Supply third-party e-commerce publishing system with efficient data integration function

Abstract

The invention discloses a supply third-party e-commerce publishing system with an efficient data integration function, and relates to the field of carbon emission reduction metering for packaging material recovery, and the system comprises a data receiving module, a data processing module, a classification label module, a data synchronization module and an operation interface module. The data receiving module is used for receiving original commodity data provided by a supplier, and the module is connected with a data source of the supplier so as to obtain information such as names, description, specifications and pictures of commodities; and the data processing module. According to the supply third-party e-commerce publishing system with the efficient data integration function, efficient data integration is realized, the operation cost of suppliers is reduced, the healthy development of the e-commerce industry is promoted, and the market competitiveness of the e-commerce industry is improved. The supply third-party e-commerce publishing system with the efficient data integration function has remarkable beneficial effects in multiple aspects of technology, economy, society and the like.

Description

Technical Field

[0001] This invention relates to the field of e-commerce listing, and in particular to a third-party e-commerce listing system with efficient data integration capabilities. Background Technology

[0002] In today's digital business era, the e-commerce industry is booming, and third-party e-commerce platforms play a crucial role in the circulation and sale of goods. However, existing third-party e-commerce listing systems face numerous problems and challenges in data integration.

[0003] Currently, the e-commerce market is highly competitive, and many suppliers need to list their products on multiple e-commerce platforms to expand their sales channels. However, different e-commerce platforms have different requirements for the format and specifications of product data. Some platforms require detailed and standardized product descriptions, including specific keywords and product characteristics; while others focus more on image quality and size. This means that suppliers need to spend a lot of time and effort adjusting and adapting product data when listing products on different platforms. For example, regarding product images, different platforms have different requirements for image resolution, size, and format. Suppliers may need to use professional image processing software to crop, adjust resolution, and convert format multiple times for the same product image to meet the requirements of each platform. This process is not only tedious but also prone to errors. If the image does not meet the platform's requirements, the product may not be able to be listed, affecting sales progress.

[0004] Different e-commerce platforms have their own standards for classifying and tagging product data. Some platforms have more detailed classification systems, covering numerous subcategories, while others are relatively broad. Suppliers need to reclassify and tag their products according to the classification standards of different platforms. This is a huge challenge for suppliers with a wide variety of products. For example, a multi-functional electronic product might be classified as "Digital Products - Multi-functional Devices" on one platform, while it might be classified as "Electronic Accessories - General" on another. Suppliers need to accurately understand the classification rules of each platform and make corresponding adjustments; otherwise, their products may not be accurately displayed in search results, affecting exposure and sales.

[0005] Furthermore, existing third-party e-commerce listing systems have shortcomings in data updates. When product prices, inventory, specifications, and other information change, suppliers need to log in to each e-commerce platform separately and manually update the product data. This is not only inefficient but also prone to omissions. For example, if a product is out of stock and the supplier fails to update the inventory information on all platforms in a timely manner, it may result in orders not being shipped promptly, affecting customer satisfaction. Moreover, because the user interfaces and processes differ across platforms, suppliers need to spend time familiarizing themselves with the update procedures for each platform, increasing operational costs.

[0006] Existing third-party e-commerce listing systems suffer from numerous shortcomings in data integration. Issues such as difficulties in data format adaptation, inconsistent category tags, and untimely data updates lead to inefficiency, increased costs, and a high risk of errors and omissions for suppliers listing products on e-commerce platforms. These problems severely impact suppliers' sales efficiency and customer satisfaction, hindering the development of their e-commerce businesses. Therefore, developing a third-party e-commerce listing system with efficient data integration capabilities is urgently needed. Such a system can address the shortcomings of existing technologies, improve the efficiency and accuracy of data integration, provide suppliers with more convenient and efficient product listing services, and thus promote the healthy development of the e-commerce industry.

[0007] Therefore, it is necessary to propose a third-party e-commerce listing system with efficient data integration capabilities to solve the above problems. Summary of the Invention

[0008] The main objective of this invention is to provide a third-party e-commerce listing system with efficient data integration capabilities, which can effectively solve the problems in the background art.

[0009] A third-party e-commerce listing system with efficient data integration capabilities includes a data receiving module, a data processing module, a category tagging module, a data synchronization module, and a user interface module. The data receiving module receives raw product data provided by suppliers and is connected to the supplier's data source to obtain information such as product name, description, specifications, and images. The data processing module, connected to the data receiving module, performs format processing and preliminary classification of the raw product data. This module uses natural language processing technology to identify product information and performs preliminary classification according to preset rules. The category tagging module, connected to the data processing module, contains a unified category tagging library and is used to match products with the categories and tags of various e-commerce platforms based on the preliminary classification results. The data synchronization module, connected to the category tagging module and various e-commerce platforms, synchronizes the processed product data to each e-commerce platform and automatically updates it when product information changes. The user interface module, connected to the data processing module, category tagging module, and data synchronization module, provides suppliers with a visual operation and management interface.

