand contact us with any questions or problems you may have, and of course, take a look at any ofour blog articles.
AI-based translation tools: Analysis and comparison of the best ones
AI-based translation tools
Analysis and comparison of the best ones
As globalization increases, companies and individuals are finding it necessary to communicate more frequently with people who speak different languages.As a result, the need for translation tools has become more pressing.The good news is that there are now AI-based translation tools that make the process of translating text and speech faster and more accurate than ever before.In this article, I will analyze and compare the best AI-based translation tools available, discussing their advantages, features and drawbacks.Introduction to AI-based translation toolsAI-based translation tools use artificial intelligence to translate text and speech from one language to another. These tools have become increasingly popular in recent years thanks to advances in machine learning and natural language processing. Such tools are faster, more accurate and can handle a higher volume of work.Benefits of using AI-based translation toolsOne of the main advantages of using AI-based translation tools is speed. These tools can translate large volumes of text in a matter of seconds, whereas it would take a human translator much longer to do the same job.They are less likely to make mistakes and can also be used to translate speeches in real time, which makes them very useful for international conferences or business meetings.Popular AI-based translation tools and their featuresThere are many AI-based translation tools, each with its own unique features. Here are some of the most popular ones and what they offer:1. Google TranslateGoogle Translate is one of the most well-known AI-based translation tools. It offers translations in over 100 languages and can be used to translate text, speech, and even images. Google Translate also offers a feature called “Conversation Mode,” which allows two people to have a conversation in different languages using the same device.2. Microsoft TranslatorMicrosoft Translator is another popular AI-based translation tool. It offers translations in over 60 languages and can be used to translate text, speech, and images. Microsoft Translator also offers a feature called “Live Feature,” which allows two people to have a conversation in different languages using their own devices.3. DeepLDeepL is a newer AI-based translation tool, but it has quickly gained popularity thanks to its high-quality translations. It offers translations in nine languages and can be used to translate text. DeepL uses deep learning algorithms to produce translations that are more accurate and natural-sounding than those produced by other translation tools.4. LIKE.TG TranslateLIKE.TG Translate is a relatively new AI-based translation tool that has gained popularity in recent years. It is available in over 125 languages and can translate text, voice and images. One of the unique features of LIKE.TG Translate is its ability to translate text within other apps.The best feature of these apps is that not only do they base their translation using AI but they have a team of native translators behind them constantly improving their applications to make them even better.Factors to consider when choosing an AI-based translation toolWhen choosing an AI-based translation tool, there are several factors to consider. The first is the languages you need to translate. Make sure the tool you choose supports the languages you need. The second factor is the type of translations you need. Do you need to translate text, speech, or images? Do you need real-time translation for conversations? The third factor is the accuracy of the translations. Consider the quality of the translations produced by each tool. Lastly, consider the cost of the tool. Some AI-based translation tools are free, while others require a subscription or payment per use.Pros and cons of using AI-based translation toolsLike any tool, AI-based translation tools have pros and cons. Here are some of the main advantages and drawbacks of using these tools:After a thorough analysis, I can faithfully describe to you some of the most characteristic pros and cons of these tools:PROSAccuracy: These tools are able to better understand the context and syntax of the language, which translates into greater translation accuracy.Speed: Translating large amounts of text can take a long time if done manually, whereas AI-based translation tools are able to process large amounts of text in a matter of seconds.Cost savings: AI-based translation tools are often less expensive than human translation services, especially for large projects.Integrations: Many of these tools integrate with other platforms and productivity tools, making them easy to use in different contexts.CONSLack of context: These tools often lack context, which can result in inaccurate or inconsistent translations. For example, a literal translation of a sentence in one language into another may not take into account cultural connotations or social context and result in a translation that makes no sense.Lack of accuracy: Although AI-based translation tools have improved significantly in recent years, they are still not as accurate as humans. Translations can be inaccurate or have grammatical and spelling errors, especially in more complex or technical languages.They cannot capture nuances or tones: Such translation tools cannot capture nuances or tones that are often important in human communication. For example, they may miss the sarcastic or ironic tone of a sentence and translate it literally.Language dependency: language dependent, meaning that they work best for translating between widely spoken and documented languages but do not represent less common languages or regional dialects well. .Cost: While there are some available for free, many of the high-quality tools are quite expensive.Lack of customization: AI-based translation tools cannot be customized to meet the specific needs of an individual or company. This can limit their usefulness especially when highly specialized or technical translation is required.Privacy and security: Some tools collect and store sensitive data, which can raise serious concerns about data privacy and security.In conclusion, AI-based translation tools offer a number of advantages in terms of speed, accuracy and cost, but it is important to be aware of their limitations and challenges when selecting a tool.How AI-based translation tools are changing the translation industryAI-based translation tools are changing the translation industry in several ways. The first is that the translation process is faster and more efficient. This allows translators to handle larger volumes of work and deliver projects faster. The second way in which they are changing the industry is that specialized translators are becoming more in demand, as human quality is irreplaceable and although they can do basic translations, they have problems with technical or specialized language.This means that specialized translators in certain areas are more in demand than ever.The future of AI-based translation toolsThe future of AI-based translation tools is bright. As technology continues to advance, these tools will become even more sophisticated and accurate. We may eventually see a tool capable of handling all forms of language, including slang and regional dialects. It is also possible that they will become more integrated into our daily lives, allowing us to communicate with people who speak different languages more easily than ever before, yet experts continue to warn that humans cannot be replaced.Conclusion and recommendations for the best AI-based translation toolsIn conclusion, AI-based translation tools offer many advantages over traditional methods. They are faster, more accurate and can handle a higher volume of work. However, it is important to consider the languages you need to translate, the type of translations you need, the accuracy of the translations and the cost of the tool when choosing an AI-based translation tool, because at the end of the day no AI can replace a human being, nor can it emulate the human quality that a human being can bring to us.Based on our analysis and comparison, we recommend Google Translate for its versatility and variety of features. However, if you need high quality translations, LIKE.TG Translate may be the best choice.REMEMBER !!!You can downloadour available appsfor translating and learning languages correctly available for free on googleplay and applestores.Do not hesitate to visit ourLIKE.TG websiteand contact us with any questions or problems you may have, and of course, take a look at any ofour blog articles.
Artificial intelligence (AI) in language teaching: Future perspectives and challenges
Artificial intelligence (AI) in language teaching
Future perspectives and challenges
In a world where educational technology is advancing by leaps and bounds, it is no surprise that artificial intelligence is revolutionizing the way we learn languages.The combination of machine learning in education and AI in language teaching has opened up a range of exciting possibilities and, at the same time, poses challenges that we must face to make the most of this innovation.What is Artificial Intelligence in Language Teaching?Artificial intelligence (AI) in language teaching refers to the use of algorithms and computer systems to facilitate the process of learning a new language.From mobile apps to online platforms, AI has been integrated into a variety of tools designed to help students improve their language skills efficiently and effectively.Advances in AI and its challenges in language learningArtificial intelligence (AI) is radically transforming the way we learn languages. With the emergence of AI-powered apps and platforms, students have access to innovative tools that personalize learning to their individual needs.These tools use machine learning algorithms to analyze student progress and deliver tailored content, from grammar exercises to conversation practice.Additionally, AI-powered translation has significantly improved in accuracy and speed. Apps like LIKE.TG Translate allow users to instantly translate between multiple languages ​​with just a few clicks, making multilingual communication easier.Artificial Intelligence offers unprecedented potential to improve the language learning process, providing students with personalized and efficient tools.Positive Perspectives of AI in Language TeachingOne of the main advantages of AI in language teaching is its ability to personalize learning. Through data analysis and machine learning, AI systems can adapt digital learning platforms, content and activities based on the needs and preferences of each student.This allows for a more individualized and effective approach to improving language skills.In addition, AI has also enabled the development of more accurate and faster real-time translation tools. With apps like LIKE.TG Translate, users can access instant translations in multiple languages ​​with just a few clicks.This facilitates communication in multilingual environments and expands opportunities for interaction and learning.AI in language teaching opens the doors to global communication without barriersChallenges and Future ChallengesDespite advances in AI applied to language teaching, there are still important challenges that we must overcome. One of the main challenges is to guarantee the quality and accuracy of the content generated by AI.While AI systems can be effective in providing feedback and practice exercises, there are still areas where human intervention is necessary to correct errors and provide high-quality teaching.Another important challenge is ensuring that AI in language teaching is accessible to everyone. As we move towards an increasingly digitalized future, it is crucial to ensure that all people, regardless of their geographic location or socioeconomic status, have access to AI language learning apps.This will require investment in technological infrastructure and digital literacy programs around the world.How Long Is It Possible to Learn a Language with Artificial Intelligence?With the help of artificial intelligence (AI), learning a new language can be more efficient than ever.Although the time required to master a language varies depending on various factors, such as the complexity of the language, the level of dedication of the learner, and the quality of the AI ​​tools used, many people have managed to acquire significant language skills in a relatively short period of time.Thanks to AI applications and platforms designed specifically for language learning, users can benefit from a personalized approach tailored to their individual needs.These tools use machine learning algorithms to identify areas for improvement and provide relevant content, speeding up the learning process.On average, some people have reported significant gains in their language proficiency in just a few months of consistent use of AI tools.However, it is important to keep in mind that learning a language is an ongoing process and that completing mastery can take years of constant practice and exposure to the language in real-world contexts.Ultimately, the time needed to learn a language with AI depends largely on the commitment and dedication of the student.“The journey to mastering a language with AI begins with small daily steps, but constant dedication is the key to achieving the desired fluency.”In conclusion, the integration of technology in education and artificial intelligence in language teaching offers exciting opportunities to improve the learning process and promote intercultural global communication.However, it also poses challenges that we must proactively address to ensure that everyone can benefit from this innovation in education.With a collaborative approach and a continued commitment to educational excellence, we can fully realize the potential of AI in language teaching and prepare for a multilingual and globalized future.Visit our website for more information and begin your journey towards mastering languages ​​​​with the best and most advanced technology.
