Automatic Product Publication System for E-Commerce Data Conversion
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Solution Overview
Problem
Existing e-commerce ERP systems face inefficiencies in product publication due to manual data processing and mismatch issues between source and target platforms, requiring significant time and expertise, and lack the ability to convert product information across different platforms effectively.
Innovation Solution
An automatic product publication method utilizing a product classification management module and creation assistant tool connected to an AI system, which preprocesses and classifies product information, generates missing data, and translates it for accurate publication across various platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual publishing or auxiliary publishing is used, then product information can be published to target stores, but the process requires significant time and effort from store operators
Solution Approach 1:
The system enables automatic product publication where the e-commerce ERP system autonomously collects product information from source platforms, converts it according to target platform requirements, and publishes it without requiring manual intervention from store operators. This self-service mechanism eliminates the time-consuming manual copying and pasting processes while maintaining accurate product information transmission.
Solution Approach 2:
The patent replaces the mechanical manual process of copying, pasting, and proofreading product information with an automated information processing system. The system uses data extraction, conversion algorithms, and automated publishing mechanisms to substitute human labor, thereby significantly improving publication efficiency and reducing time loss.
2Manufacturing precision
If manual proofreading and correction is performed, then product information accuracy can be improved, but the workload and time required increase significantly
Solution Approach 1:
The system incorporates feedback mechanisms where the automated conversion process continuously references target platform's product classification standards and data requirements. The system automatically adjusts and corrects information based on pre-configured conversion rules and platform-specific formats, ensuring high accuracy without requiring manual proofreading. This feedback loop maintains precision while eliminating the time-consuming manual verification step.
Solution Approach 2:
The system performs preliminary conversion and validation of product information automatically before publication. By pre-processing and verifying data accuracy according to target platform requirements in advance, the system eliminates the need for subsequent manual proofreading and correction, thereby maintaining high information accuracy while improving overall publication efficiency.
3Ease of manufacture
If classification standards from source platform are directly applied to target store, then data conversion is simplified, but data mismatch and content errors occur
Solution Approach 1:
The patent introduces an intermediary conversion layer between the source platform's classification standards and the target platform's requirements. The e-commerce ERP system acts as this intermediary, automatically translating and converting product information from source platform formats to target platform formats. This intermediary mechanism simplifies the conversion process while ensuring accuracy by systematically addressing classification mismatches through configured conversion rules.
Solution Approach 2:
The system dynamically adjusts and transforms data parameters according to the specific requirements of different platforms. The conversion process modifies classification codes, attribute names, data formats, and other parameters to match target platform standards. This parameter transformation approach maintains ease of conversion while ensuring high precision by systematically adapting data to different platform requirements.
4Adaptability or versatility
If existing e-commerce ERP systems are used, then store operations can be managed, but the systems lack ability to convert product information across different platforms
Solution Approach 1:
The patent enhances the e-commerce ERP system with universal conversion capabilities that enable it to handle multiple platforms simultaneously. The system incorporates platform-agnostic product information collection, conversion, and publishing functions that can adapt to different e-commerce platforms' specific requirements. This multi-functionality approach improves adaptability while managing complexity through standardized conversion frameworks and configurable platform profiles.
Data Source
AI summary
An automatic publication method of store products and a system, which includes collecting information of the to-be-published product from the source platform; selecting a target store for publishing the products and setting product publication rules of the target store; pre-establishing a product classification library, which calculates the classification for the to-be-published product, thereby obtaining the product publication classification and product release attribute information to identify the required release item or optional release item for the publication information; filling in the product source information to the publication information according to the publication rules; calling the AI system to fill in the required release item for the missing information; posting the completed publication information in the target store. Embodiments can improve the work efficiency of product publication, and accuracy of product information creation in the process of product publication, and realize product publication from any source platform to any other platform.