[0010] Preferably, the data receiving module includes a data interface unit and a data verification unit; the data interface unit is used to establish a connection with the supplier's data source, supports multiple data transmission protocols such as FTP and HTTP, to receive raw product data in different formats; the data verification unit is connected to the data interface unit and is used to verify the received raw product data, check the integrity and accuracy of the data, mark data that does not meet the requirements, and provide feedback to the supplier.

[0011] Preferably, the data processing module includes a format adaptation unit and a preliminary classification unit; the format adaptation unit is used to adjust the format of the original product data according to the product data format templates of various e-commerce platforms, including adjusting the number of words in the product description, the resolution and format of the images, etc.; the preliminary classification unit uses natural language processing technology to analyze the product name, description and other information, and performs preliminary classification of the products according to preset classification rules.

[0012] Preferably, the category tag module includes a category tag library management unit and a tag matching unit; the category tag library management unit is used to maintain a unified category tag library, which contains the classification standards and tag systems of various e-commerce platforms, and integrates and optimizes them; the tag matching unit is connected to the category tag library management unit, and according to the preliminary classification results of the products, searches for suitable categories and tags for various e-commerce platforms in the category tag library, and adds corresponding tags to the products.

[0013] Preferably, the data synchronization module includes a data push unit and a data update monitoring unit; the data push unit is used to push the processed product data to various e-commerce platforms and transmit data through the interface with the e-commerce platforms; the data update monitoring unit is connected to the supplier's inventory management system, price management system, etc., to monitor changes in product price, inventory, specifications and other information in real time, and automatically triggers the data push unit to update the data when the information changes.

[0014] Preferably, the operation interface module includes a data display unit, a manual adjustment unit, and an approval unit. The data display unit is used to display the processing progress and status of product data on the operation interface, including which product data has completed format adaptation and which products are waiting for classification and tag addition. The manual adjustment unit allows suppliers to manually modify and improve product data on the operation interface, such as modifying product descriptions and adjusting category tags. The approval unit is used by suppliers to approve the processed product data, and the approved data will be pushed to various e-commerce platforms.

[0015] Preferably, the data interface unit is connected to the supplier's data source through a secure data transmission channel to ensure the security of data transmission; the data verification unit uses a rule engine to verify the original product data. The rule engine checks the data according to preset verification rules, and for data that does not conform to the rules, it feeds back to the supplier through the operation interface module.

[0016] Preferably, the format adaptation unit pre-stores product data format templates from various e-commerce platforms and adjusts the format of the original product data using template matching technology; the preliminary classification unit uses machine learning algorithms to analyze and classify product information, and the machine learning algorithms learn through a large amount of training data to improve the accuracy of classification.

[0017] Preferably, the category tag library management unit regularly updates and maintains the unified category tag library to adapt to changes in the classification standards and tag systems of various e-commerce platforms; the tag matching unit uses a fuzzy matching algorithm to find the closest category and tag when the preliminary classification result of the product does not completely match the standard classification in the category tag library.

[0018] Beneficial effects

[0019] The third-party e-commerce listing system of the present invention, which has efficient data integration capabilities, has many advantages over the prior art.

[0020] From a technical perspective, this invention achieves highly efficient data integration. Through intelligent template matching technology and a unified category tag library, the system can automatically adapt the format of product data and add category tags, significantly improving the efficiency and accuracy of data processing. Compared to existing technologies where suppliers need to manually adjust and adapt product data, this invention's system can quickly and accurately complete data integration, reducing human error. For example, in product image processing, the system can automatically crop, adjust resolution, and convert formats according to the requirements of different platforms, eliminating the need for manual operation by suppliers and improving the efficiency and quality of image processing. Simultaneously, the system's automated data synchronization mechanism can update product prices, inventory, and other information in real time, ensuring consistency of product data across various e-commerce platforms and avoiding problems caused by untimely data updates.

[0021] Economically, this invention reduces operating costs for suppliers. Because the system achieves efficient data integration and automated product listing, suppliers no longer need to spend significant time and effort manually operating across different e-commerce platforms. This reduces labor costs and improves work efficiency. For example, suppliers previously needed to assign dedicated personnel to update product data on various platforms; now, with this invention's system, this task can be automated, saving labor costs. Furthermore, the system can increase product exposure and sales volume. Accurate category tags and timely data updates enable products to be displayed more accurately in search results, attracting more consumers and thus increasing sales revenue.