海外工具
10个最好的网站数据实时分析工具
10个最好的网站数据实时分析工具
网络分析工具可以帮助你收集、预估和分析网站的访问记录,对于网站优化、市场研究来说,是个非常实用的工具。每一个网站开发者和所有者,想知道他的网站的完整的状态和访问信息,目前互联网中有很多分析工具,本文选取了20款最好的分析工具,可以为你提供实时访问数据。1.Google Analytics这是一个使用最广泛的访问统计分析工具,几周前,Google Analytics推出了一项新功能,可以提供实时报告。你可以看到你的网站中目前在线的访客数量,了解他们观看了哪些网页、他们通过哪个网站链接到你的网站、来自哪个国家等等。2. Clicky与Google Analytics这种庞大的分析系统相比,Clicky相对比较简易,它在控制面板上描供了一系列统计数据,包括最近三天的访问量、最高的20个链接来源及最高20个关键字,虽说数据种类不多,但可直观的反映出当前站点的访问情况,而且UI也比较简洁清新。3. WoopraWoopra将实时统计带到了另一个层次,它能实时直播网站的访问数据,你甚至可以使用Woopra Chat部件与用户聊天。它还拥有先进的通知功能,可让你建立各类通知,如电子邮件、声音、弹出框等。4. Chartbeat这是针对新闻出版和其他类型网站的实时分析工具。针对电子商务网站的专业分析功能即将推出。它可以让你查看访问者如何与你的网站进行互动,这可以帮助你改善你的网站。5. GoSquared它提供了所有常用的分析功能,并且还可以让你查看特定访客的数据。它集成了Olark,可以让你与访客进行聊天。6. Mixpane该工具可以让你查看访客数据,并分析趋势,以及比较几天内的变化情况。7. Reinvigorate它提供了所有常用的实时分析功能,可以让你直观地了解访客点击了哪些地方。你甚至可以查看注册用户的名称标签,这样你就可以跟踪他们对网站的使用情况了。8. Piwi这是一个开源的实时分析工具,你可以轻松下载并安装在自己的服务器上。9. ShinyStat该网站提供了四种产品,其中包括一个有限制的免费分析产品,可用于个人和非营利网站。企业版拥有搜索引擎排名检测,可以帮助你跟踪和改善网站的排名。10. StatCounter这是一个免费的实时分析工具,只需几行代码即可安装。它提供了所有常用的分析数据,此外,你还可以设置每天、每周或每月自动给你发送电子邮件报告。本文转载自:https://www.cifnews.com/search/article?keyword=工具
10款常用的SEO内容优化工具
10款常用的SEO内容优化工具
谷歌使用含有数百个加权因子的复杂算法,根据给定网页与给定关键词的相关性,对网页进行索引和排名。数字营销人员则通过实证测试试图弄清这个复杂算法背后的原理,并采用特定的方法来提高网页在搜索结果页中的排名,这一过程被叫做搜索引擎优化(SEO),这是数字营销人员必须掌握的重要技能。 如果没有优质SEO内容工具,优化网页内容将是一项冗长乏味的工作。为了帮助您节省大量时间和劳动力,本为会为您推荐10个最佳SEO内容创作工具,这些工具适用于内容创作过程的不同阶段。 1. Google Search Console 价格:网站所有者可免费使用 作用:Google Search Console是谷歌自己的工具,能够帮助提高网站在搜索引擎结果页面中的排名。它包括网站性能监视工具,页面加载时间监视工具。您还可以监控您的网站在Google搜索结果中的排名,了解哪些页面是针对特定关键词进行排名的。您还可以查看网页在搜索结果页面的展示次数和点击次数。它帮助您确定该优化哪些内容,以及接下来该定位哪些关键词。 2. Google Keyword Planner 价格:拥有Google Ads账户的人均可免费使用 作用:Google Keyword Planner是进行基本的关键词研究的最佳免费工具之一。您可以 1)发现新关键词:输入任何关键词来查看与其类似的关键词列表,以及它们的搜索量和相关指标,使得你很容易找到新的关键字优化目标;2)预测关键词趋势:监控趋势,以发现流行的搜索关键词。Kenny觉得这个工具只适合做SEM的小伙伴,如果你是做SEO的,那查找到的关键词数据不适合SEO。 3. WordStream 价格:免费 作用:WordStream 提供了一个精简版的Google Keyword Planner,它是免费的,易于使用。只需输入您选择的关键词,选择一个行业,并输入您的位置,然后单击Email All My Keywords按钮,您就可以获得关键词列表和它们在Google和Bing上的搜索量,以及每个关键词的平均每次点击成本(CPC) 4. SEMrush 价格:部分功能免费,订阅制99.95美元/月 作用:SEMrush 是最流行的工具之一,适用于所有类型的数字营销人员。它包含40多种不同的工具,可以帮助进行SEO、PPC和社交媒体管理。营销人员可以使用SEMrush分析反向链接、进行关键词研究、分析自己或竞争对手的网站性能和流量,并发现新的市场和机会。SEMrush还有一个SEO审计程序,可以帮助解决网站SEO的一些技术问题。 图片来源:SEMrush 5. BuzzSumo 价格:79美元/月 作用:BuzzSumo帮助营销人员有效分析网站内容,同时紧跟热门趋势。BuzzSumo能够找到用户在不同平台上最喜欢分享的内容。只需要输入网站链接,就能查看什么是该网站最热门的内容。您还可以分析过去一天内,一个月内以及一年内的趋势,并且按照作者或者平台过滤。 6. Answer the Public 价格:每天3次免费使用,无限使用99美元/月 作用:输入某一关键词,您可以查找到任何与之相联系的关键词,并获得可视化报告。这些关键字以您输入的关键词为中心,形成一个网状结构,展示它们之间的联系。借助Answer the Public,营销人员可以撰写针对性强的文章,使网页更有可能出现在Google Snippets中。 图片来源:Answer the Public 7. Yoast SEO 价格:基础版免费,高级版89美元/月 作用:Yoast SEO是一个WordPress插件。它可在您使用WordPress优化博客文章时,为您提供实时反馈,提供改进建议。它类似一个清单工具,实时告诉你撰写网站博文时还可以做哪些事来优化SEO。 8. Keyword Density Checker 价格:每月500次使用限制,如需解锁更多使用次数,可购买50美元/年的高级版 作用:关键字密度(Keyword density)是谷歌等搜索引擎用来对网页进行排名的重要因素。您应该确保目标关键词在每篇文章中被提到足够多的次数,同时还不能滥用关键词。keyword density checker可以计算出每个关键词在您的文章中被提及的次数。只要复制粘贴文本,您就能知道文章中出现频率最高的关键词列表。对于大多数内容而言,目标关键字的密度最好在2%到5%。 图片来源:Keyword Density Checker 9. Read-Able 价格:免费版可供使用,付费版4美元/月 作用:据统计,北美人的平均阅读水平在八年级左右。因此,如果北美人是您的目标受众,您应该撰写清晰易懂的句子和文章。如果您的目标受众受过大学教育,则可以使用较长的单词和复杂的句子。Read-able帮助您将文章写作水平与目标受众的阅读水平相匹配,为读者提供最佳体验。它提供阅读水平检查,语法和拼写检查等功能。 10. Grammarly Premium 价格:11.66美元/月 作用:搜索引擎将网站的拼写和语法纳入排名范围。如果网站内容包含许多拼写错误,它就不太可能获得一个高排名。Grammarly可以轻松创建语法正确且没有拼写错误的内容。您可以将Grammarly作为插件添加到浏览器,并在撰写电子邮件、社交媒体更新或博客文章时使用它。 从关键词研究到拼写检查和语法纠正,这10种工具涵盖了网站内容创建的每一个步骤。我们希望您在为网站编写内容时,可以使用其中一部分工具来节省时间和精力。如果您在实操上遇到困难,或者需要专业的咨询服务,一个专业的数字营销团队正是您需要的!Ara Analytics有丰富的搜索引擎优化经验,欢迎联系我们,我们将为您提供定制化的专业服务。 往期推荐: 支招!新网站引流SEO优化该怎么做? 十七招教你快速提升网站流量 | Google “SEO到底多久才可以见效啊?”-跨境电商提高自然流量必须知道的五个真相 【Google SEO】12款常用的免费谷歌SEO工具推荐- 助网站流量翻倍增长 (来源:Kenny出海推广) 以上内容属作者个人观点,不代表LIKE.TG立场!本文经原作者授权转载,转载需经原作者授权同意。​ 本文转载自:https://www.cifnews.com/search/article?keyword=工具
11大亚马逊数据工具,好用到尖叫!(黑五网一特惠福利)
11大亚马逊数据工具,好用到尖叫!(黑五网一特惠福利)
平台商家想要销量好,关键要选择有针对性的数据工具。本文将分享11款相关产品,帮助国内亚马逊卖家更好地解决日常销售中的问题。 这些工具可以帮助卖家找到一定需求的利基市场以及热销产品。 废话不多说,接着往下看吧! 1、 AmzChart (图片来源:AmzChart) AmzChart中的Amazon BSR图表工具涵盖9个国家,拥有超过数十万的产品分析。 如果你想在竞争中脱颖而出赢得竞品的市场份额,为企业带来财富的话,那么选择AmzChart准没错! 你可以选择AmzChart的理由: • Amazon BSR中可找到低竞争利基产品,助力销量增长至200%。 • 短短一分钟之内即可找到热销品类,帮助卖家深入更大的利润空间。 • 追踪竞争对手产品数据,并以电子邮件形式提供反馈。 • 反查对手ASIN功能可帮助商家分析竞争对手的关键词。 • 跟踪竞争对手的各项平台指标。 • 获取产品价格趋势,且可以轻松下载历史跟踪器插件,并安装自己的网站上。 • 通过分析报告和视频教程获得专业指导——在亚马逊经商之旅的各个阶段,你都不会孤立无援。 【点击此处】获取黑五网一福利:前3个月享5折优惠 2、 Jungle Scout (图片来源:Jungle Scout) 无论你是新手商家,或是已有经验的亚马逊老司机,Jungle Scout均可为你提供多方支持。 你可以选择Jungle Scout的理由: • 可使用筛选器从产品数据库中找到热销产品,快速又方便。 • 平台新手可通过量化数据做出决策,轻松推出产品。 • Jungel Scout可帮助商家精简业务流程,提高市场洞察能力。 • 大量的功能,如排名跟踪、listing搭建器、评价自动化、库存监管等。 3、Seller Labs Pro (图片来源:SellerLabs) 作为亚马逊智能关键字工具之一,SellerLabs能帮助商家提高自然排名和付费流量,以及一系列广泛工具。 无论是长尾关键词,还是PPC术语,你在这个工具中找到。专业版每个月49美元起价。年度计划更为划算,每月39美元起,共可节省120美元。 你可以选择Seller Labs Pro的理由: • 商家随时可监控流量、广告支出、转化率和下载报告,并将收到重要指标的通知。 • 实时通知可以帮助商家做出决策,避免缺货。 • 基于AI智能,为构建SEO策略提供详细建议。 • 访问优化工具,抓取热销产品关键字,节省运营时间。 4、 Helium 10 (图片来源:Helium 10) 作为一体化的亚马逊数据工具,Helium 10可轻松助力平台商家拓展业务。 你可以选择Helium 10 的理由: • 数据库中有4.5亿条ASIN数据,可帮助商家更快地找到产品。更直观进行分析和利润估算,以验证产品是否能够成功打入市场。 • 您可以探索关键字研究,如单字、反查对手ASIN、后端和低竞争度短语。 • 数百个关键字无缝编写listing,并让排名更靠前。 • 内置的安全工具能够避免安全威胁。可以使用警报和更新轻松地管理您的业务。 • 分析可以帮助做出强有力的决策,形成更好的产品排名。 • 可以轻松使用PPC管理和自动化以促进业务增长。 【点击此处】获取黑五限时特惠:购买两个月Diamond钻石套餐可享受5折优惠并获得额外福利。 5、AmaSuite 5 (图片来源:AmaSuite 5) AmaSuite 5具有强大的新功能,其中包括可以在Mac和Windows双系统完形成无缝工作流的Research桌面软件。 通过AmaSuite 5工具套件,商家可以发现利好关键字和产品,从而在亚马逊上赚到一笔。 你可以选择AmaSuite 5的理由: • 使用Ama Product Analyzer,可以找到各个品类的畅销产品。 • 可以通过输入主要产品关键字找到类似款式的畅销产品。 • 通过提取产品评论获得自有品牌产品想法,并可分析产品特点和优势,确保完成无风险销售行为。 • 访问亚马逊销售课程奖金,并学习如何在亚马逊开展规模化销售业务。其中的分步指南事无巨细地给予商家运营指导。 6、AMZBase (图片来源:AMZBase) AMZBase是一个免费的谷歌浏览器插件,以帮助亚马逊商家正确地选品。 你可以选择AMZBase 的理由: • 帮助获取亚马逊产品ASIN编码与listing标题描述。 • 免费访问CamelCamelCamel、阿里巴巴、全球速卖通、eBay和谷歌搜索。 • 可通过自动计算FBA费用确定预期利润。 • 一站式即时搜索工具,搜索谷歌及阿里巴巴上的相关产品。 • 只需选择关键字即可立即搜索。 • 使用AMZBase前,请将谷歌浏览器升级至最新版本。 7、Unicorn Smasher (图片来源:Unicorn Smasher) Unicorn Smasher是AmzTracker旗下产品,可以节省商家在亚马逊上的选品时间,帮助卖家更好地了解亚马逊上各个产品的定价、排名、评论和销售额。 你可以选择Unicorn Smasher的理由: • 简单、易操作的仪表盘界面,助力完成选品数据抓取。 • 根据亚马逊listing中的实时数据,获得每月的预估销售额。 • 保存商家或可节省511美元 8、Keepa (图片来源:Keepa) Keepa也是一个浏览器插件,也适用于其它所有主流浏览器。只需安装该插件,所有功能随即可全部免费使用。 你可以选择Keepa的理由: 一个免费的亚马逊产品搜索工具,具有深度数据筛选功能。 显示降价和可用性提醒的价格历史图表。 可在亚马逊上比较不同地区的价格。 可以依据价格高点下跌查询任一品类的近期交易。 可通过通知和愿望列表来进行数据跟踪。 9、ASINspector (图片来源:ASINspector) ASINspector是一个免费的谷歌插件,助力商家成为亚马逊上的专业人士。该工具不仅可以抓取利好产品信息,还能让商家以低价拿下供应商,从而获得较大利润。 你可以选择ASINspector的理由: 可提供预估销售和实时利润情况等数据。 使用AccuSales™数据分析引擎可节省选品时间。 挖掘利好产品想法,并可以红色、绿色和黄色进行标记。 用利润计算器查看决定产品是否存在合理利润空间。 与任一国家的任一亚马逊平台无缝衔接。 10、AMZScout AMZScout是卖家常用的亚马逊工具之一。 你可以选择AMZScout的理由: 访问产品数据库,查找热门新产品。 通过AMZSscout提供的培训课程提高销售技巧。 在任何国家/地区搜索国际供应商并以建立自己的品牌。 监控竞争对手的关键字、销售、定价等。 只需点击3次即可轻松安装,有中文版。 黑五福利:三五折优惠获完整工具集合,可节省511美元【点击此处】 11、 PickFu PickFu是一款亚马逊A/B测试工具,也是一个可以获取消费者问卷调查的平台。 你可以选择PickFu的理由: • 真实的美国消费者反馈 • 几分钟即可在线完成问卷调研 • 商品设计、图片、描述等及时反馈 • 精准的目标群众和属性划分 • 中文客服支持 【点击此处】获取网一福利:预购积分享8折 这11大效率型亚马逊工具已介绍完毕,相信你已经有了心仪的选择了!快去实践一下,试试看吧! (来源:AMZ实战) 以上内容仅代表作者本人观点,不代表LIKE.TG立场!如有关于作品内容、版权或其它问题请于作品发表后的30日内与LIKE.TG取得联系。 *上述文章存在营销推广内容(广告)本文转载自:https://www.cifnews.com/search/article?keyword=工具
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1-4月美国电商支出3316亿美元,消费者转向低价商品
1-4月美国电商支出3316亿美元,消费者转向低价商品
AMZ123 获悉,日前,据外媒报道,Adobe Analytics 的数据显示,2024 年前四个月美国电商增长强劲,同比增长 7%,达到 3316 亿美元。据了解,Adobe Analytics 对美国在线交易数据进行了分析,涵盖美国零售网站的一万亿次访问、1 亿个 SKU 和 18 个产品类别。2024 年 1 月 1 日至 4 月 30 日,美国在线支出达 3316 亿美元,同比增长 7%,得益于电子产品、服装等非必需品的稳定支出以及在线杂货购物的持续激增。Adobe 预计,2024 年上半年在线支出将超过 5000 亿美元,同比增长 6.8%。今年前四个月,美国消费者在线上消费电子产品 618 亿美元(同比增长 3.1%),服装 525 亿美元(同比增长 2.6%)。尽管增幅较小,但这两个类别占电商总支出的 34.5%,帮助保持了营收增长。同时,杂货进一步推动了增长,在线支出达 388 亿美元,同比增长 15.7%。Adobe 预计,未来三年内,该类别将成为电商市场的主导力量,其收入份额与电子产品和服装相当。另一个在线支出费增长较快的类别是化妆品,该类别在 2023 年带来了 350 亿美元的在线消费,同比增长 15.6%。而这一上升趋势仍在继续,截至 4 月 30 日,2024 年美国消费者在化妆品上的在线支出为 132 亿美元,同比增长 8%。此外,数月持续的通货膨胀导致消费者在多个主要类别中购买更便宜的商品。Adobe 发现,个人护理(增长 96%)、电子产品(增长 64%)、服装(增长 47%)、家居/花园(增长 42%)、家具/床上用品(增长 42%)和杂货(增长 33%)等类别的低价商品份额均大幅增加。具体而言,在食品杂货等类别中,低通胀商品的收入增长 13.4%,而高通胀商品的收入下降 15.6%。在化妆品等类别中,影响相对较弱,低通胀商品的收入增长 3.06%,高通胀商品的收入仅下降 0.34%,主要由于消费者对自己喜欢的品牌表现出了更强的忠诚度。而体育用品(增长 28%)、家电(增长 26%)、工具/家装(增长 26%)和玩具(增长 25%)等类别的低价商品份额增幅均较小,这些类别的增幅也主要受品牌忠诚度影响,同时消费者更倾向于购买最高品质的此类产品。此外,“先买后付”(BNPL)支付方式在此期间也出现了持续增长。2024 年 1 月至 4 月,BNPL 推动了 259 亿美元的电商支出,较去年同期大幅增长 11.8%。Adobe 预计,BNPL 将在 2024 年全年推动 810 亿至 848 亿美元的支出,同比增长 8% 至 13%。
12月波兰社媒平台流量盘点,TikTok追赶Instagram
12月波兰社媒平台流量盘点,TikTok追赶Instagram
AMZ123 获悉,近日,市场分析机构 Mediapanel 公布了 2023 年 12 月波兰主流社交平台的最新用户统计数据。受 TikTok 的打击,Pinterest、Facebook 和 Instagram 的用户数量出现下降。根据 Mediapanel 的数据,截至 2023 年 12 月,TikTok 是波兰第三大社交媒体平台,拥有超过 1378 万用户,相当于波兰 46.45% 的互联网用户。排在 TikTok 之前的是 Facebook 和 Instagram,其中 Facebook 拥有超过 2435 万用户,相当于波兰 82.06% 的互联网用户;Instagram 则拥有超过 1409 万用户,相当于波兰 47.47% 的互联网用户。在用户使用时长方面,TikTok 排名第一。2023 年 12 月,TikTok 用户的平均使用时长为 17 小时 18 分钟 42 秒。Facebook 用户的平均使用时长为 15 小时 36 分钟 38 秒,位居第二。其次是 Instagram,平均使用时长为 5 小时 2 分钟 39 秒。与 11 月相比,12 月 Facebook 减少了 58.84 万用户(下降 2.4%),但其用户平均使用时间增加了 32 分钟 50 秒(增长 3.6%)。Instagram 流失了 25.9 万用户(下降 1.8%),但其用户平均使用时间增加了 15 分钟(增长 5.2%)。虽然 TikTok 的用户数量略有增长(增长 8.85 万,即 0.6%),但其用户平均使用时间减少了 47 分钟(减少 4.3%)。12 月份,波兰其他主流社交媒体平台的用户数据(与 11 月相比):X 增加了 39.64 万用户(增长 4.8%),用户平均使用时间增加了 6 分钟 19 秒(增长 9.3%);Pinterest 增加了 23.02 万用户(增长 3.5%),用户平均使用时间增加了 7 分钟 9 秒(增长 16.1%);Snapchat 则增加了 9.04 万用户(增长 1.8%),用户平均使用时间增加了 23 秒(增长 0.2%);LinkedIn 流失了 27.69 万用户(下降 6.2%),用户平均使用时间减少了 1 分钟 36 秒(下降 11.7%);Reddit 流失了 18.6 万用户(下降 7.1%),用户平均使用时间减少了 1 分钟 27 秒(下降 11.6%)。
178W应用、3700W注册开发者,图表详解苹果首个App Store数据透明度报告
178W应用、3700W注册开发者,图表详解苹果首个App Store数据透明度报告
近日,苹果发布 2022 年 App Store 透明度报告,展示了 App Store 在 175 个国家和地区运营的数据,包括在线/下架应用数量、提审被拒应用数量、每周访问量、搜索量等。为帮助开发者快速了解 App Store 新发布的各项数据情况,在本篇内容中,AppStare 拆解了各项数据,为开发者提供直观展示,可供参考。app 数据App Store 在线及下架 app 数量报告显示,2022 年,App Store 中在线 app 总数量超 178 万(1,783,232),从 App Store 下架的 app 数量超 18 万(186,195)。提交审核及被拒的 app 数量共有超 610 万(6,101,913)款 app 提交到 App Store 进行审核,其中近 168 万(1,679,694)款 app 提审被拒,占比 27.53%,审核拒绝的主要原因包括性能问题、违反当地法律、不符合设计规范等。此外,提审被拒后再次提交并通过审核的 app 数量超 25 万(253,466),占比 15.09%。不同原因提审被拒的 app 数量app 提审被 App Store 审核指南拒绝的原因包括 app 性能问题、违反当地法律、不符合设计规范、业务问题、存在安全风险及其他六大模块。从上图可见,性能问题是 app 提审被拒的最大原因,超 101 万(1,018,415)款 app 因此被 App Store 审核指南拒绝,占比达 50.98%。建议开发者在 app 提审前,针对 App Store 审核指南再做详细的自我审查,提升通过可能。从 App Store 下架的 app Top 10 分类2022 年,App Store 下架超 18 万(186,195)款 app,其中游戏类 app 是下架次数最多的应用类别,超 3.8 万(38,883)款,占比 20.88%,其次为 工具类 app,共下架 2 万(20,045)款,占比 10.77%。中国大陆下架 app 品类 top 10在中国大陆地区,下架 app 总计超 4 万(41,238)款。工具类 app 是下架数量最多的 app 子品类,达 9,077 款,占比 22.01%,其次为游戏类 app,下架 6,173 款,占比 14.97%。被下架后申诉的 app 数量在 175 个国家/地区中,被下架后申诉的 app 数量总计超 1.8 万(18,412)款。中国大陆下架后申诉的 app 数量最多,达 5,484 款,占比 29.78%。申诉后恢复上架的 app 数量申诉后恢复上架的 app 数量总计为 616 款,其中中国大陆申诉后恢复上架的 app 最多,为 169 款,占中国大陆下架后申诉 app 数量(5,484)的 3.08%。开发者数据注册苹果开发者总数近 3700 万(36,974,015),被终止开发者账户数量近 43 万(428,487),占比 1.16%。其中,开发者账户因违反开发者计划许可协议(DPLA)而被终止的主要原因分别有欺诈(428,249)、出口管制(238)等。被终止后申诉的开发者账户数量为 3,338,被终止后申诉并恢复的开发者账户数量为 159,占比 4.76%。用户数据在用户方面,平均每周访问 App Store 的用户数超 6.56 亿(656,739,889)。2022 年,App Store 终止用户账户数量超 2.82 亿(282,036,628)。值得注意的是,App Store 还阻止了金额超 $20.9亿($2,090,195,480)的欺诈交易。在用户 app 下载方面,平均每周下载 app 数量超 7.47 亿(747,873,877),平均每周重新下载 app 数量超 15.39 亿(1,539,274,266),是前者的 2 倍。因此,建议开发者多加重视对回访用户的唤醒,相关推广策略的制定可能起到较为理想的效果。在 app 更新方面,平均每周自动更新 app 数量超 408 亿(40,876,789,492),平均每周手动更新 app 数量超 5 亿(512,545,816)。可见,用户在 app 更新问题上更偏向依赖自动更新。搜索数据平均每周在 App Store 搜索的用户数超 3.73 亿(373,211,396),App Store 的高质流量有目共睹。在至少 1000 次搜索中出现在搜索结果前 10 名的 app 总数近 140 万(1,399,741),平均每周出现在至少 1000 次搜索结果前 10 名的 app 数量 近 20 万(197,430)。除了通过元数据优化等操作提升 app 的搜索排名外,Apple Search Ads 也是帮助开发者提升 app 曝光和下载的重要渠道。
全球大数据
   探索Discord注册的多重用途
探索Discord注册的多重用途
在当今数字化时代,社交网络平台是人们沟通、分享和互动的重要场所。而Discord作为一款功能强大的聊天和社交平台,正吸引着越来越多的用户。那么,Discord注册可以用来做什么呢?让我们来探索它的多重用途。 首先,通过Discord注册,您可以加入各种兴趣群组和社区,与志同道合的人分享共同的爱好和话题。不论是游戏、音乐、电影还是科技,Discord上有无数个群组等待着您的加入。您可以与其他成员交流、参与讨论、组织活动,结识新朋友并扩大自己的社交圈子。 其次,Discord注册也为个人用户和团队提供了一个协作和沟通的平台。无论您是在学校、工作场所还是志愿组织,Discord的群组和频道功能使得团队成员之间可以方便地分享文件、讨论项目、安排日程,并保持密切的联系。它的语音和视频通话功能还能让远程团队更好地协同工作,提高效率。 对于商业用途而言,Discord注册同样具有巨大潜力。许多品牌和企业已经认识到了Discord作为一个与年轻受众互动的渠道的重要性。通过创建自己的Discord服务器,您可以与客户和粉丝建立更紧密的联系,提供独家内容、产品促销和用户支持。Discord还提供了一些商业工具,如机器人和API,帮助您扩展功能并提供更好的用户体验。 总结起来,Discord注册不仅可以让您加入各种兴趣群组和社区,享受与志同道合的人交流的乐趣,还可以为个人用户和团队提供协作和沟通的平台。对于品牌和企业而言,Discord也提供了与受众互动、推广产品和提供用户支持的机会。所以,赶紧注册一个Discord账号吧,开启多重社交和商业可能性的大门! -->
  商海客discord群发软件:开启营销革命的利器
商海客discord群发软件
开启营销革命的利器
商海客discord群发软件作为一款前沿的营销工具,以其独特的特点和出色的功能,在商业领域掀起了一场营销革命。它不仅为企业带来了全新的营销方式,也为企业创造了巨大的商业价值。 首先,商海客discord群发软件以其高效的群发功能,打破了传统营销方式的束缚。传统营销常常面临信息传递效率低、覆盖范围有限的问题。而商海客discord群发软件通过其强大的群发功能,可以将信息迅速传递给大量的目标受众,实现广告的精准推送。不论是产品推广、品牌宣传还是促销活动,商海客discord群发软件都能帮助企业快速触达潜在客户,提高营销效果。 其次,商海客discord群发软件提供了丰富的营销工具和功能,为企业的营销活动增添了更多的可能性。商海客discord群发软件支持多种媒体形式的推送,包括文本、图片、音频和视频等。企业可以根据自身需求,定制个性化的消息内容和推广方案,以吸引目标受众的注意。此外,商海客discord群发软件还提供了数据分析和统计功能,帮助企业了解营销效果,进行精细化的调整和优化。 最后,商海客discord群发软件的用户体验和易用性也为企业带来了便利。商海客discord群发软件的界面简洁明了,操作简单易懂,即使对于非技术人员也能够快速上手。商海客discord群发软件还提供了稳定的技术支持和优质的客户服务,确保用户在使用过程中能够获得及时的帮助和解决问题。 -->
 Discord|海外社媒营销的下一个风口?
Discord|海外社媒营销的下一个风口?
