Catalog Mapping Tool for E-Commerce Format Translation
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Solution Overview
Problem
E-commerce sellers face difficulties in migrating their native catalogs to electronic commerce platforms due to format incompatibility, as these platforms can only recognize system catalogs, leading to challenges in transaction facilitation.
Innovation Solution
A metadata map repository and catalog mapping tool that allows sellers to upload their native user catalogs and map them into system catalogs using recommended metadata maps, facilitating the conversion without extensive manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sellers use their native catalog formats, then they maintain ease of operation and familiarity, but the electronic commerce system cannot recognize these catalogs due to format incompatibility
Solution Approach 1:
The patent introduces a metadata map repository and catalog mapping tool as an intermediary between native catalog formats and the system catalog format. The metadata maps serve as translation dictionaries that enable automatic conversion of catalog data from various native formats to the standardized system format, allowing sellers to maintain their familiar formats while ensuring system compatibility through automated mapping.
Solution Approach 2:
The system changes the parameters of catalog data by transforming data from native formats into the system catalog format through metadata mapping. The mapping process modifies data structure parameters, field names, and data types according to predefined metadata maps, enabling format conversion without manual reentry while preserving the original native format for seller convenience.
2Adaptability or versatility
If manual mapping is performed to convert native catalogs to system catalogs, then format compatibility is achieved, but the process becomes time-consuming and complex
Solution Approach 1:
The system performs preliminary actions by pre-defining metadata maps that contain translation rules for converting native catalog formats to system catalog format. These metadata maps are created in advance and stored in the repository, so when sellers upload their catalogs, the conversion process automatically applies these pre-prepared mapping rules, eliminating the need for time-consuming manual mapping during actual catalog migration.
Solution Approach 2:
The catalog mapping tool enables self-service by automatically detecting the native format of uploaded catalogs and autonomously performing the conversion to system catalog format using the metadata map repository. The system identifies format characteristics, selects appropriate metadata maps, and executes the transformation without requiring manual intervention, significantly reducing migration time and complexity.
3Manufacturing precision
If extensive manual input is required for catalog conversion, then mapping precision can be maintained, but productivity and efficiency decrease
Solution Approach 1:
The system incorporates feedback mechanisms where the catalog mapping tool automatically validates converted catalog data against system requirements and metadata map definitions. The system provides feedback on mapping quality, identifies potential errors, and allows sellers to review and adjust mappings if needed. This automated feedback loop maintains high mapping accuracy while eliminating the need for extensive manual verification, thereby preserving productivity.
Data Source
AI summary
Disclosed are various embodiments for a catalog mapping tool application. The application is executable in at least one computing device and comprises logic that identifies a first attribute-value pair of an item within a user catalog of items, wherein the first attribute-value pair corresponds to a first value format. Additionally, the application comprises logic that suggests one of a plurality of metadata maps for translating the first value format into a second value format. Furthermore, the application comprises logic that generates a second attribute-value pair encoded in the second format using a selected one of the metadata maps.