[0022] From a societal perspective, this invention contributes to the healthy development of the e-commerce industry. An efficient data integration and product listing system can improve the operational efficiency and competitiveness of suppliers, driving the prosperity of the e-commerce market. Suppliers can focus more on product research and development and production, providing better products and services. Simultaneously, consumers can more accurately find the products they need on e-commerce platforms, improving their shopping experience. Furthermore, the system of this invention employs a distributed architecture and data backup mechanism, ensuring system stability and data security. This provides a guarantee for the stable development of the e-commerce industry and reduces the risks caused by system failures or data loss.

[0023] The third-party e-commerce listing system for suppliers, which features efficient data integration, has significant benefits in multiple aspects, including technology, economy, and society. It overcomes the shortcomings of existing technologies, bringing numerous advantages to suppliers and the e-commerce industry, and possesses broad application prospects and promotional value. Attached Figure Description

[0024] Figure 1 This is a system block diagram of the present invention;

[0025] Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0026] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0027] Example 1

[0028] like Figure 1-2 As shown in the figure, this embodiment describes in detail the specific steps of listing products using the third-party e-commerce listing system with efficient data integration function of the present invention.

[0029] First, the supplier provides raw product data to the system through the data receiving module. The supplier can establish a connection with the system through the data interface unit, which supports various data transmission protocols such as FTP or HTTP. The supplier transmits a data file containing information such as the product name, detailed description, specifications, and product images to the system. The data verification unit verifies the received data, checking its completeness and accuracy. For example, if key information is missing from the product description, the data verification unit will mark the missing information and provide feedback to the supplier through the user interface module. The supplier can then modify and supplement the information based on this feedback.

[0030] Next, the data processing module processes the raw product data. The format adaptation unit adjusts the product data format according to pre-stored product data format templates for various e-commerce platforms. For example, for a platform that requires product descriptions to be no more than 500 characters, the format adaptation unit automatically simplifies and refines the product descriptions, retaining key information. Simultaneously, for product images, the format adaptation unit crops, adjusts resolution, and converts formats according to the platform's requirements. The preliminary classification unit analyzes the product names and descriptions using natural language processing technology and performs preliminary classification based on preset classification rules. For example, for a smartwatch, the preliminary classification unit would categorize it under "Digital Products - Smart Wearable Devices".

[0031] Then, the category tagging module matches the product with the categories and tags of various e-commerce platforms based on the preliminary classification results. The category tagging library management unit maintains a unified category tagging library, which contains the classification standards and tagging systems of various e-commerce platforms. The tag matching unit searches the category tagging library for the platform category and tags suitable for the product and automatically adds the corresponding tags to the product. For example, the smartwatch mentioned above may be classified as "Smart Devices - Watches" on a certain platform, and the tag matching unit will add the corresponding tags for it.

[0032] Next, the data synchronization module synchronizes the processed product data to various e-commerce platforms. The data push unit transmits product data to each platform through interfaces with the e-commerce platforms. Simultaneously, the data synchronization module interfaces in real-time with the supplier's inventory and pricing management systems. When product prices or inventory information change, the data update monitoring unit automatically acquires this information and triggers the data push unit to update the data. For example, when product inventory decreases, the system automatically updates the inventory information on each platform.

[0033] Finally, suppliers can manage and review the entire process through the user interface module. The data display unit shows the processing progress and status of product data on the interface, which suppliers can check at any time. The manual adjustment unit allows suppliers to manually modify and improve product data, such as modifying product descriptions and adjusting category tags. The review unit is used by suppliers to review the processed product data; data that has passed review will be officially pushed to various e-commerce platforms.

[0034] Example 2

[0035] This embodiment describes how the system of the present invention updates and republishes data when product data changes.

[0036] When a supplier's product inventory, price, or specifications change, the data synchronization module first retrieves this information from the supplier's relevant management system. For example, when a product price decreases, the data update monitoring unit will obtain the new price information.

[0037] The data processing module reprocesses the product data based on the changed information. The format adaptation unit checks again whether the product data format meets the requirements of various e-commerce platforms, and makes adjustments as necessary. The preliminary classification unit confirms whether the product classification needs adjustment; if changes in product specifications lead to a change in classification, it will be reclassified.

[0038] The category tagging module matches new categories and tags for products in a unified category tagging library based on the reclassification results. The tag matching unit ensures that the product's category and tags are accurate across various e-commerce platforms.