Discord这个软件相信打游戏的各位多少都会有点了解。作为功能上和YY相类似的语音软件,已经逐渐成为各类游戏玩家的青睐。在这里你可以创建属于自己的频道,叫上三五个朋友一起开黑,体验线上五连坐的游戏体验。但Discord可不是我们口中说的美国版YY这么简单。 Discord最初是为了方便人们交流而创立的应用程序。游戏玩家、电影迷和美剧迷、包括NFT创作者和区块链项目都在Discord上装修起一个个属于自己的小家。而在互联网的不断发展中,Discord现如今已经发展成为一种高效的营销工具,其强大的社区的功能已远不止语音交谈这一单一功能了。本文我们将结合市场营销现有的一些概念,带你领略Discord背后的无穷价值。 初代海外社媒营销: 当我们谈及Marketing市场营销,我们大多能想到的就是广告,以广告投放去获得较为多的转化为最终目的。但随着公众利益的变化,市场营销的策略也在不断改变。社交媒体类别的营销是现在更多品牌更为看重的一块流量池。我们可以选择付费营销,当然也可以选择不付费,这正式大多数的品牌所处的阶段。如国内的微博,抖音。又好比海外的Facebook, Instagram等。 但是,当我们深入地了解这些社交媒体的算法时不难发现。人们经常会错过我们的内容,又或者在看到这是一个广告之后就选择离开,其推广的触达率并不显著。其原因其实和初代社交媒体的属性分不开。 我们来打个比方:当你在YouTube上看着喜爱的博主视频,YouTube突然暂停了你的视频,给你插入了品牌方的广告。试问你的心情如何?你会选择安心看完这个广告,对其推广的产品产生了兴趣。还是想尽一切办法去关掉这个烦人的广告?而在不付费的内容上:你更喜欢看那些能娱乐你,充实你生活的内容。还是选择去看一个可能和你毫不相干的品牌贴文?在大数据的加持下,品牌方可能绞尽脑汁的想去获得你这个用户。但选择权仍就在用户手上,用户选择社交媒体的原因更多是为了娱乐和社交。我们也不愿意和一个个客气的“品牌Logo”去对话。 Discord是如何改变营销世界的? Discord又有什么不一样呢?你觉的他的营销手段就像发Email一样,给你特定的社群发送一组消息?谈到Email,这里要插一嘴。其触达率表现也并不优异,你发送的重要通告,新闻稿,打折促销。都有可能在用户还未浏览收之前就已经进了垃圾箱,又或者是和其他数百封未读邮件中等待着缘分的到来。 其实Discord的频道属性很美妙的化解了社交媒体现在的窘境,我们再来打个比方:比如你很喜欢篮球,因此你进入到了这个Discord篮球频道。而在这个频道里又包含了中锋,前锋,后卫这些细分频道。后卫又细分到了控球后卫,得分后卫。但总的来说,这个频道的用户都是喜欢篮球的群体。Discord的属性也拉近了品牌和用户的距离,你们不再是用户和一个个官方的“品牌Logo”对话。取而代之的则是一个个亲近感十足的好兄弟。直播带货中的“家人们”好像就是这一形式哈哈。 因此在Discord 上你可以针对不同频道发送不同的公告消息,使目标用户能够及时获得你的任何更新。他可不像电子邮件一样,淹没在一堆未读邮件中,也不会像社媒贴文一样被忽视。更精准的去区分不同的目标受众这一独特性也注定了Discord Marketing的强大功能。 Discord拓展属性: 自Facebook更名Meta等一系列动作下,2021年被世人称为元宇宙元年。在这一大背景下,更多的社交媒体开始逐渐向元宇宙靠拢。Twitter逐渐成为各类项目方的首选宣发媒体。Discord的属性也被更多项目方所发现,现如今Discord已被广泛运用在区块链领域。Discord事实上已经成为加密货币社区的最大聚集地,学习使用Discord也已经成为了圈内最入门技能。随着未来大量的区块链项目的上线Discord也将获得更加直接的变现手段。 Discord的各类载体已经数不胜数,区块链、游戏开黑、公司办公软件、线上教课。Discord是否能成为海外社媒的下一个风口?还是他已经成为了?这个不是我们能说了算的,但甭管你是想做品牌推广,还是单纯的就想酣畅漓淋的和朋友一起开个黑。选择Discord都是一个不错的选择。 -->
社交媒体

                    100+ Instagram Stats You Need to Know in 2024
100+ Instagram Stats You Need to Know in 2024
It feels like Instagram, more than any other social media platform, is evolving at a dizzying pace. It can take a lot of work to keep up as it continues to roll out new features, updates, and algorithm changes. That‘s where the Instagram stats come in. There’s a lot of research about Instagram — everything from its users' demographics, brand adoption stats, and all the difference between micro and nano influencers. I use this data to inform my marketing strategies and benchmark my efforts. Read on to uncover more social media stats to help you get ideas and improve your Instagram posting strategy. 80+ Instagram Stats Click on a category below to jump to the stats for that category: Instagram's Growth Instagram User Demographics Brand Adoption Instagram Post Content Instagram Posting Strategy Instagram Influencer Marketing Statistics Instagram's Growth Usage 1. Instagram is expected to reach 1.44 billion users by 2025. (Statista) 2. The Instagram app currently has over 1.4 billion monthly active users. (Statista) 3. U.S. adults spend an average of 33.1 minutes per day on Instagram in 2024, a 3-minute increase from the year before. (Sprout Social) 4. Instagram ad revenue is anticipated to reach $59.61 billion in 2024. (Oberlo) 5. Instagram’s Threads has over 15 Million monthly active users. (eMarketer) 6. 53.7% of marketers plan to use Instagram reels for influencer marketing in 2024. (eMarketer) 7. 71% of marketers say Instagram is the platform they want to learn about most. (Skillademia) 8. There are an estimated 158.4 million Instagram users in the United States in 2024. (DemandSage) 9. As of January 2024, India has 362.9 million Instagram users, the largest Instagram audience in the world. (Statista) 10. As of January 2024, Instagram is the fourth most popular social media platform globally based on monthly active users. Facebook is first. YouTube and WhatsApp rank second and third. (Statista) https://youtu.be/EyHV8aZFWqg 11. Over 400 million Instagram users use the Stories feature daily. (Keyhole) 12. As of April 2024, the most-liked post on Instagram remains a carousel of Argentine footballer Lionel Messi and his teammates celebrating the 2022 FIFA World Cup win. (FIFA) 13. The fastest-growing content creator on Instagram in 2024 is influencer Danchmerk, who grew from 16k to 1.6 Million followers in 8 months. (Instagram) 14. The most-followed Instagram account as of March 2024 is professional soccer player Cristiano Ronaldo, with 672 million followers. (Forbes) 15. As of April 2024, Instagram’s own account has 627 million followers. (Instagram) Instagram User Demographics 16. Over half of the global Instagram population is 34 or younger. (Statista) 17. As of January 2024, almost 17% of global active Instagram users were men between 18 and 24. (Statista) 18. Instagram’s largest demographics are Millennials and Gen Z, comprising 61.8% of users in 2024. (MixBloom) 19. Instagram is Gen Z’s second most popular social media platform, with 75% of respondents claiming usage of the platform, after YouTube at 80%. (Later) 20. 37.74% of the world’s 5.3 billion active internet users regularly access Instagram. (Backlinko) 21. In January 2024, 55% of Instagram users in the United States were women, and 44% were men. (Statista) 22. Only 7% of Instagram users in the U.S. belong to the 13 to 17-year age group. (Statista) 23. Only 5.7% of Instagram users in the U.S. are 65+ as of 2024. (Statista) 24. Only 0.2% of Instagram users are unique to the platform. Most use Instagram alongside Facebook (80.8%), YouTube (77.4%), and TikTok (52.8%). (Sprout Social) 25. Instagram users lean slightly into higher tax brackets, with 47% claiming household income over $75,000. (Hootsuite) 26. Instagram users worldwide on Android devices spend an average of 29.7 minutes per day (14 hours 50 minutes per month) on the app. (Backlinko) 27. 73% of U.S. teens say Instagram is the best way for brands to reach them. (eMarketer) 28. 500 million+ accounts use Instagram Stories every day. (Facebook) 29. 35% of music listeners in the U.S. who follow artists on Facebook and Instagram do so to connect with other fans or feel like part of a community. (Facebook) 30. The average Instagram user spends 33 minutes a day on the app. (Oberlo) 31. 45% of people in urban areas use Instagram, while only 25% of people in rural areas use the app. (Backlinko) 32. Approximately 85% of Instagram’s user base is under the age of 45. (Statista) 33. As of January 2024, the largest age group on Instagram is 18-24 at 32%, followed by 30.6% between ages 25-34. (Statista) 34. Globally, the platform is nearly split down the middle in terms of gender, with 51.8% male and 48.2% female users. (Phyllo) 35. The numbers differ slightly in the U.S., with 56% of users aged 13+ being female and 44% male. (Backlinko) 36. As of January 2024, Instagram is most prevalent in India, with 358.55 million users, followed by the United States (158.45 million), Brazil (122.9 million), Indonesia (104.8 million), and Turkey (56.7 million). (Backlinko) 37. 49% of Instagram users are college graduates. (Hootsuite) 38. Over 1.628 Billion Instagram users are reachable via advertising. (DataReportal) 39. As of January 2024, 20.3% of people on Earth use Instagram. (DataReportal) Brand Adoption 40. Instagram is the top platform for influencer marketing, with 80.8% of marketers planning to use it in 2024. (Sprout Social) 41. 29% of marketers plan to invest the most in Instagram out of any social media platform in 2023. (Statista) 42. Regarding brand safety, 86% of marketers feel comfortable advertising on Instagram. (Upbeat Agency) 43. 24% of marketers plan to invest in Instagram, the most out of all social media platforms, in 2024. (LIKE.TG) 44. 70% of shopping enthusiasts turn to Instagram for product discovery. (Omnicore Agency) 45. Marketers saw the highest engagement rates on Instagram from any other platform in 2024. (Hootsuite) 46. 29% of marketers say Instagram is the easiest platform for working with influencers and creators. (Statista) 47. 68% of marketers reported that Instagram generates high levels of ROI. (LIKE.TG) 48. 21% of marketers reported that Instagram yielded the most significant ROI in 2024. (LIKE.TG) 49. 52% of marketers plan to increase their investment in Instagram in 2024. (LIKE.TG) 50. In 2024, 42% of marketers felt “very comfortable” advertising on Instagram, and 40% responded “somewhat comfortable.” (LIKE.TG) 51. Only 6% of marketers plan to decrease their investment in Instagram in 2024. (LIKE.TG) 52. 39% of marketers plan to leverage Instagram for the first time in 2024. (LIKE.TG) 53. 90% of people on Instagram follow at least one business. (Instagram) 54. 50% of Instagram users are more interested in a brand when they see ads for it on Instagram. (Instagram) 55. 18% of marketers believe that Instagram has the highest growth potential of all social apps in 2024. (LIKE.TG) 56. 1 in 4 marketers say Instagram provides the highest quality leads from any social media platform. (LIKE.TG) 57. Nearly a quarter of marketers (23%) say that Instagram results in the highest engagement levels for their brand compared to other platforms. (LIKE.TG) 58. 46% of marketers leverage Instagram Shops. Of the marketers who leverage Instagram Shops, 50% report high ROI. (LIKE.TG) 59. 41% of marketers leverage Instagram Live Shopping. Of the marketers who leverage Instagram Live Shopping, 51% report high ROI. (LIKE.TG) 60. Education and Health and Wellness industries experience the highest engagement rates. (Hootsuite) 61. 67% of users surveyed have “swiped up” on the links of branded Stories. (LIKE.TG) 62. 130 million Instagram accounts tap on a shopping post to learn more about products every month. (Omnicore Agency) Instagram Post Content 63. Engagement for static photos has decreased by 44% since 2019, when Reels debuted. (Later) 64. The average engagement rate for photo posts is .059%. (Social Pilot) 65. The average engagement rate for carousel posts is 1.26% (Social Pilot) 66. The average engagement rate for Reel posts is 1.23% (Social Pilot) 67. Marketers rank Instagram as the platform with the best in-app search capabilities. (LIKE.TG) 68. The most popular Instagram Reel is from Samsung and has over 1 billion views. (Lifestyle Asia) 69. Marketers rank Instagram as the platform with the most accurate algorithm, followed by Facebook. (LIKE.TG) 70. A third of marketers say Instagram offers the most significant ROI when selling products directly within the app. (LIKE.TG) 71. Instagram Reels with the highest engagement rates come from accounts with fewer than 5000 followers, with an average engagement rate of 3.79%. (Social Pilot) 72. A third of marketers say Instagram offers the best tools for selling products directly within the app. (LIKE.TG) 73. Over 100 million people watch Instagram Live every day. (Social Pilot) 74. 70% of users watch Instagram stories daily. (Social Pilot) 75. 50% of people prefer funny Instagram content, followed by creative and informative posts. (Statista) 76. Instagram Reels are the most popular post format for sharing via DMs. (Instagram) 77. 40% of Instagram users post stories daily. (Social Pilot) 78. An average image on Instagram gets 23% more engagement than one published on Facebook. (Business of Apps) 79. The most geo-tagged city in the world is Los Angeles, California, and the tagged location with the highest engagement is Coachella, California. (LIKE.TG) Instagram Posting Strategy 80. The best time to post on Instagram is between 7 a.m. and 9 a.m. on weekdays. (Social Pilot) 81. Posts with a tagged location result in 79% higher engagement than posts without a tagged location. (Social Pilot) 82. 20% of users surveyed post to Instagram Stories on their business account more than once a week. (LIKE.TG) 83. 44% of users surveyed use Instagram Stories to promote products or services. (LIKE.TG) 84. One-third of the most viewed Stories come from businesses. (LIKE.TG) 85. More than 25 million businesses use Instagram to reach and engage with audiences. (Omnicore Agency) 86. 69% of U.S. marketers plan to spend most of their influencer budget on Instagram. (Omnicore Agency) 87. The industry that had the highest cooperation efficiency with Instagram influencers was healthcare, where influencer posts were 4.2x more efficient than brand posts. (Emplifi) 88. Instagram is now the most popular social platform for following brands. (Marketing Charts) Instagram Influencer Marketing Statistics 89. Instagram is the top platform for influencer marketing, with 80.8% of marketers planning to use the platform for such purposes in 2024 (Oberlo) 90. Nano-influencers (1,000 to 10,000 followers) comprise most of Instagram’s influencer population, at 65.4%. (Statista) 91. Micro-influencers (10,000 to 50,000 followers) account for 27.73% (Socially Powerful) 92. Mid-tier influencers (50,000 to 500,000 followers) account for 6.38% (Socially Powerful) 93. Nano-influencers (1,000 to 10,000 followers) have the highest engagement rate at 5.6% (EmbedSocial) 94. Mega-influencers and celebrities with more than 1 million followers account for 0.23%. (EmbedSocial) 95. 77% of Instagram influencers are women. (WPBeginner) 96. 30% of markers say that Instagram is their top channel for ROI in influencer marketing (Socially Powerful) 97. 25% of sponsored posts on Instagram are related to fashion (Socially Powerful) 98. The size of the Instagram influencer marketing industry is expected to reach $22.2 billion by 2025. (Socially Powerful) 99. On average, Instagram influencers charge $418 for a sponsored post in 2024, approximately 15.17%​​​​​​​ higher than in 2023. (Collabstr) 100. Nano-influencers charge between $10-$100 per Instagram post. (ClearVoice) 101. Celebrities and macro influencers charge anywhere from $10,000 to over $1 million for a single Instagram post in 2024. (Shopify) 102. Brands can expect to earn $4.12 of earned media value for each $1 spent on Instagram influencer marketing. (Shopify) The landscape of Instagram is vast and ever-expanding. However, understanding these key statistics will ensure your Instagram strategy is well-guided and your marketing dollars are allocated for maximum ROI. There’s more than just Instagram out there, of course. So, download the free guide below for the latest Instagram and Social Media trends.

                    130 Instagram Influencers You Need To Know About in 2022
130 Instagram Influencers You Need To Know About in 2022
In 2021, marketers that used influencer marketing said the trend resulted in the highest ROI. In fact, marketers have seen such success from influencer marketing that 86% plan to continue investing the same amount or increase their investments in the trend in 2022. But, if you’ve never used an influencer before, the task can seem daunting — who’s truly the best advocate for your brand? Here, we’ve cultivated a list of the most popular influencers in every industry — just click on one of the links below and take a look at the top influencers that can help you take your business to the next level: Top Food Influencers on Instagram Top Travel Influencers on Instagram Top Fashion Style Influencers on Instagram Top Photography Influencers on Instagram Top Lifestyle Influencers on Instagram Top Design Influencers on Instagram Top Beauty Influencers on Instagram Top Sport Fitness Influencers on Instagram Top Influencers on Instagram Top Food Influencers on Instagram Jamie Oliver (9.1M followers) ladyironchef (620k followers) Megan Gilmore (188k followers) Ashrod (104k followers) David Chang (1.7M followers) Ida Frosk (299k followers) Lindsey Silverman Love (101k followers) Nick N. (60.5k followers) Molly Tavoletti (50.1k followers) Russ Crandall (39.1k followers) Dennis the Prescott (616k followers) The Pasta Queen (1.5M followers) Thalia Ho (121k followers) Molly Yeh (810k followers) C.R Tan (59.4k followers) Michaela Vais (1.2M followers) Nicole Cogan (212k followers) Minimalist Baker (2.1M followers) Yumna Jawad (3.4M followers) Top Travel Influencers on Instagram Annette White (100k followers) Matthew Karsten (140k followers) The Points Guy (668k followers) The Blonde Abroad (520k followers) Eric Stoen (330k followers) Kate McCulley (99k followers) The Planet D (203k followers) Andrew Evans (59.9k followers) Jack Morris (2.6M followers) Lauren Bullen (2.1M followers) The Bucket List Family (2.6M followers) Fat Girls Traveling (55K followers) Tara Milk Tea (1.3M followers) Top Fashion Style Influencers on Instagram Alexa Chung (5.2M followers) Julia Berolzheimer (1.3M followers) Johnny Cirillo (719K followers) Chiara Ferragni (27.2M followers) Jenn Im (1.7M followers) Ada Oguntodu (65.1k followers) Emma Hill (826k followers) Gregory DelliCarpini Jr. (141k followers) Nicolette Mason (216k followers) Majawyh (382k followers) Garance Doré (693k followers) Ines de la Fressange (477k followers) Madelynn Furlong (202k followers) Giovanna Engelbert (1.4M followers) Mariano Di Vaio (6.8M followers) Aimee Song (6.5M followers) Danielle Bernstein (2.9M followers) Gabi Gregg (910k followers) Top Photography Influencers on Instagram Benjamin Lowy (218k followers) Michael Yamashita (1.8M followers) Stacy Kranitz (101k followers) Jimmy Chin (3.2M followers) Gueorgui Pinkhassov (161k followers) Dustin Giallanza (5.2k followers) Lindsey Childs (31.4k followers) Edith W. Young (24.9k followers) Alyssa Rose (9.6k followers) Donjay (106k followers) Jeff Rose (80.1k followers) Pei Ketron (728k followers) Paul Nicklen (7.3M followers) Jack Harries (1.3M followers) İlhan Eroğlu (852k followers) Top Lifestyle Influencers on Instagram Jannid Olsson Delér (1.2 million followers) Oliver Proudlock (691k followers) Jeremy Jacobowitz (434k followers) Jay Caesar (327k followers) Jessie Chanes (329k followers) Laura Noltemeyer (251k followers) Adorian Deck (44.9k followers) Hind Deer (547k followers) Gloria Morales (146k followers) Kennedy Cymone (1.6M followers) Sydney Leroux Dwyer (1.1M followers) Joanna Stevens Gaines (13.6M followers) Lilly Singh (11.6M followers) Rosanna Pansino (4.4M followers) Top Design Influencers on Instagram Marie Kondo (4M followers) Ashley Stark Kenner (1.2M followers) Casa Chicks (275k followers) Paulina Jamborowicz (195k followers) Kasia Będzińska (218k followers) Jenni Kayne (500k followers) Will Taylor (344k followers) Studio McGee (3.3M followers) Mandi Gubler (207k followers) Natalie Myers (51.6k followers) Grace Bonney (840k followers) Saudah Saleem (25.3k followers) Niña Williams (196k followers) Top Beauty Influencers on Instagram Michelle Phan (1.9M followers) Shaaanxo (1.3M followers) Jeffree Star (13.7M followers) Kandee Johnson (2M followers) Manny Gutierrez (4M followers) Naomi Giannopoulos (6.2M followers) Samantha Ravndahl (2.1M followers) Huda Kattan (50.5M followers) Wayne Goss (703k followers) Zoe Sugg (9.3M followers) James Charles (22.9M followers) Shayla Mitchell (2.9M followers) Top Sport Fitness Influencers on Instagram Massy Arias (2.7M followers) Eddie Hall (3.3M followers) Ty Haney (92.6k followers) Hannah Bronfman (893k followers) Kenneth Gallarzo (331k followers) Elisabeth Akinwale (113k followers) Laura Large (75k followers) Akin Akman (82.3k followers) Sjana Elise Earp (1.4M followers) Cassey Ho (2.3M followers) Kayla Itsines (14.5M followers) Jen Selter (13.4M followers) Simeon Panda (8.1M followers) Top Instagram InfluencersJamie OliverDavid ChangJack Morris and Lauren BullenThe Bucket List FamilyChiara FerragniAlexa ChungJimmy ChinJannid Olsson DelérGrace BonneyHuda KattanZoe SuggSjana Elise EarpMassy Arias 1. Jamie Oliver Jamie Oliver, a world-renowned chef and restaurateur, is Instagram famous for his approachable and delicious-looking cuisine. His page reflects a mix of food pictures, recipes, and photos of his family and personal life. His love of beautiful food and teaching others to cook is clearly evident, which must be one of the many reasons why he has nearly seven million followers. 2. David Chang Celebrity chef David Chang is best known for his world-famous restaurants and big personality. Chang was a judge on Top Chef and created his own Netflix show called Ugly Delicious, both of which elevated his popularity and likely led to his huge followership on Instagram. Most of his feed is filled with food videos that will make you drool. View this post on Instagram 3. Jack Morris and Lauren Bullen Travel bloggers Jack Morris (@jackmorris) and Lauren Bullen (@gypsea_lust)have dream jobs -- the couple travels to some of the most beautiful places around the world and documents their trips on Instagram. They have developed a unique and recognizable Instagram aesthetic that their combined 4.8 million Instagram followers love, using the same few filters and posting the most striking travel destinations. View this post on Instagram 4. The Bucket List Family The Gee family, better known as the Bucket List Family, travel around the world with their three kids and post videos and images of their trips to YouTube and Instagram. They are constantly sharing pictures and stories of their adventures in exotic places. This nomad lifestyle is enjoyed by their 2.6 million followers. View this post on Instagram 5. Chiara Ferragni Chiara Ferragni is an Italian fashion influencer who started her blog The Blonde Salad to share tips, photos, and clothing lines. Ferragni has been recognized as one of the most influential people of her generation, listed on Forbes’ 30 Under 30 and the Bloglovin’ Award Blogger of the Year. 6. Alexa Chung Model and fashion designer Alexa Chung is Instagram famous for her elegant yet charming style and photos. After her modeling career, she collaborated with many brands like Mulberry and Madewell to create her own collection, making a name for herself in the fashion world. Today, she shares artistic yet fun photos with her 5.2 million Instagram followers. 7. Jimmy Chin Jimmy Chin is an award-winning professional photographer who captures high-intensity shots of climbing expeditions and natural panoramas. He has won multiple awards for his work, and his 3.2 million Instagram followers recognize him for his talent. 8. Jannid Olsson Delér Jannid Olsson Delér is a lifestyle and fashion blogger that gathered a huge social media following for her photos of outfits, vacations, and her overall aspirational life. Her 1.2 million followers look to her for travel and fashion inspirations. 9. Grace Bonney Design*Sponge is a design blog authored by Grace Bonney, an influencer recognized by the New York Times, Forbes, and other major publications for her impact on the creative community. Her Instagram posts reflect her elegant yet approachable creative advice, and nearly a million users follow her account for her bright and charismatic feed. 10. Huda Kattan Huda Kattan took the beauty world by storm -- her Instagram began with makeup tutorials and reviews and turned into a cosmetics empire. Huda now has 1.3 million Instagram followers and a company valued at $1.2 billion. Her homepage is filled with makeup videos and snaps of her luxury lifestyle. View this post on Instagram 11. Zoe Sugg Zoe Sugg runs a fashion, beauty, and lifestyle blog and has nearly 10 million followers on Instagram. She also has an incredibly successful YouTube channel and has written best-selling books on the experience of viral bloggers. Her feed consists mostly of food, her pug, selfies, and trendy outfits. View this post on Instagram 12. Sjana Elise Earp Sjana Elise Earp is a lifestyle influencer who keeps her Instagram feed full of beautiful photos of her travels. She actively promotes yoga and healthy living to her 1.4 million followers, becoming an advocate for an exercise program called SWEAT. 13. Massy Arias Personal trainer Massy Arias is known for her fitness videos and healthy lifestyle. Her feed aims to inspire her 2.6 million followers to keep training and never give up on their health. Arias has capitalized on fitness trends on Instagram and proven to both herself and her followers that exercise can improve all areas of your life. View this post on Instagram

                    24 Stunning Instagram Themes (& How to Borrow Them for Your Own Feed)
24 Stunning Instagram Themes (& How to Borrow Them for Your Own Feed)
