Cross-Platform Product Matching for Country-Level Price Comparison
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Solution Overview
Problem
In cross-border e-commerce platforms, determining price competitiveness of same-model products across multiple platforms is challenging due to complex product categories, varying key attributes, and logistics costs, which affects click-through rates and conversion rates.
Innovation Solution
A system for cross-border e-commerce platforms that identifies same-model/similar-model products by matching on dimensions like image, category, key attributes, and sales quantity/unit, and performs price comparisons on a destination country/region basis, providing comparison results to enhance product competitiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If product information is collected from multiple cross-border platforms, then price comparison capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a matching determination module as an intermediary that standardizes product information from different platforms before comparison. This module performs image matching, category matching, and attribute matching to create a unified comparison framework, thereby improving price comparison accuracy while managing system complexity through structured intermediate processing
Solution Approach 2:
The patent segments the price comparison process into distinct modules: information acquisition module, matching determination module, and price comparison module. Each module handles specific tasks (data collection, product pairing through multiple matching dimensions, and final price analysis), making the overall system more manageable and maintainable while achieving comprehensive cross-platform comparison
2Measurement precision
If multiple matching dimensions are used to identify same-model products, then matching accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by conducting image matching first to quickly filter out obviously different products, then proceeding to category matching and attribute matching only for potentially matching pairs. This staged approach maintains high matching accuracy through multiple dimensions while reducing overall processing time by avoiding full multi-dimensional comparison for all product pairs
Solution Approach 2:
The patent adds a visual dimension (image matching) to the traditional attribute-based matching approach. By incorporating image similarity assessment as an additional dimension alongside category and attribute matching, the system achieves more accurate same-model product identification while the visual dimension helps quickly eliminate non-matching products, balancing accuracy and efficiency
Data Source
AI summary
A product information processing method includes: acquiring information of a plurality of second products from at least one other product information system related to a target product information system; determining a plurality of same-model/similar-model product pairs by performing a matching determination between the plurality of second products and a plurality of first products in the target product information system; respectively acquiring price information of the first product and the second product in the product pairs, wherein the price information includes: respective product price information and logistics price information for sales to users in a plurality of destination countries/regions in a corresponding product information system; and providing comparison result information from a price comparison of the first product and the second product in the product pairs on a destination country/region dimension.