Multi-Platform Product Publishing With Mandatory Field Matching
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Solution Overview
Problem
E-commerce ERP systems face challenges in generating logistics tracks for packages before they reach the platform warehouse, leading to delayed buyer queries and increased order returns, and in accurately publishing products on multiple platforms due to differing mandatory items on publishing pages, resulting in high failure rates.
Innovation Solution
The system generates a group package logistics track in advance by combining orders within a preset time frame and uses a pre-trained deep model to accurately fill product category information on publishing pages, reducing system operation costs and improving success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the e-commerce platform generates logistics tracks for packages after they arrive at the platform warehouse, then the system operation cost is reduced, but the buyer cannot query the logistics track in time, leading to increased order returns
Solution Approach 1:
The system performs preliminary actions by generating logistics tracks in advance before packages arrive at the platform warehouse. The logistics track is created when order information is obtained, and the package is่ๆ packaged with simulated logistics information, enabling buyers to query the logistics track before actual delivery occurs. This preliminary generation of logistics information resolves the contradiction by providing timely query capability while maintaining efficient system operation.
2Productivity
If the e-commerce ERP system uses one-click product publishing function to apply product data to multiple site stores, then the publishing efficiency is improved, but the accuracy of matching mandatory items is reduced, resulting in high failure rate
Solution Approach 1:
The system applies local quality by customizing product data for each specific platform and site store according to its unique mandatory item requirements. Instead of using a uniform one-click publishing approach, the system identifies and adapts product data to match the specific mandatory items of each target platform, ensuring high accuracy in data matching while maintaining efficient publishing operations.
Solution Approach 2:
The system changes parameters by dynamically adjusting product data parameters according to the specific requirements of different e-commerce platforms. The system modifies product category information, mandatory item selections, and data formatting parameters to match each platform's specific criteria, thereby improving both publishing efficiency and data matching accuracy simultaneously.
3Manufacturing precision
If the e-commerce ERP system processes orders individually without grouping, then the order processing accuracy is maintained, but the system operation cost and time consumption increase significantly
Solution Approach 1:
The system merges multiple individual order processing operations into a single group package processing operation. By combining multiple orders that share the same logistics information into one virtual package, the system maintains processing accuracy while significantly reducing system operation time and cost. The grouped orders are processed together through a single logistics track generation and update operation.
Solution Approach 2:
The system applies universality by creating a multi-functional group package processing mechanism that handles multiple orders simultaneously. The virtual package structure serves multiple functions: it consolidates multiple orders, generates a single logistics track for all orders, and provides unified tracking information to buyers. This multi-functional approach eliminates the need for separate processing operations for each order.
Data Source
AI summary
A method and system for publishing products on multiple platforms. The method includes: determining, in response to a platform determination instruction, ports of e-commerce platforms corresponding to the platform determination instruction; obtaining initial product data in response to a first publishing instruction, and generating first publishing information based on the initial product data; identifying the initial product data based on a preset model to generate second publishing information; detecting a blank mandatory item related to product attributes in a publishing page of each of the e-commerce platforms, and setting a preset sequence option of the blank mandatory item as third publishing information; and sending the first publishing information, the second publishing information, and the third publishing information to the ports of the e-commerce platforms to publish a product corresponding to the initial product data on each of the e-commerce platforms.