Nowadays, Instagram is often someone's initial contact with a brand, and nearly half of its users shop on the platform each week. If it's the entryway for half of your potential sales, don't you want your profile to look clean and inviting? Taking the time to create an engaging Instagram feed aesthetic is one of the most effective ways to persuade someone to follow your business's Instagram account or peruse your posts. You only have one chance to make a good first impression — so it's critical that you put effort into your Instagram feed. Finding the perfect place to start is tough — where do you find inspiration? What color scheme should you use? How do you organize your posts so they look like a unit? We know you enjoy learning by example, so we've compiled the answers to all of these questions in a list of stunning Instagram themes. We hope these inspire your own feed's transformation. But beware, these feeds are so desirable, you'll have a hard time choosing just one. What is an Instagram theme?An instagram theme is a visual aesthetic created by individuals and brands to achieve a cohesive look on their Instagram feeds. Instagram themes help social media managers curate different types of content into a digital motif that brings a balanced feel to the profile. Tools to Create Your Own Instagram Theme Creating a theme on your own requires a keen eye for detail. When you’re editing several posts a week that follow the same theme, you’ll want to have a design tool handy to make that workflow easier. Pre-set filters, color palettes, and graphic elements are just a few of the features these tools use, but if you have a sophisticated theme to maintain, a few of these tools include advanced features like video editing and layout previews. Here are our top five favorite tools to use when editing photos for an Instagram theme. 1. VSCO Creators look to VSCO when they want to achieve the most unique photo edits. This app is one of the top-ranked photo editing tools among photographers because it includes advanced editing features without needing to pull out all the stops in Photoshop. If you’re in a hurry and want to create an Instagram theme quickly, use one of the 200+ VSCO presets including name-brand designs by Kodak, Agfa, and Ilford. If you’ll be including video as part of your content lineup on Instagram, you can use the same presets from the images so every square of content blends seamlessly into the next no matter what format it’s in. 2. FaceTune2 FaceTune2 is a powerful photo editing app that can be downloaded on the App Store or Google Play. The free version of the app includes all the basic editing features like brightness, lighting, cropping, and filters. The pro version gives you more detailed control over retouching and background editing. For video snippets, use FaceTune Video to make detailed adjustments right from your mobile device — you’ll just need to download the app separately for that capability. If you’re starting to test whether an Instagram theme is right for your brand, FaceTune2 is an affordable tool worth trying. 3. Canva You know Canva as a user-friendly and free option to create graphics, but it can be a powerful photo editing tool to curate your Instagram theme. For more abstract themes that mix imagery with graphic art, you can add shapes, textures, and text to your images. Using the photo editor, you can import your image and adjust the levels, add filters, and apply unique effects to give each piece of content a look that’s unique to your brand. 4. Adobe Illustrator Have you ever used Adobe Illustrator to create interesting overlays and tints for images? You can do the same thing to develop your Instagram theme. Traditionally, Adobe Illustrator is the go-to tool to create vectors and logos, but this software has some pretty handy features for creating photo filters and designs. Moreover, you can layout your artboards in an Instagram-style grid to see exactly how each image will appear in your feed. 5. Photoshop Photoshop is the most well-known photo editing software, and it works especially well for creating Instagram themes. If you have the capacity to pull out all the stops and tweak every detail, Photoshop will get the job done. Not only are the editing, filter, and adjustment options virtually limitless, Photoshop is great for batch processing the same edits across several images in a matter of seconds. You’ll also optimize your workflow by using photoshop to edit the composition, alter the background, and remove any unwanted components of an image without switching to another editing software to add your filter. With Photoshop, you have complete control over your theme which means you won’t have to worry about your profile looking exactly like someone else’s. Instagram ThemesTransitionBlack and WhiteBright ColorsMinimalistOne ColorTwo ColorsPastelsOne ThemePuzzleUnique AnglesText OnlyCheckerboardBlack or White BordersSame FilterFlatlaysVintageRepetitionMix-and-match Horizontal and Vertical BordersQuotesDark ColorsRainbowDoodleTextLinesAnglesHorizontal Lines 1. Transition If you aren’t set on one specific Instagram theme, consider the transition theme. With this aesthetic, you can experiment with merging colors every couple of images. For example, you could start with a black theme and include beige accents in every image. From there, gradually introduce the next color, in this case, blue. Eventually, you’ll find that your Instagram feed will seamlessly transition between the colors you choose which keeps things interesting without straying from a cohesive look and feel. 2. Black and White A polished black and white theme is a good choice to evoke a sense of sophistication. The lack of color draws you into the photo's main subject and suggests a timeless element to your business. @Lisedesmet's black and white feed, for instance, focuses the user’s gaze on the image's subject, like the black sneakers or white balloon. 3. Bright Colors If your company's brand is meant to imply playfulness or fun, there's probably no better way than to create a feed full of bright colors. Bright colors are attention-grabbing and lighthearted, which could be ideal for attracting a younger audience. @Aww.sam's feed, for instance, showcases someone who doesn't take herself too seriously. 4. Minimalist For an artsier edge, consider taking a minimalist approach to your feed, like @emwng does. The images are inviting and slightly whimsical in their simplicity, and cultivate feelings of serenity and stability. The pup pics only add wholesomeness to this minimalist theme. Plus, minimalist feeds are less distracting by nature, so it can be easier to get a true sense of the brand from the feed alone, without clicking on individual posts. 5. One Color One of the easiest ways to pick a theme for your feed is to choose one color and stick to it — this can help steer your creative direction, and looks clean and cohesive from afar. It's particularly appealing if you choose an aesthetically pleasing and calm color, like the soft pink used in the popular hashtag #blackwomeninpink. 6. Two Colors If you're interested in creating a highly cohesive feed but don't want to stick to the one-color theme, consider trying two. Two colors can help your feed look organized and clean — plus, if you choose branded colors, it can help you create cohesion between your other social media sites the website itself. I recommend choosing two contrasting colors for a punchy look like the one shown in @Dreaming_outloud’s profile. 7. Pastels Similar to the one-color idea, it might be useful to choose one color palette for your feed, like @creativekipi's use of pastels. Pastels, in particular, often used for Easter eggs or cupcake decorations, appear childlike and cheerful. Plus, they're captivating and unexpected. 8. One Subject As evident from @mustdoflorida's feed (and username), it's possible to focus your feed on one singular object or idea — like beach-related objects and activities in Florida. If you're aiming to showcase your creativity or photography skills, it could be compelling to create a feed where each post follows one theme. 9. Puzzle Creating a puzzle out of your feed is complicated and takes some planning, but can reap big rewards in terms of uniqueness and engaging an audience. @Juniperoats’ posts, for instance, make the most sense when you look at it from the feed, rather than individual posts. It's hard not to be both impressed and enthralled by the final result, and if you post puzzle piece pictures individually, you can evoke serious curiosity from your followers. 10. Unique Angles Displaying everyday items and activities from unexpected angles is sure to draw attention to your Instagram feed. Similar to the way lines create a theme, angles use direction to create interest. Taking an image of different subjects from similar angles can unite even the most uncommon photos into a consistent theme. 11. Text Only A picture is worth a thousand words, but how many pictures is a well-designed quote worth? Confident Woman Co. breaks the rules of Instagram that say images should have a face in them to get the best engagement. Not so with this Instagram theme. The bright colors and highlighted text make this layout aesthetically pleasing both in the Instagram grid format and as a one-off post on the feed. Even within this strict text-only theme, there’s still room to break up the monotony with a type-treated font and textured background like the last image does in the middle row. 12. Checkerboard If you're not a big fan of horizontal or vertical lines, you might try a checkerboard theme. Similar to horizontal lines, this theme allows you to alternate between content and images or colors as seen in @thefemalehustlers’ feed. 13. Black or White Borders While it is a bit jarring to have black or white borders outlining every image, it definitely sets your feed apart from everyone else's. @Beautifulandyummy, for instance, uses black borders to draw attention to her images, and the finished feed looks both polished and sophisticated. This theme will likely be more successful if you're aiming to sell fashion products or want to evoke an edgier feel for your brand. 14. Same Filter If you prefer uniformity, you'll probably like this Instagram theme, which focuses on using the same filter (or set of filters) for every post. From close up, this doesn't make much difference on your images, but from afar, it definitely makes the feed appear more cohesive. @marianna_hewitt, for example, is able to make her posts of hair, drinks, and fashion seem more refined and professional, simply by using the same filter for all her posts. 15. Flatlays If your primary goal with Instagram is to showcase your products, you might want a Flatlay theme. Flatlay is an effective way to tell a story simply by arranging objects in an image a certain way and makes it easier to direct viewers' attention to a product. As seen in @thedailyedited's feed, a flatlay theme looks fresh and modern. 16. Vintage If it aligns with your brand, vintage is a creative and striking aesthetic that looks both artsy and laid-back. And, while "vintage" might sound a little bit vague, it's easy to conjure. Simply try a filter like Slumber or Aden (built into Instagram), or play around with a third-party editing tool to find a soft, hazy filter that makes your photos look like they were taken from an old polaroid camera. 17. Repetition In @girleatworld's Instagram account, you can count on one thing to remain consistent throughout her feed: she's always holding up food in her hand. This type of repetition looks clean and engaging, and as a follower, it means I always recognize one of her posts as I'm scrolling through my own feed. Consider how you might evoke similar repetition in your own posts to create a brand image all your own. 18. Mix-and-match Horizontal and Vertical Borders While this admittedly requires some planning, the resulting feed is incredibly eye-catching and unique. Simply use the Preview app and choose two different white borders, Vela and Sole, to alternate between horizontal and vertical borders. The resulting feed will look spaced out and clean. 19. Quotes If you're a writer or content creator, you might consider creating an entire feed of quotes, like @thegoodquote feed, which showcases quotes on different mediums, ranging from paperback books to Tweets. Consider typing your quotes and changing up the color of the background, or handwriting your quotes and placing them near interesting objects like flowers or a coffee mug. 20. Dark Colors @JackHarding 's nature photos are nothing short of spectacular, and he highlights their beauty by filtering with a dark overtone. To do this, consider desaturating your content and using filters with cooler colors, like greens and blues, rather than warm ones. The resulting feed looks clean, sleek, and professional. 21. Rainbow One way to introduce color into your feed? Try creating a rainbow by slowly progressing your posts through the colors of the rainbow, starting at red and ending at purple (and then, starting all over again). The resulting feed is stunning. 22. Doodle Most people on Instagram stick to photos and filters, so to stand out, you might consider adding drawings or cartoon doodles on top of (or replacing) regular photo posts. This is a good idea if you're an artist or a web designer and want to draw attention to your artistic abilities — plus, it's sure to get a smile from your followers, like these adorable doodles shown below by @josie.doodles. 23. Content Elements Similar elements in your photos can create an enticing Instagram theme. In this example by The Container Store Custom Closets, the theme uses shelves or clothes in each image to visually bring the feed together. Rather than each photo appearing as a separate room, they all combine to create a smooth layout that displays The Container Store’s products in a way that feels natural to the viewer. 24. Structural Lines Something about this Instagram feed feels different, doesn’t it? Aside from the content focusing on skyscrapers, the lines of the buildings in each image turn this layout into a unique theme. If your brand isn’t in the business of building skyscrapers, you can still implement a theme like this by looking for straight or curved lines in the photos your capture. The key to creating crisp lines from the subjects in your photos is to snap them in great lighting and find symmetry in the image wherever possible. 25. Horizontal Lines If your brand does well with aligning photography with content, you might consider organizing your posts in a thoughtful way — for instance, creating either horizontal or vertical lines, with your rows alternating between colors, text, or even subject distance. @mariahb.makeup employs this tactic, and her feed looks clean and intriguing as a result. How to Create an Instagram Theme 1. Choose a consistent color palette. One major factor of any Instagram theme is consistency. For instance, you wouldn't want to regularly change your theme from black-and-white to rainbow — this could confuse your followers and damage your brand image. Of course, a complete company rebrand might require you to shift your Instagram strategy, but for the most part, you want to stay consistent with the types of visual content you post on Instagram. For this reason, you'll need to choose a color palette to adhere to when creating an Instagram theme. Perhaps you choose to use brand colors. LIKE.TG's Instagram, for instance, primarily uses blues, oranges, and teal, three colors prominently displayed on LIKE.TG's website and products. Alternatively, maybe you choose one of the themes listed above, such as black-and-white. Whatever the case, to create an Instagram theme, it's critical you stick to a few colors throughout all of your content. 2. Use the same filter for each post, or edit each post similarly. As noted above, consistency is a critical element in any Instagram theme, so you'll want to find your favorite one or two filters and use them for each of your posts. You can use Instagram's built-in filters, or try an editing app like VSCO or Snapseed. Alternatively, if you're going for a minimalist look, you might skip filters entirely and simply use a few editing features, like contrast and exposure. Whatever you choose, though, you'll want to continue to edit each of your posts similarly to create a cohesive feed. 3. Use a visual feed planner to plan posts far in advance. It's vital that you plan your Instagram posts ahead of time for a few different reasons, including ensuring you post a good variety of content and that you post it during a good time of day. Additionally, when creating an Instagram theme, you'll need to plan posts in advance to figure out how they fit together — like puzzle pieces, your individual pieces of content need to reinforce your theme as a whole. To plan posts far in advance and visualize how they reinforce your theme, you'll want to use a visual Instagram planner like Later or Planoly. Best of all, you can use these apps to preview your feed and ensure your theme is looking the way you want it to look before you press "Publish" on any of your posts. 4. Don't lock yourself into a theme you can't enjoy for the long haul. In middle school, I often liked to change my "look" — one day I aimed for preppy, and the next I chose a more athletic look. Of course, as I got older, I began to understand what style I could stick with for the long haul and started shopping for clothes that fit my authentic style so I wasn't constantly purchasing new clothes and getting sick of them a few weeks later. Similarly, you don't want to choose an Instagram theme you can't live with for a long time. Your Instagram theme should be an accurate reflection of your brand, and if it isn't, it probably won't last. Just because rainbow colors sound interesting at the get-go doesn't mean it's a good fit for your company's social media aesthetic as a whole. When in doubt, choose a more simple theme that provides you the opportunity to get creative and experiment without straying too far off-theme. How to Use an Instagram Theme on Your Profile 1. Choose what photos you want to post before choosing your theme. When you start an Instagram theme, there are so many options to choose from. Filters, colors, styles, angles — the choices are endless. But it’s important to keep in mind that these things won’t make your theme stand out. The content is still the star of the show. If the images aren’t balanced on the feed, your theme will look like a photo dump that happens to have the same filter on it. To curate the perfect Instagram theme, choose what photos you plan to post before choosing a theme. I highly recommend laying these photos out in a nine-square grid as well so you can see how the photos blend together. 2. Don’t forget the captions. Sure, no one is going to see the captions of your Instagram photos when they’re looking at your theme in the grid-view, but they will see them when you post each photo individually. There will be times when an image you post may be of something abstract, like the corner of a building, an empty suitcase, or a pair of sunglasses. On their own, these things might not be so interesting, but a thoughtful caption that ties the image to your overall theme can help keep your followers engaged when they might otherwise check out and keep scrolling past your profile. If you’re having a bit of writer’s block, check out these 201 Instagram captions for every type of post. 3. Switch up your theme with color blocks. Earlier, we talked about choosing a theme that you can commit to for the long haul. But there’s an exception to that rule — color transitions. Some of the best themes aren’t based on a specific color at all. Rather than using the same color palette throughout the Instagram feed, you can have colors blend into one another with each photo. This way, you can include a larger variety of photos without limiting yourself to specific hues. A Cohesive Instagram Theme At Your Fingertips Instagram marketing is more than numbers. As the most visual social media platform today, what you post and how it looks directly affects engagement, followers, and how your brand shows up online. A cohesive Instagram theme can help your brand convey a value proposition, promote a product, or execute a campaign. Colors and filters make beautiful themes, but there are several additional ways to stop your followers mid-scroll with a fun, unified aesthetic. Editor's note: This post was originally published in August 2018 and has been updated for comprehensiveness.
全球代理
 Why do SEO businesses need bulk IP addresses?
Why do SEO businesses need bulk IP addresses?
Search Engine Optimisation (SEO) has become an integral part of businesses competing on the internet. In order to achieve better rankings and visibility in search engine results, SEO professionals use various strategies and techniques to optimise websites. Among them, bulk IP addressing is an important part of the SEO business. In this article, we will delve into why SEO business needs bulk IP addresses and how to effectively utilise bulk IP addresses to boost your website's rankings and traffic.First, why does SEO business need bulk IP address?1. Avoid search engine blocking: In the process of SEO optimisation, frequent requests to search engines may be identified as malicious behaviour, resulting in IP addresses being blocked. Bulk IP addresses can be used to rotate requests to avoid being blocked by search engines and maintain the stability and continuity of SEO activities.2. Geo-targeting optimisation: Users in different regions may search through different search engines or search for different keywords. Bulk IP address can simulate different regions of the user visit, to help companies geo-targeted optimisation, to improve the website in a particular region of the search rankings.3. Multiple Keyword Ranking: A website is usually optimised for multiple keywords, each with a different level of competition. Batch IP address can be used to optimise multiple keywords at the same time and improve the ranking of the website on different keywords.4. Website content testing: Bulk IP address can be used to test the response of users in different regions to the website content, so as to optimise the website content and structure and improve the user experience.5. Data collection and competition analysis: SEO business requires a lot of data collection and competition analysis, and bulk IP address can help enterprises efficiently obtain data information of target websites.Second, how to effectively use bulk IP address for SEO optimisation?1. Choose a reliable proxy service provider: Choose a proxy service provider that provides stable and high-speed bulk IP addresses to ensure the smooth progress of SEO activities.2. Formulate a reasonable IP address rotation strategy: Formulate a reasonable IP address rotation strategy to avoid frequent requests to search engines and reduce the risk of being banned.3. Geo-targeted optimisation: According to the target market, choose the appropriate geographical location of the IP address for geo-targeted optimisation to improve the search ranking of the website in a particular region.4. Keyword Optimisation: Optimise the ranking of multiple keywords through bulk IP addresses to improve the search ranking of the website on different keywords.5. Content Optimisation: Using bulk IP addresses for website content testing, to understand the reaction of users in different regions, optimise website content and structure, and improve user experience.Third, application Scenarios of Bulk IP Address in SEO Business1. Data collection and competition analysis: SEO business requires a large amount of data collection and competition analysis, through bulk IP address, you can efficiently get the data information of the target website, and understand the competitors' strategies and ranking.2. Website Geo-targeting Optimisation: For websites that need to be optimised in different regions, bulk IP addresses can be used to simulate visits from users in different regions and improve the search rankings of websites in specific regions.3. Multi-keyword Ranking Optimisation: Bulk IP addresses can be used to optimise multiple keywords at the same time, improving the ranking of the website on different keywords.4. Content Testing and Optimisation: Bulk IP addresses can be used to test the response of users in different regions to the content of the website, optimise the content and structure of the website, and improve the user experience.Conclusion:In today's competitive Internet environment, SEO optimisation is a key strategy for companies to improve their website ranking and traffic. In order to achieve effective SEO optimisation, bulk IP addresses are an essential tool. By choosing a reliable proxy service provider, developing a reasonable IP address rotation strategy, geo-targeting optimisation and keyword optimisation, as well as conducting content testing and optimisation, businesses can make full use of bulk IP addresses to boost their website rankings and traffic, and thus occupy a more favourable position in the Internet competition.
1. Unlocking the Power of IP with Iproyal: A Comprehensive Guide2. Discovering the World of IP Intelligence with Iproyal3. Boosting Online Security with Iproyal's Cutting-Edge IP Solutions4. Understanding the Importance of IP Management: Exploring
1. Unlocking the Power of IP with Iproyal
A Comprehensive Guide2. Discovering the World of IP Intelligence with Iproyal3. Boosting Online Security with Iproyal's Cutting-Edge IP Solutions4. Understanding the Importance of IP Management
All You Need to Know About IPRoyal - A Reliable Proxy Service ProviderBenefits of Using IPRoyal:1. Enhanced Online Privacy:With IPRoyal, your online activities remain anonymous and protected. By routing your internet traffic through their secure servers, IPRoyal hides your IP address, making it virtually impossible for anyone to track your online behavior. This ensures that your personal information, such as banking details or browsing history, remains confidential.2. Access to Geo-Restricted Content:Many websites and online services restrict access based on your geographical location. IPRoyal helps you overcome these restrictions by providing proxy servers located in various countries. By connecting to the desired server, you can browse the internet as if you were physically present in that location, granting you access to region-specific content and services.3. Improved Browsing Speed:IPRoyal's dedicated servers are optimized for speed, ensuring a seamless browsing experience. By utilizing their proxy servers closer to your location, you can reduce latency and enjoy faster page loading times. This is particularly useful when accessing websites or streaming content that may be slow due to network congestion or geographical distance.Features of IPRoyal:1. Wide Range of Proxy Types:IPRoyal offers different types of proxies to cater to various requirements. Whether you need a datacenter proxy, residential proxy, or mobile proxy, they have you covered. Each type has its advantages, such as higher anonymity, rotational IPs, or compatibility with mobile devices. By selecting the appropriate proxy type, you can optimize your browsing experience.2. Global Proxy Network:With servers located in multiple countries, IPRoyal provides a global proxy network that allows you to choose the location that best suits your needs. Whether you want to access content specific to a particular country or conduct market research, their extensive network ensures reliable and efficient proxy connections.3. User-Friendly Dashboard:IPRoyal's intuitive dashboard makes managing and monitoring your proxy usage a breeze. From here, you can easily switch between different proxy types, select the desired server location, and view important usage statistics. The user-friendly interface ensures that even those with limited technical knowledge can make the most of IPRoyal's services.Conclusion:In a world where online privacy and freedom are increasingly threatened, IPRoyal provides a comprehensive solution to protect your anonymity and enhance your browsing experience. With its wide range of proxy types, global network, and user-friendly dashboard, IPRoyal is suitable for individuals, businesses, and organizations seeking reliable and efficient proxy services. Say goodbye to restrictions and safeguard your online presence with IPRoyal's secure and trusted proxy solutions.