[0039] The data synchronization module will re-push the updated product data to various e-commerce platforms. The data push unit will transmit the new product data to the platforms through interfaces with them. Simultaneously, the system will record the historical data update process, facilitating supplier queries and audits.

[0040] Suppliers can monitor and manage the data update process through the user interface module. The data display unit shows the progress and status of the data update, allowing suppliers to stay informed at any time. The manual adjustment unit allows suppliers to manually modify the updated data when necessary. The review unit is used by suppliers to review the updated data, ensuring its accuracy and compliance. Once approved, the updated data will take effect on all e-commerce platforms, achieving timely updates to product information.

[0041] It should be noted that the present invention provides a third-party e-commerce listing system with efficient data integration capabilities, which aims to solve many problems existing in the data integration of the current third-party e-commerce listing system and achieve efficient data integration and product listing through innovative technical solutions.

[0042] The core technical principle of this invention lies in constructing a unified data processing platform capable of comprehensively analyzing and processing raw product data from suppliers. First, the system performs preliminary identification and classification of the product data. Through advanced natural language processing technology, the system can automatically identify information such as the product's name, description, and specifications, and perform preliminary classification according to preset classification rules. For example, for a mobile phone, the system can automatically identify its brand, model, screen size, processor, and other key information, and categorize it into the "Digital Products - Mobile Phones" category. This automatic classification function greatly improves the efficiency of data processing and reduces the workload of manual intervention.

[0043] Regarding data format adaptation, this invention employs intelligent template matching technology. The system pre-stores product data format templates for various e-commerce platforms. When receiving product data from a supplier, the system automatically matches it against the templates of each platform. For any mismatches, the system automatically adjusts the data according to the template requirements. For example, if a platform requires product descriptions to be no more than 500 characters, and the supplier's description exceeds this limit, the system automatically simplifies and refines the description, retaining key information to ensure compliance with platform requirements. Simultaneously, the system can automatically process product images, performing operations such as cropping, resolution adjustment, and format conversion based on the image format and size requirements of different platforms. For example, for platforms requiring an image resolution of 800x600 pixels, the system automatically adjusts the product image to that resolution and converts it to a platform-supported format, such as JPEG or PNG.

[0044] To address the issue of inconsistent product categorization and labeling, this invention establishes a unified category and label library. This library integrates and optimizes the categorization standards and labeling systems of various e-commerce platforms. Based on the initial product categorization, the system searches the category and label library for matching platform categories and labels. For example, for a multi-functional electronic product, the system will find suitable categories and labels for various platforms based on its functions and characteristics, and automatically add the corresponding labels to the product. This ensures that regardless of which e-commerce platform a product is listed on, it can be accurately displayed according to the platform's categorization standards, improving product exposure and search accuracy.

[0045] Regarding data updates, this invention implements an automated data synchronization mechanism. The system interfaces in real time with suppliers' inventory management systems, price management systems, etc. When information such as product prices, inventory, and specifications changes, the system can automatically obtain this changed information and update it promptly on various e-commerce platforms. For example, when product inventory decreases, the system automatically sends inventory update requests to all platforms to ensure that inventory information on all platforms remains consistent. Simultaneously, the system also records historical data update records, facilitating supplier queries and audits.

[0046] This invention also provides a visual user interface for convenient operation and management by suppliers. On this interface, suppliers can intuitively see the processing progress and status of product data. For example, suppliers can see which product data has completed format adaptation, which products are awaiting categorization and tag addition, and which product data has been successfully published on various e-commerce platforms. Furthermore, suppliers can manually adjust and review product data on the interface. For example, when the automatically generated product descriptions do not meet the supplier's requirements, the supplier can modify and improve them on the interface.

[0047] To improve system stability and reliability, this invention employs a distributed architecture and data backup mechanism. The system's data is stored on multiple servers and managed through a distributed file system. This ensures that even if one server fails, the system's normal operation will not be affected. Simultaneously, the system regularly backs up the data to ensure its security and integrity. For example, the system backs up important data such as product data and category label libraries daily and stores them in a remote data center.

[0048] This invention discloses a third-party e-commerce listing system for suppliers with efficient data integration capabilities. Through innovative technologies such as a unified data processing platform, intelligent template matching technology, a unified category tag library, an automated data synchronization mechanism, a visual user interface, and a distributed architecture and data backup mechanism, it achieves efficient data integration and product listing. This system solves problems in existing technologies such as difficulties in data format adaptation, inconsistent category tags, and untimely data updates, improving the efficiency and accuracy of suppliers listing products on e-commerce platforms, reducing operating costs, and providing strong support for the development of the e-commerce industry.

