E-commerce Category Management System Using Transaction Mapping
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Solution Overview
Problem
Electronic commerce website administrators lack the ability to conveniently determine which front-end categories drive user purchases, making it difficult to assess the effectiveness of product presentation and organizational structure, which is crucial for increasing product turnover.
Innovation Solution
A method and device that associate user selection events with transaction records to establish a mapping relation between front-end and back-end categories, allowing for the analysis of selection frequency and transaction influence, enabling the adjustment and optimization of the front-end category structure based on user behavior data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If administrators manually track user browsing paths to determine front-end category effectiveness, then they can understand category performance, but the system complexity and time consumption increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-establishing mapping relationships between front-end categories and back-end categories in the system. When users browse products, the system automatically records which front-end category leads to which back-end category transaction through pre-configured mappings, eliminating the need for complex real-time tracking analysis and directly providing category effectiveness data.
Solution Approach 2:
The patent uses back-end category mappings as an intermediary to connect front-end category browsing with transaction data. Instead of directly tracking complex user browsing paths, the system uses the intermediate back-end category structure to infer and record front-end category effectiveness, simplifying the information collection process while maintaining accuracy.
2Productivity
If administrators frequently adjust front-end category structures to optimize product presentation, then product turnover can increase, but the stability of the category system decreases
Solution Approach 1:
The patent implements feedback by automatically recording and analyzing the effectiveness of each front-end category based on actual user browsing and transaction data. This feedback mechanism allows administrators to make data-driven decisions about category adjustments, ensuring that changes are made only when they genuinely improve product turnover, thus balancing optimization with stability.
Solution Approach 2:
The patent enables dynamic adjustment of front-end category parameters (such as category names, hierarchies, and associations) based on recorded effectiveness data. The system allows flexible modification of category structures while maintaining the underlying back-end category stability, permitting optimized reorganization without compromising the core transactional integrity.
3Measurement precision
If the system records detailed user browsing paths to analyze front-end category effectiveness, then measurement precision improves, but the amount of data stored and processed increases
Solution Approach 1:
The patent extracts only the essential information needed for measuring front-end category effectiveness - specifically, the mapping between front-end categories and back-end categories at the time of transaction. Instead of storing complete user browsing paths and all interaction details, the system extracts and records only the critical category relationship data, reducing data volume while maintaining measurement precision.
Solution Approach 2:
The patent segments the effectiveness measurement into discrete, manageable units by recording category relationships individually for each transaction. Rather than storing and processing continuous, detailed browsing path data, the system divides the information into separate, structured records linking specific front-end categories to their corresponding back-end categories, making data storage and analysis more efficient.
Data Source
AI summary
Managing categories in an electronic commerce system, includes obtaining transaction information pertaining to a set of back-end categories, the transaction information includes user information of users in the system who completed transactions in the set of back-end categories during a preset period, determining, based on the user information, a set of front-end categories that were selected by users in the system during the preset period, determining number of times a front-end category in the set of front-end categories was selected by the users in the system during the preset period, and adjusting the front-end category according to the transaction information and the number of times the front-end category was selected during the preset period.