1. Unveiling the World of Proxies: An In-Depth Dive into their Uses and Benefits2. Demystifying Proxies: How They Work and Why You Need Them3. The Power of Proxies: Unlocking a World of Online Possibilities4. Exploring the Role of Proxies in Data S
1. Unveiling the World of Proxies
An In-Depth Dive into their Uses and Benefits2. Demystifying Proxies
Title: Exploring the Role of Proxies in Ensuring Online Security and PrivacyDescription: In this blog post, we will delve into the world of proxies and their significance in ensuring online security and privacy. We will discuss the different types of proxies, their functionalities, and their role in safeguarding our online activities. Additionally, we will explore the benefits and drawbacks of using proxies, and provide recommendations for choosing the right proxy service.IntroductionIn today's digital age, where our lives have become increasingly interconnected through the internet, ensuring online security and privacy has become paramount. While we may take precautions such as using strong passwords and enabling two-factor authentication, another valuable tool in this endeavor is the use of proxies. Proxies play a crucial role in protecting our online activities by acting as intermediaries between our devices and the websites we visit. In this blog post, we will explore the concept of proxies, their functionalities, and how they contribute to enhancing online security and privacy.Understanding Proxies Proxies, in simple terms, are intermediate servers that act as connectors between a user's device and the internet. When we access a website through a proxy server, our request to view the webpage is first routed through the proxy server before reaching the website. This process helps ensure that our IP address, location, and other identifying information are not directly visible to the website we are accessing.Types of Proxies There are several types of proxies available, each with its own purpose and level of anonymity. Here are three common types of proxies:1. HTTP Proxies: These proxies are primarily used for accessing web content. They are easy to set up and can be used for basic online activities such as browsing, but they may not provide strong encryption or complete anonymity.2. SOCKS Proxies: SOCKS (Socket Secure) proxies operate at a lower level than HTTP proxies. They allow for a wider range of internet usage, including applications and protocols beyond just web browsing. SOCKS proxies are popular for activities such as torrenting and online gaming.Benefits and Drawbacks of Using Proxies Using proxies offers several advantages in terms of online security and privacy. Firstly, proxies can help mask our real IP address, making it difficult for websites to track our online activities. This added layer of anonymity can be particularly useful when accessing websites that may track or collect user data for advertising or other purposes.Moreover, proxies can also help bypass geolocation restrictions. By routing our internet connection through a proxy server in a different country, we can gain access to content that may be blocked or restricted in our actual location. This can be particularly useful for accessing streaming services or websites that are limited to specific regions.However, it is important to note that using proxies does have some drawbacks. One potential disadvantage is the reduced browsing speed that can occur when routing internet traffic through a proxy server. Since the proxy server acts as an intermediary, it can introduce additional latency, resulting in slower webpage loading times.Another potential concern with using proxies is the potential for malicious or untrustworthy proxy servers. If we choose a proxy service that is not reputable or secure, our online activities and data could be compromised. Therefore, it is crucial to research and select a reliable proxy service provider that prioritizes user security and privacy.Choosing the Right Proxy Service When selecting a proxy service, there are certain factors to consider. Firstly, it is essential to evaluate the level of security and encryption provided by the proxy service. Look for services that offer strong encryption protocols such as SSL/TLS to ensure that your online activities are protected.Additionally, consider the speed and availability of proxy servers. Opt for proxy service providers that have a wide network of servers in different locations to ensure optimal browsing speed and access to blocked content.Lastly, read user reviews and consider the reputation of the proxy service provider. Look for positive feedback regarding their customer support, reliability, and commitment to user privacy.Conclusion In an era where online security and privacy are of utmost importance, proxies offer a valuable tool for safeguarding our digital lives. By understanding the different types of proxies and their functionalities, we can make informed choices when it comes to selecting the right proxy service. While proxies provide enhanced privacy and security, it is crucial to be mindful of the potential drawbacks and choose reputable proxy service providers to ensure a safe online experience.
云服务
2018年,中小电商企业需要把握住这4个大数据趋势
2018年,中小电商企业需要把握住这4个大数据趋势
新的一年意味着你需要做出新的决定,这当然不仅限于发誓要减肥或者锻炼。商业和技术正飞速发展,你的公司需要及时跟上这些趋势。以下这几个数字能帮你在2018年制定工作规划时提供一定的方向。 人工智能(AI)在过去的12到18个月里一直是最热门的技术之一。11月,在CRM 软件服务提供商Salesforce的Dreamforce大会上,首席执行官Marc Benioff的一篇演讲中提到:Salesforce的人工智能产品Einstein每天都能在所有的云计算中做出了4.75亿次预测。 这个数字是相当惊人的。Einstein是在一年多前才宣布推出的,可现在它正在疯狂地“吐出”预测。而这仅仅是来自一个拥有15万客户的服务商。现在,所有主要的CRM服务商都有自己的人工智能项目,每天可能会产生超过10亿的预测来帮助公司改善客户交互。由于这一模式尚处于发展初期,所以现在是时候去了解能够如何利用这些平台来更有效地吸引客户和潜在客户了。 这一数字来自Facebook于2017年底的一项调查,该调查显示,人们之前往往是利用Messenger来与朋友和家人交流,但现在有越来越多人已经快速习惯于利用该工具与企业进行互动。 Facebook Messenger的战略合作伙伴关系团队成员Linda Lee表示,“人们提的问题有时会围绕特定的服务或产品,因为针对这些服务或产品,他们需要更多的细节或规格。此外,有时还会涉及到处理客户服务问题——或许他们已经购买了一个产品或服务,随后就会出现问题。” 当你看到一个3.3亿人口这个数字时,你必须要注意到这一趋势,因为在2018年这一趋势将很有可能会加速。 据Instagram在11月底发布的一份公告显示,该平台上80%的用户都关注了企业账号,每天有2亿Instagram用户都会访问企业的主页。与此相关的是,Instagram上的企业账号数量已经从7月的1500万增加到了2500万。 根据该公司的数据显示,Instagram上三分之一的小企业表示,他们已经通过该平台建立起了自己的业务;有45%的人称他们的销售额增加了;44%的人表示,该平台帮助了他们在其他城市、州或国家销售产品。 随着视频和图片正在吸引越多人们的注意力,像Instagram这样的网站,对B2C和B2B公司的重要性正在与日俱增。利用Instagram的广泛影响力,小型企业可以用更有意义的方式与客户或潜在客户进行互动。 谈到亚马逊,我们可以列出很多吸引眼球的数字,比如自2011年以来,它向小企业提供了10亿美元的贷款。而且在2017年的网络星期一,亚马逊的当天交易额为65.9亿美元,成为了美国有史以来最大的电商销售日。同时,网络星期一也是亚马逊平台卖家的最大销售日,来自全世界各地的顾客共从这些小企业订购了近1.4亿件商品。 亚马逊表示,通过亚马逊app订购的手机用户数量增长了50%。这也意味着,有相当数量的产品是通过移动设备销售出的。 所有这些大数据都表明,客户与企业的互动在未来将会发生巨大的变化。有些发展会比其他的发展更深入,但这些数字都说明了该领域的变化之快,以及技术的加速普及是如何推动所有这些发展的。 最后,希望这些大数据可以对你的2018年规划有一定的帮助。 (编译/LIKE.TG 康杰炜)
2020 AWS技术峰会和合作伙伴峰会线上举行
2020 AWS技术峰会和合作伙伴峰会线上举行
2020年9月10日至11日,作为一年一度云计算领域的大型科技盛会,2020 AWS技术峰会(https://www.awssummit.cn/) 正式在线上举行。今年的峰会以“构建 超乎所见”为主题,除了展示AWS最新的云服务,探讨前沿云端技术及企业最佳实践外,还重点聚焦垂直行业的数字化转型和创新。AWS宣布一方面加大自身在垂直行业的人力和资源投入,组建行业团队,充分利用AWS的整体优势,以更好的发掘、定义、设计、架构和实施针对垂直行业客户的技术解决方案和场景应用;同时携手百家中国APN合作伙伴发布联合解决方案,重点覆盖金融、制造、汽车、零售与电商、医疗与生命科学、媒体、教育、游戏、能源与电力九大行业,帮助这些行业的客户实现数字化转型,进行数字化创新。峰会期间,亚马逊云服务(AWS)还宣布与毕马威KPMG、神州数码分别签署战略合作关系,推动企业上云和拥抱数字化。 亚马逊全球副总裁、AWS大中华区执董事张文翊表示,“AWS一直致力于不断借助全球领先的云技术、广泛而深入的云服务、成熟和丰富的商业实践、全球的基础设施覆盖,安全的强大保障以及充满活力的合作伙伴网络,加大在中国的投入,助力中国客户的业务创新、行业转型和产业升级。在数字化转型和数字创新成为‘新常态’的今天,我们希望通过AWS技术峰会带给大家行业的最新动态、全球前沿的云计算技术、鲜活的数字创新实践和颇具启发性的文化及管理理念,推动中国企业和机构的数字化转型和创新更上层楼。” 构建场景应用解决方案,赋能合作伙伴和客户 当前,传统企业需要上云,在云上构建更敏捷、更弹性和更安全的企业IT系统,实现数字化转型。同时,在实现上云之后,企业又迫切需要利用现代应用开发、大数据、人工智能与机器学习、容器技术等先进的云技术,解决不断涌现的业务问题,实现数字化创新,推动业务增长。 亚马逊云服务(AWS)大中华区专业服务总经理王承华表示,为了更好的提升行业客户体验,截至目前,AWS在中国已经发展出了数十种行业应用场景及相关的技术解决方案。 以中国区域部署的数字资产管理和云上会议系统两个应用场景解决方案为例。其中,数字资产盘活机器人让客户利用AWS云上资源低成本、批处理的方式标记数字资产,已经在银行、证券、保险领域率先得到客户青睐;AWS上的BigBlueButton,让教育机构或服务商可以在AWS建一套自己的在线会议系统,尤其适合当前急剧增长的在线教育需求。 这些行业应用场景解决方案经过客户验证成熟之后,AWS把它们转化为行业解决方案,赋能APN合作伙伴,拓展给更多的行业用户部署使用。 发布百家APN合作伙伴联合解决方案 打造合作伙伴社区是AWS服务企业客户的一大重点,也是本次峰会的亮点。AWS通过名为APN(AWS合作伙伴网络)的全球合作伙伴计划,面向那些利用AWS为客户构建解决方案的技术和咨询企业,提供业务支持、技术支持和营销支持,从而赋能这些APN合作伙伴,更好地满足各行各业、各种规模客户地需求。 在于9月9日举行的2020 AWS合作伙伴峰会上,AWS中国区生态系统及合作伙伴部总经理汪湧表示,AWS在中国主要从四个方面推进合作伙伴网络的构建。一是加快AWS云服务和功能落地,从而使合作伙伴可以利用到AWS全球最新的云技术和服务来更好地服务客户;二是推动跨区域业务扩展,帮助合作伙伴业务出海,也帮助全球ISV落地中国,同时和区域合作伙伴一起更好地服务国内各区域市场的客户;三是与合作伙伴一起着力传统企业上云迁移;四是打造垂直行业解决方案。 一直以来,AWS努力推动将那些驱动中国云计算市场未来、需求最大的云服务优先落地中国区域。今年上半年,在AWS中国区域已经落地了150多项新服务和功能,接近去年的全年总和。今年4月在中国落地的机器学习服务Amazon SageMaker目前已经被德勤、中科创达、东软、伊克罗德、成都潜在(行者AI)、德比软件等APN合作伙伴和客户广泛采用,用以创新以满足层出不穷的业务需求,推动增长。 联合百家APN合作伙伴解决方案打造垂直行业解决方案是AWS中国区生态系统构建的战略重点。 以汽车行业为例,东软集团基于AWS构建了云原生的汽车在线导航业务(NOS),依托AWS全球覆盖的基础设施、丰富的安全措施和稳定可靠的云平台,实现车规级的可靠性、应用程序的持续迭代、地图数据及路况信息的实时更新,服务中国车企的出海需求。 上海速石科技公司构建了基于AWS云上资源和用户本地算力的一站式交付平台,为那些需要高性能计算、海量算力的客户,提供一站式算力运营解决方案,目标客户涵盖半导体、药物研发、基因分析等领域。利用云上海量的算力,其客户在业务峰值时任务不用排队,极大地提高工作效率,加速业务创新。 外研在线在AWS上构建了Unipus智慧教学解决方案,已经服务于全国1700多家高校、1450万师生。通过将应用部署在AWS,实现SaaS化的交付模式,外研在线搭建了微服务化、自动伸缩的架构,可以自动适应教学应用的波峰波谷,提供稳定、流畅的体验,并且节省成本。 与毕马威KPMG、神州数码签署战略合作 在2020AWS技术峰会和合作伙伴峰会上,AWS还宣布与毕马威、神州数码签署战略合作关系,深化和升级合作。 AWS与毕马威将在中国开展机器学习、人工智能和大数据等领域的深入合作,毕马威将基于AWS云服务,结合其智慧之光系列数字化解决方案,为金融服务、制造业、零售、快消、以及医疗保健和生命科学等行业客户,提供战略规划、风险管理、监管与合规等咨询及实施服务。AWS将与神州数码将在赋能合作伙伴上云转型、全生命周期管理及助力全球独立软件开发商(ISV)落地中国方面展开深入合作,助力中国企业和机构的数字化转型与创新。
2021re:Invent全球大会圆满落幕 亚马逊云科技致敬云计算探路者
2021re
Invent全球大会圆满落幕 亚马逊云科技致敬云计算探路者