[0049] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A third-party e-commerce listing system with efficient data integration capabilities, characterized in that, The system includes a data receiving module, a data processing module, a category tagging module, a data synchronization module, and a user interface module. The data receiving module receives raw product data provided by suppliers. This module is connected to the supplier's data source to obtain information such as product name, description, specifications, and images. The data processing module, connected to the data receiving module, performs format processing and preliminary classification of the raw product data. This module uses natural language processing technology to identify product information and performs preliminary classification according to preset rules. The category tagging module, connected to the data processing module, contains a unified category tagging library and is used to match products with categories and tags from various e-commerce platforms based on the preliminary classification results. The data synchronization module, connected to the category tagging module and various e-commerce platforms, synchronizes the processed product data to each e-commerce platform and automatically updates it when product information changes. The user interface module, connected to the data processing module, category tagging module, and data synchronization module, provides suppliers with a visual operation and management interface.

2. The third-party e-commerce listing system with efficient data integration function as described in claim 1, characterized in that, The data receiving module includes a data interface unit and a data verification unit. The data interface unit is used to establish a connection with the supplier's data source and supports multiple data transmission protocols, such as FTP and HTTP, to receive raw product data in different formats. The data verification unit is connected to the data interface unit and is used to verify the received raw product data, check the integrity and accuracy of the data, mark data that does not meet the requirements, and provide feedback to the supplier.

3. The third-party e-commerce listing system with efficient data integration function according to claim 1, characterized in that, The data processing module includes a format adaptation unit and a preliminary classification unit. The format adaptation unit is used to adjust the format of the original product data according to the product data format templates of various e-commerce platforms, including adjusting the number of words in the product description, the resolution and format of the images, etc. The preliminary classification unit uses natural language processing technology to analyze the product name, description and other information, and performs preliminary classification of the products according to preset classification rules.

4. The third-party e-commerce listing system with efficient data integration function according to claim 1, characterized in that, The category tag module includes a category tag library management unit and a tag matching unit. The category tag library management unit is used to maintain a unified category tag library, which contains the classification standards and tag systems of various e-commerce platforms, and integrates and optimizes them. The tag matching unit is connected to the category tag library management unit. Based on the preliminary classification results of the products, it searches for suitable categories and tags for various e-commerce platforms in the category tag library and adds corresponding tags to the products.

5. The third-party e-commerce listing system with efficient data integration function according to claim 1, characterized in that, The data synchronization module includes a data push unit and a data update monitoring unit. The data push unit is used to push the processed product data to various e-commerce platforms and transmit data through the interface with the e-commerce platforms. The data update monitoring unit is connected to the supplier's inventory management system, price management system, etc., to monitor changes in product price, inventory, specifications and other information in real time, and automatically triggers the data push unit to update the data when the information changes.

6. The third-party e-commerce listing system with efficient data integration function according to claim 1, characterized in that, The operation interface module includes a data display unit, a manual adjustment unit, and an approval unit; the data display unit is used to display the processing progress and status of product data on the operation interface, including which product data has completed format adaptation, which products are waiting for classification and tag addition, and other information. The manual adjustment unit allows suppliers to manually modify and improve product data on the user interface, such as modifying product descriptions and adjusting category tags; the review unit is used by suppliers to review the processed product data, and the data that passes the review will be pushed to various e-commerce platforms.

7. The third-party e-commerce listing system with efficient data integration function according to claim 2, characterized in that, The data interface unit is connected to the supplier's data source through a secure data transmission channel to ensure the security of data transmission; the data verification unit uses a rule engine to verify the original product data. The rule engine checks the data according to preset verification rules, and for data that does not conform to the rules, it feeds back to the supplier through the operation interface module.

8. The third-party e-commerce listing system with efficient data integration function according to claim 3, characterized in that, The format adaptation unit pre-stores product data format templates from various e-commerce platforms and adjusts the format of the original product data using template matching technology. The preliminary classification unit uses machine learning algorithms to analyze and classify product information. The machine learning algorithms learn from a large amount of training data to improve the accuracy of classification.

9. The third-party e-commerce listing system with efficient data integration function according to claim 4, characterized in that, The category tag library management unit regularly updates and maintains the unified category tag library to adapt to changes in the classification standards and tag systems of various e-commerce platforms; the tag matching unit uses a fuzzy matching algorithm to find the closest category and tag when the preliminary classification result of a product does not completely match the standard classification in the category tag library.

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