本文来源:LIKE.TG 作者:Ralf 全球最重磅的云计算大会,2021亚马逊云科技re:Invent全球大会已圆满落幕。re:Invent大会是亚马逊云科技全面展示新技术、产品、功能和服务的顶级行业会议,今年更是迎来十周年这一里程碑时刻。re:Invent,中文意为重塑,是亚马逊云科技一直以来坚持的“精神内核”。 作为Andy Jassy和新CEO Adam Selipsky 交接后的第一次re:Invent大会,亚马逊云科技用诸多新服务和新功能旗帜鲜明地致敬云计算探路者。 致敬云计算探路者 亚马逊云科技CEO Adam Selipsky盛赞云上先锋客户为“探路者”,他说,“这些客户都有巨大的勇气和魄力通过上云做出改变。他们勇于探索新业务、新模式,积极重塑自己和所在的行业。他们敢于突破边界,探索未知领域。有时候,我们跟客户共同努力推动的这些工作很艰难,但我们喜欢挑战。我们把挑战看作探索未知、发现新机遇的机会。回过头看,每一个这样的机构都是在寻找一条全新的道路。他们是探路者。” Adam 认为,探路者具有三个特征:创新不息,精进不止(Constant pursuit of a better way);独识卓见,领势而行(Ability to see what others don’t);授人以渔,赋能拓新(Enable others to forge their own paths)。 十五年前,亚马逊云科技缔造了云计算概念,彼时IT和基础设施有很大的局限。不仅贵,还反应慢、不灵活,大大限制了企业的创新。亚马逊云科技意识到必须探索一条新的道路,重塑企业IT。 从2006年的Amazon S3开始,IT应用的基础服务,存储、计算、数据库不断丰富。亚马逊云科技走过的15年历程 也是云计算产业发展的缩影。 目前,S3现在存储了超过100万亿个对象,EC2每天启用超过6000万个新实例。包括S3和EC2,亚马逊云科技已经提供了200大类服务,覆盖了计算、存储、网络、安全、数据库、数据分析、人工智能、物联网、混合云等各个领域,甚至包括最前沿的量子计算服务和卫星数据服务 (图:亚马逊全球副总裁、亚马逊云科技大中华区执行董事张文翊) 对于本次大会贯穿始终的探路者主题,亚马逊全球副总裁、亚马逊云科技大中华区执行董事张文翊表示:“大家对这个概念并不陌生,他们不被规则所限,从不安于现状;他们深入洞察,开放视野;还有一类探路者,他们不断赋能他人。我们周围有很多鲜活的例子,无论是科研人员发现新的治疗方案挽救生命,还是为身处黑暗的人带去光明; 无论是寻找新的手段打破物理边界,还是通过云进行独特的创新,探路源源不断。” 技术升级创新不断 本次re:Invent大会,亚马逊云科技发布涵盖计算、物联网、5G、无服务器数据分析、大机迁移、机器学习等方向的多项新服务和功能,为业界带来大量重磅创新服务和产品技术更新,包括发布基于新一代自研芯片Amazon Graviton3的计算实例、帮助大机客户向云迁移的Amazon Mainframe Modernization、帮助企业构建移动专网的Amazon Private 5G、四个亚马逊云科技分析服务套件的无服务器和按需选项以及为垂直行业构建的云服务和解决方案,如构建数字孪生的服务Amazon IoT TwinMaker和帮助汽车厂商构建车联网平台的Amazon IoT FleetWise。 (图:亚马逊云科技大中华区产品部总经理顾凡) 亚马逊云科技大中华区产品部总经理顾凡表示,新一代的自研ARM芯片Graviton3性能有显著提升。针对通用的工作负载,Graviton3比Graviton2的性能提升25%,而专门针对高性能计算里的科学类计算,以及机器学习等这样的负载会做更极致的优化。针对科学类的计算负载,Graviton3的浮点运算性能比Graviton2提升高达2倍;像加密相关的工作负载产生密钥加密、解密,这部分性能比Graviton2会提升2倍,针对机器学习负载可以提升高达3倍。Graviton3实例可以减少多达60%的能源消耗。 新推出的Amazon Private 5G,让企业可以轻松部署和扩展5G专网,按需配置。Amazon Private 5G将企业搭建5G专网的时间从数月降低到几天。客户只需在亚马逊云科技的控制台点击几下,就可以指定想要建立移动专网的位置,以及终端设备所需的网络容量。亚马逊云科技负责交付、维护、建立5G专网和连接终端设备所需的小型基站、服务器、5G核心和无线接入网络(RAN)软件,以及用户身份模块(SIM卡)。Amazon Private 5G可以自动设置和部署网络,并按需根据额外设备和网络流量的增长扩容。 传统工业云化加速 在亚马逊云科技一系列新服务和新功能中,针对传统工业的Amazon IoT TwinMaker和Amazon IoT FleetWise格外引人关注。 就在re:Invent大会前一天。工业和信息化部发布《“十四五”信息化和工业化深度融合发展规划》(《规划》),《规划》明确了到2025年发展的分项目标,其中包括工业互联网平台普及率达45%。 亚马逊云科技布局物联网已经有相当长的时间。包括工业互联网里的绿色产线的维护、产线的质量监控等,在数字孪生完全构建之前,已经逐步在实现应用的实体里面。亚马逊云科技大中华区产品部计算与存储总监周舸表示,“在产线上怎么自动化地去发现良品率的变化,包括Amazon Monitron在产线里面可以直接去用,这些传感器可以监测震动、温度等,通过自动的建模去提早的预测可能会出现的问题,就不用等到灾难发生,而是可以提早去换部件或者加点机油解决潜在问题。” 周舸认为工业互联的场景在加速。但很多中小型的工厂缺乏技术能力。“Amazon IoT TwinMaker做数字孪生的核心,就是让那些没有那么强的能力自己去构建或者去雇佣非常专业的构建的公司,帮他们搭建数字孪生,这个趋势是很明确的,我们也在往这个方向努力。” 对于汽车工业,特别是新能源汽车制造。数据的收集管理已经变得越来越重要。Amazon IoT FleetWise,让汽车制造商更轻松、经济地收集、管理车辆数据,同时几乎实时上传到云端。通过Amazon IoT FleetWise,汽车制造商可以轻松地收集和管理汽车中任何格式的数据(无论品牌、车型或配置),并将数据格式标准化,方便在云上轻松进行数据分析。Amazon IoT FleetWise的智能过滤功能,帮助汽车制造商近乎实时地将数据高效上传到云端,为减少网络流量的使用,该功能也允许开发人员选择需要上传的数据,还可以根据天气条件、位置或汽车类型等参数来制定上传数据的时间规则。当数据进入云端后,汽车制造商就可以将数据应用于车辆的远程诊断程序,分析车队的健康状况,帮助汽车制造商预防潜在的召回或安全问题,或通过数据分析和机器学习来改进自动驾驶和高级辅助驾驶等技术。
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1210保税备货模式是什么?1210跨境电商中找到适合的第三方支付接口平台
1210保税备货模式是什么?1210跨境电商中找到适合的第三方支付接口平台
  1210保税备货模式是一种跨境电商模式,它允许电商平台在境外仓库存储商品,以便更快、更便宜地满足国内消费者的需求。这种模式的名称“1210”代表了其核心特点,即1天出货、2周入仓、10天达到终端用户。它是中国跨境电商行业中的一种创新模式,为消费者提供了更快速、更便宜的购物体验,同时也促进了国际贸易的发展。   在1210保税备货模式中,电商平台会在国外建立仓库,将商品直接从生产国或供应商处运送到境外仓库进行存储。   由于商品已经在国内仓库存储,当消费者下单时,可以更快速地发货,常常在1天内出货,大大缩短了交付时间。   1210模式中,商品已经进入国内仓库,不再需要跨越国际海运、海关清关等环节,因此物流成本较低。   由于商品直接从生产国或供应商处运送到境外仓库,不需要在国内仓库大量储备库存,因此降低了库存成本。   1210模式可以更精确地控制库存,减少滞销和过期商品,提高了库存周转率。   在实施1210保税备货模式时,选择合适的第三方支付接口平台也是非常重要的,因为支付环节是电商交易中不可或缺的一环。   确保第三方支付接口平台支持国际信用卡支付、外币结算等功能,以便国际消费者能够顺利完成支付。   提供多种支付方式,以满足不同消费者的支付习惯。   第三方支付接口平台必须具备高度的安全性,包含数据加密、反欺诈措施等,以保护消费者的支付信息和资金安全。   了解第三方支付接口平台的跨境结算机制,确保可以顺利将国际销售收入转换为本地货币,并减少汇率风险。   选择一个提供良好技术支持和客户服务的支付接口平台,以应对可能出现的支付问题和故障。   了解第三方支付接口平台的费用结构,包含交易费率、结算费用等,并与自身业务规模和盈利能力相匹配。   确保第三方支付接口平台可以与电商平台进行顺畅的集成,以实现订单管理、库存控制和财务管理的无缝对接。   考虑未来业务扩展的可能性,选择一个具有良好扩展性的支付接口平台,以适应不断增长的交易量和新的市场需求。   在选择适合的第三方支付接口平台时,需要考虑到以上支付功能、安全性、成本、技术支持等因素,并与自身业务需求相匹配。 本文转载自:https://www.ipaylinks.com/
2023年德国VAT注册教程有吗?增值税注册注意的事及建议
2023年德国VAT注册教程有吗?增值税注册注意的事及建议
  作为欧洲的经济大国,德国吸引了许多企业在该地区抢占市场。在德国的商务活动涉及增值税(VAT)难题是在所难免的。   1、决定是否务必注册VAT   2023年,德国的增值税注册门槛是前一年销售额超过17500欧。对在德国有固定经营场所的外国企业,不管销售状况怎样,都应开展增值税注册。   2、备好所需的材料   企业注册证实   业务地址及联络信息   德国银行帐户信息   预估销售信息   公司官方文件(依据公司类型可能有所不同)   3、填写申请表   要访问德国税务局的官网,下载并递交增值税注册申请表。确保填好精确的信息,由于不准确的信息可能会致使申请被拒或审计耽误。   4、提交申请   填写申请表后,可以经过电子邮箱把它发给德国税务局,或在某些地区,可以网上申请申请。确保另附全部必须的文件和信息。   5、等待审批   递交了申请,要耐心地等待德国税务局的准许。因为税务局的工作负荷和个人情况,准许时长可能会有所不同。一般,审计可能需要几周乃至几个月。   6、得到VAT号   假如申请获得批准,德国税务局可能授于一个增值税号。这个号码应当是德国增值税申报和支付业务视频的关键标示。   7、逐渐申报和付款   获得了增值税号,你应该根据德国的税收要求逐渐申报和付款。根据规定时间表,递交增值税申请表并缴纳相应的税款。   注意的事和提议   填写申请表时,确保信息精确,避免因错误报告导致审批耽误。   假如不强化对德国税制改革的探索,提议寻求专业税务顾问的支持,以保障申请和后续申报合规。   储存全部申请及有关文件的副本,用以日后的审查和审计。 本文转载自:https://www.ipaylinks.com/
2023年注册代理英国VAT的费用
2023年注册代理英国VAT的费用
  在国际贸易和跨境电商领域,注册代理英国增值税(VAT)是一项关键且必要的步骤。2023年,许多企业为了遵守英国的税务法规和合规要求,选择注册代理VAT。   1. 注册代理英国VAT的背景:   英国是一个重要的国际贸易和电商市场,许多企业选择在英国注册VAT,以便更好地服务英国客户,并利用英国的市场机会。代理VAT是指经过一个英国境内的注册代理公司进行VAT申报和纳税,以简化税务流程。   2. 费用因素:   注册代理英国VAT的费用取决于多个因素,包括但不限于:   业务规模: 企业的业务规模和销售额可能会影响注册代理VAT的费用。常常来说,销售额较大的企业可能需要支付更高的费用。   代理公司选择: 不同的注册代理公司可能收取不同的费用。选择合适的代理公司很重要,他们的费用结构可能会因公司而异。   服务范围: 代理公司可能提供不同的服务范围,包括申报、纳税、咨询等。你选择的服务范围可能会影响费用。   附加服务: 一些代理公司可能提供附加服务,如法律咨询、报告生成等,这些服务可能会增加费用。   复杂性: 如果的业务涉及复杂的税务情况或特殊需求,可能需要额外的费用。   3. 典型费用范围:   2023年注册代理英国VAT的费用范围因情况而异,但常常可以在几百英镑到数千英镑之间。对小规模企业,费用可能较低,而对大规模企业,费用可能较高。   4. 寻求报价:   如果计划在2023年注册代理英国VAT,建议与多家注册代理公司联系,获得费用报价。这样可以比较不同公司的费用和提供的服务,选择最适合你需求的代理公司。   5. 其他费用考虑:   除了注册代理VAT的费用,你还应考虑其他可能的费用,如VAT申报期限逾期罚款、税务咨询费用等。保持合规和及时申报可以避免这些额外费用。   6. 合理预算:   在注册代理英国VAT时,制定合理的预算非常重要。考虑到不同因素可能会影响费用,确保有足够的资金来支付这些费用是必要的。   2023年注册代理英国VAT的费用因多个因素而异。了解这些因素,与多家代理公司沟通,获取费用报价,制定合理的预算,会有助于在注册VAT时做出聪明的决策。确保业务合规,并寻求专业税务顾问的建议,以保障一切顺利进行。 本文转载自:https://www.ipaylinks.com/
广告投放
2021年B2B外贸跨境获客催化剂-行业案例之测控
2021年B2B外贸跨境获客催化剂-行业案例之测控
随着时间的推移,数字化已经在中国大量普及,越来越多的B2B企业意识到数字营销、内容营销、社交传播可以帮助业务加速推进。但是在和大量B2B出海企业的合作过程中,我们分析发现在实际的营销中存在诸多的瓶颈和痛点。 例如:传统B2B营销方式获客难度不断增大、获客受众局限、询盘成本高但质量不高、询盘数量增长不明显、线下展会覆盖客户的流失等,这些都是每天考验着B2B营销人的难题。 说到这些痛点和瓶颈,就不得不提到谷歌广告了,对比其他推广平台,Google是全球第一大搜索引擎,全球月活跃用户高达50亿人,覆盖80%全球互联网用户。受众覆盖足够的前提下,谷歌广告( Google Ads)还包括多种广告形式:搜索广告、展示广告(再营销展示广告、竞对广告)、视频广告、发现广告等全方位投放广告,关键字精准定位投放国家的相关客户,紧跟采购商的采购途径,增加获客。可以完美解决上面提到的痛点及瓶颈。 Google 360度获取优质流量: Google线上营销产品全方位助力: 营销网站+黄金账户诊断报告+定期报告=效果。 Google Ads为太多B2B出海企业带来了红利,这些红利也并不是简简单单就得来的,秘诀就是贵在坚持。多年推广经验总结:即使再好的平台,也有部分企业运营效果不好的时候,那应该怎么办?像正处在这种情况下的企业就应该放弃吗? 答案是:不,我们应该继续优化,那为什么这么说呢?就是最近遇到一个很典型的案例一家测控行业的企业,仅仅投放2个月的Google Ads,就因为询盘数量不多(日均150元,3-4封/月),投资回报率不成正比就打算放弃。 但其实2个月不足以说明什么,首先谷歌推广的探索期就是3个月,2个月基本处于平衡稳定的阶段。 其次对于刚刚做谷歌广告的新公司来说,国外客户是陌生的,即使看到广告进到网站也并不会第一时间就留言,货比三家,也会增加采购商的考虑时间,一直曝光在他的搜索结果页产生熟悉度,总会增加一些决定因素。 再有日预算150元,不足以支撑24小时点击,有时在搜索量较大的时候却没有了预算,导致了客户的流失。 最后不同的行业账户推广形式及效果也不一样,即使行业一样但是网站、公司实力等因素就不可能一模一样,即使一模一样也会因为流量竞争、推广时长等诸多因素导致效果不一样。 成功都是摸索尝试出来的,这个企业账户也一样,经过我们进一步的沟通分析决定再尝试一次, 这一次深度的分析及账户的优化后,最终效果翻了2-3倍,做到了从之前的高成本、低询盘量到现在低成本、高询盘的过渡。 这样的一个操作就是很好地开发了这个平台,通过充分利用达到了企业想要的一个效果。所以说啊,当谷歌广告做的不好的时候不应该放弃,那我们就来一起看一下这个企业是如何做到的。 2021年B2B外贸跨境获客催化剂-行业案例之测控(上) 一、主角篇-雷达液位测量仪 成立时间:2010年; 业务:微波原理的物料雷达液位测量与控制仪器生产、技术研发,雷达开发; 产业规模:客户分布在11个国家和地区,包括中国、巴西、马来西亚和沙特阿拉伯; 公司推广目标:低成本获得询盘,≤200元/封。 本次分享的主角是测控行业-雷达液位测量仪,目前预算250元/天,每周6-7封有效询盘,广告形式以:搜索广告+展示再营销为主。 过程中从一开始的控制预算150/天以搜索和展示再营销推广形式为主,1-2封询盘/周,询盘成本有时高达1000/封,客户预期是100-300的单个询盘成本,对于公司来说是能承受的价格。 以增加询盘数量为目的尝试过竞对广告和Gmail广告的推广,但投放过程中的转化不是很明显,一周的转化数据只有1-2个相比搜索广告1:5,每天都会花费,因为预算问题客户计划把重心及预算放在搜索广告上面,分析后更改账户广告结构还是以搜索+再营销为主,所以暂停这2种广告的推广。 账户调整后大约2周数据表现流量稳定,每周的点击、花费及转化基本稳定,平均为588:1213:24,询盘提升到了3-5封/周。 账户稳定后新流量的获取方法是现阶段的目标,YouTube视频广告,几万次的展示曝光几天就可以完成、单次观看价格只有几毛钱,传达给客户信息建议后,达成一致,因为这正是该客户一直所需要的低成本获取流量的途径; 另一个计划投放视频广告的原因是意识到想要增加网站访客进而增加获客只靠文字和图片已经没有太多的竞争力了,同时换位思考能够观看到视频也能提升采购商的购买几率。 所以就有了这样的后期的投放规划:搜索+展示再营销+视频广告300/天的推广形式,在谷歌浏览器的搜索端、B2B平台端、视频端都覆盖广告,实现尽可能多的客户数量。 关于具体的关于YouTube视频广告的介绍我也在另一篇案例里面有详细说明哦,指路《YouTube视频广告助力B2B突破瓶颈降低营销成本》,邀请大家去看看,干货满满,绝对让你不虚此行~ 二、方向转变篇-推广产品及国家重新定位 下面我就做一个账户实际转变前后的对比,这样大家能够更清楚一些: 最关键的来了,相信大家都想知道这个转变是怎么来的以及谷歌账户做了哪些调整把效果做上来的。抓住下面几点,相信你也会有所收获: 1. 产品投放新定位 因为企业是专门研发商用雷达,所以只投放这类的测量仪,其中大类主要分为各种物料、料位、液位测量仪器,其他的不做。根据关键字规划师查询的产品关键字在全球的搜索热度,一开始推广的只有雷达液位计/液位传感器/液位测量作为主推、无线液位变送器作为次推,产品及图片比较单一没有太多的竞争力。 后期根据全球商机洞察的行业产品搜索趋势、公司计划等结合统计结果又添加了超声波传感器、射频/电容/导纳、无线、制导雷达液位传感器、高频雷达液位变送器、无接触雷达液位计,同时增加了图片及详情的丰富性,做到了行业产品推广所需的多样性丰富性。像静压液位变送器、差压变送器没有他足够的搜索热度就没有推广。 2. 国家再筛选 转变前期的国家选取是根据海关编码查询的进口一直处在增长阶段的国家,也参考了谷歌趋势的国家参考。2018年全球进口(采购量)200.58亿美金。 采购国家排名:美国、德国、日本、英国、法国、韩国、加拿大、墨西哥、瑞典、荷兰、沙特阿拉伯。这些国家只能是参考切记跟风投放,疫情期间,实际的询盘国家还要靠数据和时间积累,做到及时止损即可。 投放过程不断摸索,经过推广数据总结,也根据实际询盘客户所在地暂停了部分国家,例如以色列、日本、老挝、摩纳哥、卡塔尔等国家和地区,加大力度投放巴西、秘鲁、智利、俄罗斯等国家即提高10%-20%的出价,主要推广地区还是在亚洲、南美、拉丁美洲、欧洲等地。 发达国家像英美加、墨西哥由于采购商的参考层面不同就单独拿出来给一小部分预算,让整体的预算花到发展中国家。通过后期每周的询盘反馈及时调整国家出价,有了现在的转变: 转变前的TOP10消耗国家: 转变后的TOP10消耗国家: 推广的产品及国家定下来之后,接下来就是做账户了,让我们继续往下看。 三、装备篇-账户投放策略 说到账户投放,前提是明确账户投放策略的宗旨:确保投资回报率。那影响投资回报率的效果指标有哪些呢?其中包含账户结构 、效果再提升(再营销、视频、智能优化等等)、网站着陆页。 那首先说明一下第一点:账户的结构,那账户结构怎么搭建呢?在以产品营销全球为目标的广告投放过程中,该客户在3个方面都有设置:预算、投放策略、搜索+再营销展示广告组合拳,缺一不可,也是上面转变后整体推广的总结。 账户结构:即推广的广告类型主要是搜索广告+再营销展示广告,如下图所示,下面来分别说明一下。 1、搜索广告结构: 1)广告系列 创建的重要性:我相信有很大一部分企业小伙伴在创建广告系列的时候都在考虑一个大方向上的问题:广告系列是针对所有国家投放吗?还是说不同的广告系列投放不同的国家呢? 实操规则:其实建议选择不同广告系列投放不同的国家,为什么呢?因为每个国家和每个国家的特点不一样,所以说在广告投放的时候应该区分开,就是着重性的投放。所以搜索广告系列的结构就是区分开国家,按照大洲划分(投放的国家比较多的情况下,这样分配可以观察不同大洲的推广数据以及方便对市场的考察)。 优化技巧:这样操作也方便按照不同大洲的上班时间调整广告投放时间,做到精准投放。 数据分析:在数据分析方面更方便观察不同大洲的数据效果,从而调整国家及其出价;进而能了解到不同大洲对于不同产品的不同需求,从而方便调整关键字。 这也引出了第二个重点调整对象—关键字,那关键字的选取是怎么去选择呢? 2)关键字 分为2部分品牌词+产品关键字,匹配形式可以采用广泛带+修饰符/词组/完全。 精准投放关键字: 品牌词:品牌词是一直推广的关键字,拓展品牌在海外的知名度应为企业首要的目的。 广告关键词:根据投放1个月数据发现:该行业里有一部分是大流量词(如Sensors、water level controller、Ultrasonic Sensor、meter、transmitter),即使是关键字做了完全匹配流量依然很大,但是实际带来的转化却很少也没有带来更多的询盘,这些词的调整过程是从修改匹配形式到降低出价再到暂停,这种就属于无效关键字了,我们要做到的是让预算花费到具体的产品关键字上。 其次流量比较大的词(如+ultrasound +sensor)修改成了词组匹配。还有一类词虽然搜索量不大但是有效性(转化次数/率)较高(例如:SENSOR DE NIVEL、level sensor、capacitive level sensor、level sensor fuel),针对这些关键字再去投放的时候出价可以相对高一些,1-3元即可。调整后的关键字花费前后对比,整体上有了大幅度的变化: 转变前的TOP10热力关键字: 转变后的TOP10热力关键字: PS: 关键字状态显示“有效”—可以采用第一种(防止错失账户投放关键字以外其他的也适合推广的该产品关键字)、如果投放一周后有花费失衡的状态可以把该关键字修改为词组匹配,观察一周还是失衡状态可改为完全匹配。 关键字状态显示“搜索量较低”—广泛匹配观察一个月,如果依然没有展示,建议暂停,否则会影响账户评级。 3)调整关键字出价 次推产品的出价都降低到了1-2元,主推产品也和实际咨询、平均每次点击费用做了对比调整到了3-4元左右(这些都是在之前高出价稳定排名基础后调整的)。 4)广告系列出价策略 基本包含尽可能争取更多点击次数/每次点击费用人工出价(智能)/目标每次转化费用3种,那分别什么时候用呢? 当账户刚刚开始投放的时候,可以选择第一/二种,用来获取更多的新客,当账户有了一定的转化数据的时候可以把其中转化次数相对少一些的1-2个广告系列的出价策略更改为“目标每次转化费用”出价,用来增加转化提升询盘数量。转化次数多的广告系列暂时可以不用更换,等更改出价策略的广告系列的转化次数有增加后,可以尝试再修改。 5)广告 1条自适应搜索广告+2条文字广告,尽可能把更多的信息展示客户,增加点击率。那具体的广告语的侧重点是什么呢? 除了产品本身的特点优势外,还是着重于企业的具体产品分类和能够为客户做到哪些服务,例如:专注于各种物体、料位、液位测量仪器生产与研发、为客户提供一体化测量解决方案等。这样进到网站的也基本是寻找相关产品的,从而也进一步提升了转化率。 6)搜索字词 建议日均花费≥200元每周筛选一次,<200元每2周筛选一次。不相关的排除、相关的加到账户中,减少无效点击和花费,这样行业关键字才会越来越精准,做到精准覆盖意向客户。 7)账户广告系列预算 充足的账户预算也至关重要,200-300/天的预算,为什么呢?预算多少其实也就代表着网站流量的多少,之前150/天的预算,账户到下午6点左右就花完了,这样每天就会流失很大一部分客户。广告系列预算可以根据大洲国家的数量分配。数量多的可以分配多一些比如亚洲,预算利用率不足时可以共享预算,把多余的预算放到花费高的系列中。 说完了搜索广告的结构后,接下来就是再营销展示广告了。 2、效果再提升-再营销展示广告结构 因为广告投放覆盖的是曾到达过网站的客户,所以搜索广告的引流精准了,再营销会再抓取并把广告覆盖到因某些原因没有选择我们的客户,做到二次营销。(详细的介绍及操作可以参考文章《精准投放再营销展示广告,就抓住了提升Google营销效果的一大步》) 1)广告组:根据在GA中创建的受众群体导入到账户中。 2)图片: 选择3种产品,每种产品的图片必须提供徽标、横向图片、纵向图片不同尺寸至少1张,最多5张,横向图片可以由多张图片合成一张、可以添加logo和产品名称。 图片设计:再营销展示广告的图片选取从之前的直接选用网站上的产品图,到客户根据我给出的建议设计了独特的产品图片,也提升了0.5%的点击率。 PS: 在广告推广过程中,该客户做过2次产品打折促销活动,信息在图片及描述中曝光,转化率上升1%,如果企业有这方面的计划,可以尝试一下。 YouTube视频链接:如果有YouTube视频的话,建议把视频放在不同的产品页面方便客户实时查看视频,增加真实性,促进询盘及成单,如果视频影响网站打开速度,只在网站标头和logo链接即可。 智能优化建议:谷歌账户会根据推广的数据及状态给出相应的智能优化建议,优化得分≥80分为健康账户分值,每条建议可根据实际情况采纳。 3、网站着陆页 这也是沟通次数很多的问题了,因为即使谷歌为网站引来再多的有质量的客户,如果到达网站后没有看到想要或更多的信息,也是无用功。网站也是企业的第二张脸,做好网站就等于成功一半了。 转变前产品图片模糊、数量少、缺少实物图、工厂库存等体现实力及真实性的图片;产品详情也不是很多,没有足够的竞争力。多次沟通积极配合修改调整后上面的问题全部解决了。网站打开速度保持在3s内、网站的跳出率从之前的80%降到了70%左右、平均页面停留时间也增加了30%。 FAQ:除了正常的网站布局外建议在关于我们或产品详情页添加FAQ,会减少采购商的考虑时间,也会减少因时差导致的与客户失联。如下图所示: 四、账户效果反馈分享篇 1、效果方面 之前每周只有1-2封询盘,现在达到了每周3-5封询盘,确实是提高了不少。 2、询盘成本 从当初的≥1000到现在控制在了100-300左右。 3、转化率 搜索广告+再营销展示广告让网站访客流量得到了充分的利用,增加了1.3%转化率。 就这样,该客户的谷歌账户推广效果有了新的转变,询盘稳定后,又开启了Facebook付费广告,多渠道推广产品,全域赢为目标,产品有市场,这样的模式肯定是如虎添翼。 到此,本次的测控案例就分享完了到这里了,其实部分行业的推广注意事项大方向上都是相通的。催化剂并不难得,找到适合自己的方法~谷歌广告贵在坚持,不是说在一个平台上做的不好就不做了,效果不理想可以改进,改进就能做好。 希望本次的测控案例分享能在某些方面起到帮助作用,在当今大环境下,助力企业增加网站流量及询盘数量,2021祝愿看到这篇文章的企业能够更上一层楼!
2022 年海外社交媒体15 个行业的热门标签
2022 年海外社交媒体15 个行业的热门标签
我们可以在社交媒体上看到不同行业,各种类型的品牌和企业,这些企业里有耳熟能详的大企业,也有刚建立的初创公司。 海外社交媒体也与国内一样是一个广阔的平台,作为跨境企业和卖家,如何让自己的品牌在海外社媒上更引人注意,让更多人看到呢? 在社交媒体上有一个功能,可能让我们的产品、内容被看到,也能吸引更多人关注,那就是标签。 2022年海外社交媒体中不同行业流行哪些标签呢?今天为大家介绍十五个行业超过140多个热门标签,让你找到自己行业的流量密码。 1、银行业、金融业 据 Forrester咨询称,银行业目前已经是一个数万亿的行业,估值正以惊人的速度飙升。银行业正在加速创新,准备加大技术、人才和金融科技方面的投资。 Z世代是金融行业的积极追随者,他们希望能够赶上投资机会。 案例: Shibtoken 是一种去中心化的加密货币,它在社交媒体上分享了一段关于诈骗的视频,受到了很大的关注度,视频告诉观众如何识别和避免陷入诈骗,在短短 20 小时内收到了 1.2K 条评论、3.6K 条转发和 1.14 万个赞。 银行和金融的流行标签 2、娱乐行业 娱乐行业一直都是有着高热度的行业,OTT (互联网电视)平台则进一步提升了娱乐行业的知名度,让每个家庭都能享受到娱乐。 案例: 仅 OTT 视频收入就达 246 亿美元。播客市场也在创造价值 10 亿美元的广告收入。 Netflix 在 YouTube 上的存在则非常有趣,Netflix会发布最新节目预告,进行炒作。即使是非 Netflix 用户也几乎可以立即登录该平台。在 YouTube 上,Netflix的订阅者数量已达到 2220 万。 3、新型微交通 目前,越来越多的人开始关注绿色出行,选择更环保的交通工具作为短距离的出行工具,微型交通是新兴行业,全球市场的复合年增长率为 17.4%,预计到2030 年将达到 195.42 美元。 Lime 是一项倡导游乐设施对人类和环境更安全的绿色倡议。他们会使用#RideGreen 的品牌标签来刺激用户发帖并推广Lime倡议。他们已经通过定期发帖吸引更多人加入微交通,并在社交媒体形成热潮。 4、时尚与美容 到 2025 年,时尚产业将是一个万亿美元的产业,数字化会持续加快这一进程。96% 的美容品牌也将获得更高的社交媒体声誉。 案例: Zepeto 在推特上发布了他们的人物风格,在短短六个小时内就有了自己的品牌人物。 5、旅游业 如果疫情能够有所缓解,酒店和旅游业很快就能从疫情的封闭影响下恢复,酒店业的行业收入可以超过 1900 亿美元,一旦疫情好转,将实现跨越式增长。 案例: Amalfiwhite 在ins上欢迎大家到英国选择他们的酒店, 精彩的Instagram 帖子吸引了很多的关注。 6.健康与健身 健康和健身品牌在社交媒体上发展迅速,其中包括来自全球行业博主的DIY 视频。到 2022 年底,健身行业的价值可以达到 1365.9 亿美元。 案例: Dan The Hinh在 Facebook 页面 发布了锻炼视频,这些健身视频在短短几个小时内就获得了 7300 次点赞和 11000 次分享。 健康和健身的热门标签 #health #healthylifestyle #stayhealthy #healthyskin #healthcoach #fitness #fitnessfreak #fitnessfood #bodyfitness #fitnessjourney 7.食品饮料业 在社交媒体上经常看到的内容类型就是食品和饮料,这一细分市场有着全网超过30% 的推文和60% 的 Facebook 帖子。 案例: Suerte BarGill 在社交媒体上分享调酒师制作饮品的视频,吸引人的视频让观看的人都很想品尝这种饮品。 食品和饮料的热门标签 #food #foodpics #foodies #goodfood #foodgram #beverages #drinks #beverage #drink #cocktails 8. 家居装饰 十年来,在线家居装饰迎来大幅增长,该利基市场的复合年增长率为4%。家居市场现在发展社交媒体也是最佳时机。 案例: Home Adore 在推特上发布家居装饰创意和灵感,目前已经有 220 万粉丝。 家居装饰的流行标签 #homedecor #myhomedecor #homedecorinspo #homedecors #luxuryhomedecor #homedecorlover #home #interiordesign #interiordecor #interiordesigner 9. 房地产 美国有超过200 万的房地产经纪人,其中70% 的人活跃在社交媒体上,加入社交媒体,是一个好机会。 案例: 房地产专家Sonoma County在推特上发布了一篇有关加州一所住宅的豪华图。房地产经纪人都开始利用社交媒体来提升销售额。 房地产的最佳标签 #realestate #realestatesales #realestateagents #realestatemarket #realestateforsale #realestategoals #realestateexperts #broker #luxuryrealestate #realestatelife 10. 牙科 到 2030年,牙科行业预计将飙升至6988 亿美元。 案例: Bridgewater NHS 在推特上发布了一条客户推荐,来建立患者对牙医服务的信任。突然之间,牙科似乎没有那么可怕了! 牙科的流行标签 #dental #dentist #dentistry #smile #teeth #dentalcare #dentalclinic #oralhealth #dentalhygiene #teethwhitening 11. 摄影 摄影在社交媒体中无处不在,持续上传作品可以增加作品集的可信度,当图片参与度增加一倍,覆盖范围增加三倍时,会获得更多的客户。 案例: 著名摄影师理查德·伯纳贝(Richard Bernabe)在推特上发布了他令人着迷的点击。这篇犹他州的帖子获得了 1900 次点赞和 238 次转发。 摄影的热门标签 #photography #photooftheday #photo #picoftheday #photoshoot #travelphotography #portraitphotography #photographylovers #iphonephotography #canonphotography 12. 技术 超过 55% 的 IT 买家会在社交媒体寻找品牌相关资料做出购买决定。这个数字足以说服这个利基市场中的任何人拥有活跃的社交媒体。 案例: The Hacker News是一个广受欢迎的平台,以分享直观的科技新闻而闻名。他们在 Twitter 上已经拥有 751K+ 的追随者。 最佳技术标签 #technology #tech #innovation #engineering #design #business #science #technew s #gadgets #smartphone 13.非政府组织 全球90% 的非政府组织会利用社交媒体向大众寻求支持。社交媒体会有捐赠、公益等组织。 案例: Mercy Ships 通过创造奇迹赢得了全世界的心。这是一篇关于他们的志愿麻醉师的帖子,他们在乌干达挽救了几条生命。 非政府组织的热门标签 #ngo #charity #nonprofit #support #fundraising #donation #socialgood #socialwork #philanthropy #nonprofitorganization 14. 教育 教育行业在过去十年蓬勃发展,借助社交媒体,教育行业有望达到新的高度。电子学习预计将在 6 年内达到万亿美元。 案例: Coursera 是一个领先的学习平台,平台会有很多世界一流大学额课程,它在社交媒体上的可以有效激励人们继续学习和提高技能。 最佳教育标签 #education #learning #school #motivation #students #study #student #children #knowledge #college 15. 医疗保健 疫情进一步证明了医疗保健行业的主导地位,以及挽救生命的力量。到 2022 年,该行业的价值将达到 10 万亿美元。 随着全球健康问题的加剧,医疗保健的兴起也将导致科技和制造业的增长。 案例: CVS Health 是美国领先的药房,积他们的官方账号在社交媒体上分享与健康相关的问题,甚至与知名运动员和著名人物合作,来提高对健康问题的关注度。 医疗保健的热门标签 #healthcare #health #covid #medical #medicine #doctor #hospital #nurse #wellness #healthylifestyle 大多数行业都开始尝试社交媒体,利用社交媒体可以获得更多的关注度和产品、服务的销量,在社交媒体企业和卖家,要关注标签的重要性,标签不仅能扩大帖子的覆盖范围,还能被更多人关注并熟知。 跨境企业和卖家可以通过使用流量高的标签了解当下人们词和竞争对手的受众都关注什么。 焦点LIKE.TG拥有丰富的B2C外贸商城建设经验,北京外贸商城建设、上海外贸商城建设、 广东外贸商城建设、深圳外贸商城建设、佛山外贸商城建设、福建外贸商城建设、 浙江外贸商城建设、山东外贸商城建设、江苏外贸商城建设...... 想要了解更多搜索引擎优化、外贸营销网站建设相关知识, 请拨打电话:400-6130-885。
2024年如何让谷歌快速收录网站页面?【全面指南】
2024年如何让谷歌快速收录网站页面?【全面指南】
什么是收录? 通常,一个网站的页面想要在谷歌上获得流量,需要经历如下三个步骤: 抓取:Google抓取你的页面,查看是否值得索引。 收录(索引):通过初步评估后,Google将你的网页纳入其分类数据库。 排名:这是最后一步,Google将查询结果显示出来。 这其中。收录(Google indexing)是指谷歌通过其网络爬虫(Googlebot)抓取网站上的页面,并将这些页面添加到其数据库中的过程。被收录的页面可以出现在谷歌搜索结果中,当用户进行相关搜索时,这些页面有机会被展示。收录的过程包括三个主要步骤:抓取(Crawling)、索引(Indexing)和排名(Ranking)。首先,谷歌爬虫会抓取网站的内容,然后将符合标准的页面加入索引库,最后根据多种因素对这些页面进行排名。 如何保障收录顺利进行? 确保页面有价值和独特性 确保页面内容对用户和Google有价值。 检查并更新旧内容,确保内容高质量且覆盖相关话题。 定期更新和重新优化内容 定期审查和更新内容,以保持竞争力。 删除低质量页面并创建内容删除计划 删除无流量或不相关的页面,提高网站整体质量。 确保robots.txt文件不阻止抓取 检查和更新robots.txt文件,确保不阻止Google抓取。 检查并修复无效的noindex标签和规范标签 修复导致页面无法索引的无效标签。 确保未索引的页面包含在站点地图中 将未索引的页面添加到XML站点地图中。 修复孤立页面和nofollow内部链接 确保所有页面通过站点地图、内部链接和导航被Google发现。 修复内部nofollow链接,确保正确引导Google抓取。 使用Rank Math Instant Indexing插件 利用Rank Math即时索引插件,快速通知Google抓取新发布的页面。 提高网站质量和索引过程 确保页面高质量、内容强大,并优化抓取预算,提高Google快速索引的可能性。 通过这些步骤,你可以确保Google更快地索引你的网站,提高搜索引擎排名。 如何加快谷歌收录你的网站页面? 1、提交站点地图 提交站点地图Sitemap到谷歌站长工具(Google Search Console)中,在此之前你需要安装SEO插件如Yoast SEO插件来生成Sitemap。通常当你的电脑有了SEO插件并开启Site Map功能后,你可以看到你的 www.你的域名.com/sitemap.xml的形式来访问你的Site Map地图 在谷歌站长工具中提交你的Sitemap 2、转发页面or文章至社交媒体或者论坛 谷歌对于高流量高权重的网站是会经常去爬取收录的,这也是为什么很多时候我们可以在搜索引擎上第一时间搜索到一些最新社媒帖文等。目前最适合转发的平台包括Facebook、Linkedin、Quora、Reddit等,在其他类型的论坛要注意转发文章的外链植入是否违背他们的规则。 3、使用搜索引擎通知工具 这里介绍几个搜索引擎通知工具,Pingler和Pingomatic它们都是免费的,其作用是告诉搜索引擎你提交的某个链接已经更新了,吸引前来爬取。是的,这相当于提交站点地图,只不过这次是提交给第三方。 4、在原有的高权重页面上设置内链 假设你有一些高质量的页面已经获得不错的排名和流量,那么可以在遵循相关性的前提下,适当的从这些页面做几个内链链接到新页面中去,这样可以快速让新页面获得排名
虚拟流量

                                 12个独立站增长黑客办法
12个独立站增长黑客办法
最近总听卖家朋友们聊起增长黑客,所以就给大家总结了一下增长黑客的一些方法。首先要知道,什么是增长黑客? 增长黑客(Growth Hacking)是营销人和程序员的混合体,其目标是产生巨大的增长—快速且经常在预算有限的情况下,是实现短时间内指数增长的最有效手段。增长黑客户和传统营销最大的区别在于: 传统营销重视认知和拉新获客增长黑客关注整个 AARRR 转换漏斗 那么,增长黑客方法有哪些呢?本文总结了12个经典增长黑客方法,对一些不是特别普遍的方法进行了延伸说明,建议收藏阅读。目 录1. SEO 2. 细分用户,低成本精准营销 3. PPC广告 4. Quora 流量黑客 5. 联合线上分享 6. 原生广告内容黑客 7. Google Ratings 8. 邮件营销 9. 调查问卷 10. 用户推荐 11. 比赛和赠送 12. 3000字文案营销1. SEO 查看 AdWords 中转化率最高的关键字,然后围绕这些关键字进行SEO策略的制定。也可以查看 Google Search Console 中的“搜索查询”报告,了解哪些关键字帮助你的网站获得了更多的点击,努力将关键词提升到第1页。用好免费的Google Search Console对于提升SEO有很大帮助。 使用Google Search Console可以在【Links】的部分看到哪个页面的反向连结 (Backlink)最多,从各个页面在建立反向连结上的优劣势。Backlink 的建立在 SEO 上来说是非常重要的! 在 【Coverage】 的部分你可以看到网站中是否有任何页面出现了错误,避免错误太多影响网站表现和排名。 如果担心Google 的爬虫程式漏掉一些页面,还可以在 Google Search Console 上提交网站的 Sitemap ,让 Google 的爬虫程式了解网站结构,避免遗漏页面。 可以使用XML-Sitemaps.com 等工具制作 sitemap,使用 WordPress建站的话还可以安装像Google XML Sitemaps、Yoast SEO 等插件去生成sitemap。2. 细分用户,低成本精准营销 针对那些看过你的产品的销售页面但是没有下单的用户进行精准营销,这样一来受众就会变得非常小,专门针对这些目标受众的打广告还可以提高点击率并大幅提高转化率,非常节约成本,每天经费可能都不到 10 美元。3. PPC广告PPC广告(Pay-per-Click):是根据点击广告或者电子邮件信息的用户数量来付费的一种网络广告定价模式。PPC采用点击付费制,在用户在搜索的同时,协助他们主动接近企业提供的产品及服务。例如Amazon和Facebook的PPC广告。4. Quora 流量黑客 Quora 是一个问答SNS网站,类似于国内的知乎。Quora的使用人群主要集中在美国,印度,英国,加拿大,和澳大利亚,每月有6亿多的访问量。大部分都是通过搜索词,比如品牌名和关键词来到Quora的。例如下图,Quora上对于痘痘肌修复的问题就排在Google搜索相关词的前列。 通过SEMrush + Quora 可以提高在 Google 上的自然搜索排名: 进入SEMrush > Domain Analytics > Organic Research> 搜索 quora.com点击高级过滤器,过滤包含你的目标关键字、位置在前10,搜索流量大于 100 的关键字去Quora在这些问题下发布回答5. 联合线上分享 与在你的领域中有一定知名度的影响者进行线上讲座合作(Webinar),在讲座中传递一些意义的内容,比如一些与你产品息息相关的干货知识,然后将你的产品应用到讲座内容提到的一些问题场景中,最后向用户搜集是否愿意了解你们产品的反馈。 但是,Webinar常见于B2B营销,在B2C领域还是应用的比较少的,而且成本较高。 所以大家在做海外营销的时候不妨灵活转换思维,和领域中有知名度的影响者合作YouTube视频,TikTok/Instagram等平台的直播,在各大社交媒体铺开宣传,是未来几年海外营销的重点趋势。6. 原生广告内容黑客 Native Advertising platform 原生广告是什么?从本质上讲,原生广告是放置在网页浏览量最多的区域中的内容小部件。 简单来说,就是融合了网站、App本身的广告,这种广告会成为网站、App内容的一部分,如Google搜索广告、Facebook的Sponsored Stories以及Twitter的tweet式广告都属于这一范畴。 它的形式不受标准限制,是随场景而变化的广告形式。有视频类、主题表情原生广告、游戏关卡原生广告、Launcher桌面原生广告、Feeds信息流、和手机导航类。7. Google Ratings 在 Google 搜索结果和 Google Ads 上显示产品评分。可以使用任何与Google能集成的电商产品评分应用,并将你网站上的所有评论导入Google系统中。每次有人在搜索结果中看到你的广告或产品页面时,他们都会在旁边看到评分数量。 8. 邮件营销 据外媒统计,80% 的零售行业人士表示电子邮件营销是留住用户的一个非常重要的媒介。一般来说,邮件营销有以下几种类型: 弃单挽回邮件产品补货通知折扣、刮刮卡和优惠券发放全年最优价格邮件通知9. 用户推荐 Refer激励现有用户推荐他人到你的独立站下单。举个例子,Paypal通过用户推荐使他们的业务每天有 7% 到 10%的增长。因此,用户推荐是不可忽视的增长办法。10. 调查问卷 调查问卷是一种快速有效的增长方式,不仅可以衡量用户满意度,还可以获得客户对你产品的期望和意见。调查问卷的内容包括产品体验、物流体验、UI/UX等任何用户购买产品过程中遇到的问题。调查问卷在AARRR模型的Refer层中起到重要的作用,只有搭建好和客户之间沟通的桥梁,才能巩固你的品牌在客户心中的地位,增加好感度。 11. 比赛和赠送 这个增长方式的成本相对较低。你可以让你的用户有机会只需要通过点击就可以赢得他们喜欢的东西,同时帮你你建立知名度并获得更多粉丝。许多电商品牌都以比赛和赠送礼物为特色,而这也是他们成功的一部分。赠送礼物是增加社交媒体帐户曝光和电子邮件列表的绝佳方式。如果您想增加 Instagram 粉丝、Facebook 页面点赞数或电子邮件订阅者,比赛和赠送会创造奇迹。在第一种情况下,你可以让你的受众“在 Instagram 上关注我们来参加比赛”。同样,您可以要求他们“输入电子邮件地址以获胜”。有许多内容可以用来作为赠送礼物的概念:新产品发布/预发售、摄影比赛、节假日活动和赞助活动。12. 3000字文案营销 就某一个主题撰写 3,000 字的有深度博客文章。在文章中引用行业影响者的名言并链接到他们的博文中,然后发邮件让他们知道你在文章中推荐了他们,促进你们之间的互动互推。这种增长办法广泛使用于B2B的服务类网站,比如Shopify和Moz。 DTC品牌可以用这样的增长办法吗?其实不管你卖什么,在哪个行业,展示你的专业知识,分享新闻和原创观点以吸引消费者的注意。虽然这可能不会产生直接的销售,但能在一定程度上影响他们购买的决定,不妨在你的独立站做出一个子页面或单独做一个博客,发布与你产品/服务相关主题的文章。 数据显示,在阅读了品牌网站上的原创博客内容后,60%的消费者对品牌的感觉更积极。如果在博客中能正确使用关键词,还可以提高搜索引擎优化及排名。 比如Cottonbabies.com就利用博文把自己的SEO做得很好。他们有一个针对“布料尿布基础知识”的页面,为用户提供有关“尿布:”主题的所有问题的答案。小贴士:记得要在博客文章末尾链接到“相关产品”哦~本文转载自:https://u-chuhai.com/?s=seo

                                 2021 Shopify独立站推广引流 获取免费流量方法
2021 Shopify独立站推广引流 获取免费流量方法
独立站的流量一般来自两个部分,一种是付费打广告,另外一种就是免费的自然流量,打广告带来的流量是最直接最有效的流量,免费流量可能效果不会那么直接,需要时间去积累和沉淀。但是免费的流量也不容忽视,第一,这些流量是免费的,第二,这些流量是长久有效的。下面分享几个免费流量的获取渠道和方法。 1.SNS 社交媒体营销 SNS 即 Social Network Services,国外最主流的 SNS 平台有 Facebook、Twitter、Linkedin、Instagram 等。SNS 营销就是通过运营这些社交平台,从而获得流量。 SNS 营销套路很多,但本质还是“眼球经济”,简单来说就是把足够“好”的内容,分享给足够“好”的人。好的内容就是足够吸引人的内容,而且这些内容确保不被人反感;好的人就是对你内容感兴趣的人,可能是你的粉丝,也可能是你潜在的粉丝。 如何把你想要发的内容发到需要的人呢?首先我们要确定自己的定位,根据不同的定位在社交媒体平台发布不同的内容,从而自己品牌的忠实粉丝。 1、如果你的定位是营销类的,一般要在社交媒体发布广告贴文、新品推送、优惠信息等。适合大多数电商产品,它的带货效果好,不过需要在短期内积累你的粉丝。如果想要在短期内积累粉丝就不可避免需要使用付费广告。 2、如果你的定位是服务类的,一般要在社交媒体分享售前售后的信息和服务,一般 B2B 企业使用的比较多。 3、如果你的定位是专业类科技产品,一般要在社交媒体分享产品开箱测评,竞品分析等。一般 3C 类的产品适合在社交媒体分享这些内容,像国内也有很多评测社区和网站,这类社区的粉丝一般购买力都比较强。 4、如果你的定位是热点类的,一般要在社交媒体分享行业热点、新闻资讯等内容。因为一般都是热点,所以会带来很多流量,利用这些流量可以快速引流,实现变现。 5、如果你的定位是娱乐类的:一般要在社交媒体分享泛娱乐内容,适合分享钓具、定制、改装类的内容。 2.EDM 邮件营销 很多人对邮件营销还是不太重视,国内一般都是使用在线沟通工具,像微信、qq 比较多,但是在国外,电子邮件则是主流的沟通工具,很多外国人每天使用邮箱的频率跟吃饭一样,所以通过电子邮件营销也是国外非常重要的营销方式。 定期制作精美有吸引力的邮件内容,发给客户,把邮件内容设置成跳转到网站,即可以给网站引流。 3.联盟营销 卖家在联盟平台上支付一定租金并发布商品,联盟平台的会员领取联盟平台分配的浏览等任务,如果会员对这个商品感兴趣,会领取优惠码购买商品,卖家根据优惠码支付给联盟平台一定的佣金。 二、网站SEO引流 SEO(Search Engine Optimization)搜索引擎优化,是指通过采用易于搜索引擎索引的合理手段,使网站各项基本要素适合搜索引擎的检索原则并且对用户更友好,从而更容易被搜索引擎收录及优先排序。 那 SEO 有什么作用嘛?简而言之分为两种,让更多的用户更快的找到他想要的东西;也能让有需求的客户首先找到你。作为卖家,更关心的是如何让有需求的客户首先找到你,那么你就要了解客户的需求,站在客户的角度去想问题。 1.SEO 标签书写规范 通常标签分为标题、关键词、描述这三个部分,首先你要在标题这个部分你要说清楚“你是谁,你干啥,有什么优势。”让人第一眼就了解你,这样才能在第一步就留住有效用户。标题一般不超过 80 个字符;其次,关键词要真实的涵盖你的产品、服务。一般不超过 100 个字符;最后在描述这里,补充标题为表达清楚的信息,一般不超过 200 个字符。 标题+描述 值得注意的是标题+描述,一般会成为搜索引擎检索结果的简介。所以标题和描述一定要完整表达你的产品和品牌的特点和优势。 关键词 关键词的设定也是非常重要的,因为大多数用户购买产品不会直接搜索你的商品,一般都会直接搜索想要购买产品的关键字。关键词一般分为以下四类。 建议目标关键词应该是品牌+产品,这样用户无论搜索品牌还是搜索产品,都能找到你的产品,从而提高命中率。 那如何选择关键词呢?拿我们最常使用的目标关键词举例。首先我们要挖掘出所有的相关关键词,并挑选出和网站自身直接相关的关键词,通过分析挑选出的关键词热度、竞争力,从而确定目标关键词。 注:一般我们都是通过关键词分析工具、搜索引擎引导词、搜索引擎相关搜索、权重指数以及分析同行网站的关键词去分析确定目标关键词。 几个比较常用的关键词分析工具: (免费)MozBar: https://moz.com (付费)SimilarWeb: https://www.similarweb.com/ 2.链接锚文本 什么是锚文本? 一个关键词,带上一个链接,就是一个链接锚文本。带链接的关键词就是锚文本。锚文本在 SEO 过程中起到本根性的作用。简单来说,SEO 就是不断的做锚文本。锚文本链接指向的页面,不仅是引导用户前来访问网站,而且告诉搜索引擎这个页面是“谁”的最佳途径。 站内锚文本 发布站内描文本有利于蜘蛛快速抓取网页、提高权重、增加用户体验减少跳出、有利搜索引擎判断原创内容。你在全网站的有效链接越多,你的排名就越靠前。 3 外部链接什么是外部链接? SEO 中的外部链接又叫导入链接,简称外链、反链。是由其他网站上指向你的网站的链接。 如何知道一个网站有多少外链? 1.Google Search Console 2.站长工具 3.MozBar 4.SimilarWeb 注:低权重、新上线的网站使用工具群发外链初期会得到排名的提升,但被搜索引擎发现后,会导致排名大幅度下滑、降权等。 如何发布外部链接? 通过友情链接 、自建博客 、软文 、论坛 、问答平台发布外链。以下几个注意事项: 1.一个 url 对应一个关键词 2.外链网站与自身相关,像鱼竿和鱼饵,假发和假发护理液,相关却不形成竞争是最好。 3.多找优质网站,大的门户网站(像纽约时报、BBC、WDN 新闻网) 4.内容多样性, 一篇帖子不要重复发 5.频率自然,一周两三篇就可以 6.不要作弊,不能使用隐藏链接、双向链接等方式发布外链 7.不要为了发外链去发外链,“好”的内容才能真正留住客户 4.ALT 标签(图片中的链接) 在产品或图片管理里去编辑 ALT 标签,当用户搜索相关图片时,就会看到图片来源和图片描述。这样能提高你网站关键词密度,从而提高你网站权重。 5.网页更新状态 网站如果经常更新内容的话,会加快这个页面被收录的进度。此外在网站上面还可以添加些“最新文章”版块及留言功能。不要只是为了卖产品而卖产品,这样一方面可以增加用户的粘性,另一方面也加快网站的收录速度。 6.搜索跳出率 跳出率越高,搜索引擎便越会认为你这是个垃圾网站。跳出率高一般有两个原因,用户体验差和广告效果差,用户体验差一般都是通过以下 5 个方面去提升用户体验: 1.优化网站打开速度 2.网站内容整洁、排版清晰合理 3.素材吸引眼球 4.引导功能完善 5.搜索逻辑正常、产品分类明确 广告效果差一般通过这两个方面改善,第一个就是真实宣传 ,确保你的产品是真实的,切勿挂羊头卖狗肉。第二个就是精准定位受众,你的产品再好,推给不需要的人,他也不会去看去买你的产品,这样跳出率肯定会高。本文转载自:https://u-chuhai.com/?s=seo

                                 2022,国际物流发展趋势如何?
2022,国际物流发展趋势如何?
受新冠疫情影响,从2020年下半年开始,国际物流市场出现大规模涨价、爆舱、缺柜等情况。中国出口集装箱运价综合指数去年12月末攀升至1658.58点,创近12年来新高。去年3月苏伊士运河“世纪大堵船”事件的突发,导致运力紧缺加剧,集运价格再创新高,全球经济受到影响,国际物流行业也由此成功出圈。 加之各国政策变化、地缘冲突等影响,国际物流、供应链更是成为近两年行业内关注的焦点。“拥堵、高价、缺箱、缺舱”是去年海运的关键词条,虽然各方也尝试做出了多种调整,但2022年“高价、拥堵”等国际物流特点仍影响着国际社会的发展。 总体上来看,由疫情带来的全球供应链困境会涉及到各行各业,国际物流业也不例外,将继续面对运价高位波动、运力结构调整等状况。在这一复杂的环境中,外贸人要掌握国际物流的发展趋势,着力解决当下难题,找到发展新方向。 国际物流发展趋势 由于内外部因素的影响,国际物流业的发展趋势主要表现为“运力供需矛盾依旧存在”“行业并购整合风起云涌”“新兴技术投入持续增长”“绿色物流加快发展”。 1.运力供需矛盾依旧存在 运力供需矛盾是国际物流业一直存在的问题,近两年这一矛盾不断加深。疫情的爆发更是成了运力矛盾激化、供需紧张加剧的助燃剂,使得国际物流的集散、运输、仓储等环节无法及时、高效地进行连接。各国先后实施的防疫政策,以及受情反弹和通胀压力加大影响,各国经济恢复程度不同,造成全球运力集中在部分线路与港口,船只、人员难以满足市场需求,缺箱、缺舱、缺人、运价飙升、拥堵等成为令物流人头疼的难题。 对物流人来说,自去年下半年开始,多国疫情管控政策有所放松,供应链结构加快调整,运价涨幅、拥堵等难题得到一定缓解,让他们再次看到了希望。2022年,全球多国采取的一系列经济恢复措施,更是缓解了国际物流压力。但由运力配置与现实需求之间的结构性错位导致的运力供需矛盾,基于纠正运力错配短期内无法完成,这一矛盾今年会继续存在。 2.行业并购整合风起云涌 过去两年,国际物流行业内的并购整合大大加快。小型企业间不断整合,大型企业和巨头则择机收购,如Easysent集团并购Goblin物流集团、马士基收购葡萄牙电商物流企业HUUB等,物流资源不断向头部靠拢。 国际物流企业间的并购提速,一方面,源于潜在的不确定性和现实压力,行业并购事件几乎成为必然;另一方面,源于部分企业积极准备上市,需要拓展产品线,优化服务能力,增强市场竞争力,提升物流服务的稳定性。与此同时,由疫情引发的供应链危机,面对供需矛盾严重,全球物流失控,企业需要打造自主可控的供应链。此外,全球航运企业近两年大幅增长的盈利也为企业发起并购增加了信心。 在经历两个年度的并购大战后,今年的国际物流行业并购会更加集中于垂直整合上下游以提升抗冲击能力方面。对国际物流行业而言,企业积极的意愿、充足的资本以及现实的诉求都将使并购整合成为今年行业发展的关键词。 3.新兴技术投入持续增长 受疫情影响,国际物流企业在业务开展、客户维护、人力成本、资金周转等方面的问题不断凸显。因而,部分中小微国际物流企业开始寻求改变,如借助数字化技术降低成本、实现转型,或与行业巨头、国际物流平台企业等合作,从而获得更好的业务赋能。电子商务、物联网、云计算、大数据、区块链、5G、人工智能等数字技术为突破这些困难提供了可能性。 国际物流数字化领域投融资热潮也不断涌现。经过近些年来的发展,处于细分赛道头部的国际物流数字化企业受到追捧,行业大额融资不断涌现,资本逐渐向头部聚集,如诞生于美国硅谷的Flexport在不到五年时间里总融资额高达13亿美元。另外,由于国际物流业并购整合的速度加快,新兴技术的应用就成了企业打造和维持核心竞争力的主要方式之一。因而,2022年行业内新技术的应用或将持续增长。 4.绿色物流加快发展 近年来全球气候变化显著,极端天气频繁出现。自1950年以来,全球气候变化的原因主要来自于温室气体排放等人类活动,其中,CO₂的影响约占三分之二。为应对气候变化,保护环境,各国政府积极开展工作,形成了以《巴黎协定》为代表的一系列重要协议。 而物流业作为国民经济发展的战略性、基础性、先导性产业,肩负着实现节能降碳的重要使命。根据罗兰贝格发布的报告,交通物流行业是全球二氧化碳排放的“大户”,占全球二氧化碳排放量的21%,当前,绿色低碳转型加速已成为物流业共识,“双碳目标”也成行业热议话题。 全球主要经济体已围绕“双碳”战略,不断深化碳定价、碳技术、能源结构调整等重点措施,如奥地利政府计划在2040年实现“碳中和/净零排放”;中国政府计划在2030年实现“碳达峰”,在2060年实现“碳中和/净零排放”。基于各国在落实“双碳”目标方面做出的努力,以及美国重返《巴黎协定》的积极态度,国际物流业近两年围绕“双碳”目标进行的适应性调整在今年将延续,绿色物流成为市场竞争的新赛道,行业内减少碳排放、推动绿色物流发展的步伐也会持续加快。 总之,在疫情反复、突发事件不断,运输物流链阶段性不畅的情况下,国际物流业仍会根据各国政府政策方针不断调整业务布局和发展方向。 运力供需矛盾、行业并购整合、新兴技术投入、物流绿色发展,将对国际物流行业的发展产生一定影响。对物流人来说,2022年仍是机遇与挑战并存的一年。本文转载自:https://u-chuhai.com/?s=seo
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LIKE.TG出海| 推荐出海人最好用的LINE营销系统-云控工具
LIKE.TG出海| 推荐出海人最好用的LINE营销系统-云控工具
在数字化营销的快速发展中,各种社交应用和浏览器为企业提供了丰富的营销系统。其中,LINE营销系统作为一种新兴的社交媒体营销手段,越来越受到企业的重视。同时,比特浏览器作为一种注重隐私和安全的浏览器,也为用户提供了更安全的上网体验。本文LIKE.TG将探讨这两者之间的相互作用,分析它们如何结合为企业带来更高效的营销效果。最好用的LINE营销系统:https://tool.like.tg/免费试用请联系LIKE.TG✈官方客服: @LIKETGAngel一、LINE营销系统概述LINE营销系统是指通过LINE平台开展的一系列营销活动。它利用LINE的即时通讯功能,帮助企业与客户建立紧密的联系。LINE营销系统的核心要素包括:1.群组和频道管理:企业可以创建和管理LINE群组与频道,实时与用户互动,分享产品信息、促销活动和品牌故事。2.用户数据分析:通过分析用户在LINE上的行为,企业能够获取市场洞察,优化产品与服务。3.自动化工具:利用LINE的API,企业可以创建自动化聊天机器人,提供24小时客户服务,提升用户体验。这种系统的优势在于其高效的沟通方式,使品牌能够快速响应客户需求,并通过个性化服务增强客户忠诚度。二、比特浏览器的特点比特浏览器是一款强调用户隐私和安全的浏览器,它在保护用户数据和提供优质上网体验方面具有明显优势。其特点包括:1.隐私保护:比特浏览器通过多重加密保护用户的浏览数据,防止个人信息泄露。2.去中心化特性:用户可以更自由地访问内容,而不受传统浏览器的限制。3.扩展功能:比特浏览器支持多种扩展,能够满足用户个性化的需求,比如广告拦截和隐私保护工具。比特浏览器的设计理念使得它成为那些关注隐私和安全用户的理想选择,这对企业在进行线上营销时,尤其是在数据保护方面提出了更高的要求。三、LINE营销系统与比特浏览器的互补作用 1.用户体验的提升 LINE营销系统的目标是通过即时通讯与用户建立良好的互动关系,而比特浏览器则为用户提供了一个安全的上网环境。当企业通过LINE进行营销时,用户使用比特浏览器访问相关内容,能够享受到更加安全、流畅的体验。这样的组合使得企业能够更好地满足用户的需求,从而提高客户的满意度和忠诚度。 2.数据安全的保障 在数字营销中,数据安全至关重要。企业在使用LINE营销系统收集用户数据时,面临着数据泄露的风险。比特浏览器提供的隐私保护功能能够有效降低这一风险,确保用户在访问企业页面时,个人信息不会被泄露。通过结合这两者,企业不仅能够进行有效的营销,还能够在用户中建立起良好的信任感。 3.营销活动的有效性 LINE营销系统可以帮助企业精准定位目标受众,而比特浏览器则使得用户在浏览营销内容时感受到安全感,这样的结合有助于提升营销活动的有效性。当用户对品牌产生信任后,他们更可能参与活动、购买产品,并进行二次传播,形成良好的口碑效应。四、实际案例分析 为了更好地理解LINE营销系统与比特浏览器的结合效果,我们可以考虑一个成功的案例。一家新兴的电商平台决定通过LINE进行一项促销活动。他们在LINE频道中发布了一系列关于新产品的宣传信息,并引导用户访问专门为此次活动设置的页面。 为了提升用户体验,该平台鼓励用户使用比特浏览器访问这些页面。用户通过比特浏览器访问时,能够享受到更安全的浏览体验,从而更加放心地参与活动。此外,平台还利用LINE的自动化工具,为用户提供实时的咨询和支持。 这一策略取得了显著的效果。通过LIKE.TG官方云控大师,LINE营销系统,电商平台不仅成功吸引了大量用户参与活动,转化率也显著提升。同时,用户反馈表明,他们在使用比特浏览器时感到非常安心,愿意继续关注该品牌的后续活动。五、营销策略的优化建议 尽管LINE营销系统和比特浏览器的结合能够带来诸多优势,但在实际应用中,企业仍需注意以下几点:1.用户教育:许多用户可能对LINE和比特浏览器的结合使用不够了解,因此企业应提供必要的教育和培训,让用户了解如何使用这两种工具进行安全的在线互动。2.内容的多样性:为了吸引用户的兴趣,企业需要在LINE营销中提供多样化的内容,包括视频、图文和互动问答等,使用户在使用比特浏览器时有更丰富的体验。3.持续的效果评估:企业应定期对营销活动的效果进行评估,了解用户在使用LINE和比特浏览器时的反馈,及时调整策略以提升活动的有效性。六、未来展望 随着数字营销的不断演进,LINE营销系统和比特浏览器的结合将会变得越来越重要。企业需要不断探索如何更好地利用这两者的优势,以满足日益增长的用户需求。 在未来,随着技术的发展,LINE营销系统可能会集成更多智能化的功能,例如基于AI的个性化推荐和精准广告投放。而比特浏览器也可能会进一步加强其隐私保护机制,为用户提供更为安全的上网体验。这些发展将为企业带来更多的营销机会,也将改变用户与品牌之间的互动方式。 在数字化营销的新时代,LINE营销系统和比特浏览器的结合为企业提供了一个全新的营销视角。通过优化用户体验、保障数据安全和提升营销活动的有效性,企业能够在激烈的市场竞争中占据优势。尽管在实施过程中可能面临一些挑战,但通过合理的策略,企业将能够充分利用这一结合,最终实现可持续的发展。未来,随着技术的不断进步,这一领域将继续为企业提供更多的机会与挑战。免费使用LIKE.TG官方:各平台云控,住宅代理IP,翻译器,计数器,号段筛选等出海工具;请联系LIKE.TG✈官方客服: @LIKETGAngel想要了解更多,还可以加入LIKE.TG官方社群 LIKE.TG生态链-全球资源互联社区。
LIKE.TG出海|kookeey:团队优选的住宅代理服务
LIKE.TG出海|kookeey
团队优选的住宅代理服务
在当今互联网时代, 住宅代理IP 已成为许多企业和团队绕不开的技术工具。为了确保这些代理的顺利运行,ISP白名单的设置显得尤为重要。通过将 住宅代理IP 添加至白名单,可以有效提升代理连接的稳定性,同时避免因网络限制而引发的不必要麻烦。isp whitelist ISP白名单(Internet Service Provider Whitelist)是指由网络服务提供商维护的一组信任列表,将信任的IP地址或域名标记为无需进一步检查或限制的对象。这对使用 住宅代理IP 的用户尤其重要,因为某些ISP可能对陌生或不常见的IP流量采取防护措施,从而影响网络访问的速度与体验。二、设置isp whitelist(ISP白名单)的重要性与优势将 住宅代理IP 添加到ISP白名单中,不仅能优化网络连接,还能带来以下显著优势:提升网络连接稳定性ISP白名单能够有效避免IP地址被错误标记为异常流量或潜在威胁,这对使用 住宅代理IP 的团队而言尤为重要。通过白名单设置,网络通信的中断率将显著降低,从而保证代理服务的连续性。避免验证环节在某些情况下,ISP可能会针对未知的IP地址触发额外的验证流程。这些验证可能导致操作延迟,甚至直接限制代理的功能。而通过将 住宅代理IP 纳入白名单,团队可以免除不必要的干扰,提升工作效率。增强数据传输的安全性白名单机制不仅可以优化性能,还能确保流量来源的可信度,从而降低网络攻击的风险。这对于依赖 住宅代理IP 处理敏感数据的企业来说,尤为重要。三、如何将住宅代理IP添加到ISP白名单添加 住宅代理IP 到ISP白名单通常需要以下步骤:确认代理IP的合法性在向ISP提交白名单申请前,确保代理IP来源合法,且服务商信誉良好。像 LIKE.TG 提供的住宅代理IP 就是一个值得信赖的选择,其IP资源丰富且稳定。联系ISP提供支持与ISP的技术支持团队联系,说明将特定 住宅代理IP 添加到白名单的需求。多数ISP会要求填写申请表格,并提供使用代理的具体场景。提交必要文档与信息通常需要提交代理服务的基本信息、IP范围,以及使用目的等细节。像 LIKE.TG 平台提供的服务,可以帮助用户快速获取所需的相关材料。等待审核并测试连接在ISP完成审核后,测试 住宅代理IP 的连接性能,确保其运行无异常。四、为何推荐LIKE.TG住宅代理IP服务当谈到住宅代理服务时, LIKE.TG 是业内的佼佼者,其提供的 住宅代理IP 不仅数量丰富,而且连接速度快、安全性高。以下是选择LIKE.TG的几大理由:全球覆盖范围广LIKE.TG的 住宅代理IP 覆盖全球多个国家和地区,无论是本地化业务需求,还是跨国访问,都能轻松满足。高效的客户支持无论在IP分配还是白名单设置中遇到问题,LIKE.TG都能提供及时的技术支持,帮助用户快速解决难题。灵活的定制服务用户可根据自身需求,选择合适的 住宅代理IP,并通过LIKE.TG的平台进行灵活配置。安全与隐私保障LIKE.TG对数据安全有严格的保护措施,其 住宅代理IP 服务采用先进的加密技术,确保传输过程中的隐私无忧。五、ISP白名单与住宅代理IP的完美结合将 住宅代理IP 纳入ISP白名单,是提升网络效率、保障数据安全的关键步骤。无论是出于业务需求还是隐私保护,选择优质的代理服务商至关重要。而 LIKE.TG 提供的住宅代理服务,以其卓越的性能和优质的用户体验,成为团队和企业的理想选择。如果您正在寻找稳定、安全的 住宅代理IP,并希望与ISP白名单功能完美结合,LIKE.TG无疑是值得信赖的合作伙伴。LIKE.TG海外住宅IP代理平台1.丰富的静/动态IP资源/双ISP资源提供大量可用的静态和动态IP,低延迟、独享使用,系统稳定性高达99%以上,确保您的网络体验流畅无忧。2.全球VPS服务器覆盖提供主要国家的VPS服务器,节点资源充足,支持低延迟的稳定云主机,为您的业务运行保驾护航。3.LIKE.TG全生态支持多平台多账号防关联管理。无论是海外营销还是账号运营,都能为您打造最可靠的网络环境。4.全天候技术支持真正的24小时人工服务,专业技术团队随时待命,为您的业务需求提供个性化咨询和技术解决方案。免费使用LIKE.TG官方:各平台云控,住宅代理IP,翻译器,计数器,号段筛选等出海工具;请联系LIKE.TG✈官方客服: @LIKETGAngel想要了解更多,还可以加入LIKE.TG官方社群 LIKE.TG生态链-全球资源互联社区/联系客服进行咨询领取官方福利哦!
LIKE.TG出海|Line智能云控拓客营销系统   一站式营销平台助您实现海外推广
LIKE.TG出海|Line智能云控拓客营销系统 一站式营销平台助您实现海外推广
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