Multi-language Parameter Description Engine for E-commerce
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Solution Overview
Problem
Current e-commerce systems face challenges in facilitating sales across multiple languages and platforms, particularly in communicating non-pre-catalogued product parameters between buyers and sellers who speak different languages, and in providing human-readable descriptions of these parameters.
Innovation Solution
A computerized system that includes a non-pre-catalogued parameter database and a multiple language parameter description engine, which prompts sellers to enter non-pre-catalogued parameters and generates human-readable descriptions in various languages, enabling communication and listing across different e-commerce marketplaces, even when buyers and sellers speak different languages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a multi-language e-commerce system is implemented to facilitate communication between buyers and sellers in different languages, then the accessibility and reach of the marketplace is improved, but the system complexity increases due to the need for multiple language interfaces and translation mechanisms
Solution Approach 1:
The system implements a universal parameter description engine that automatically generates human-readable descriptions for product parameters in multiple languages. This multi-functional component handles language translation and adaptation without requiring separate systems for each language, thereby improving accessibility while controlling complexity through consolidation.
Solution Approach 2:
The parameter description engine acts as an intermediary between the product data and the users. It translates technical or non-pre-catalogued parameters into human-readable descriptions in the user's language, mediating the communication between buyers and sellers who speak different languages without requiring direct multi-language interfaces throughout the entire system.
2Loss of information
If non-pre-catalogued parameters are allowed to provide more detailed product information, then the information completeness is improved, but the difficulty of detecting and measuring these parameters increases
Solution Approach 1:
The system implements self-service through automated parameter description generation. The parameter description engine automatically processes non-pre-catalogued parameters and generates human-readable descriptions without requiring manual intervention for each parameter, thereby maintaining information completeness while reducing the difficulty of detecting and measuring parameters through automation.
Solution Approach 2:
The system replaces manual parameter description creation with an automated computer-based engine. This substitution of mechanical/manual processes with an automated system allows for comprehensive capture of non-pre-catalogued parameters while making their detection and measurement easier through systematic processing rather than manual handling.
3Productivity
If multiple e-commerce marketplaces are integrated to expand market reach, then the productivity is improved, but the device complexity increases due to integrating different platforms and languages
Solution Approach 1:
The parameter description engine serves as a universal component that can be deployed across multiple e-commerce marketplaces. This multi-functional engine handles parameter description generation for different platforms and languages through a single system, thereby expanding market reach while avoiding the complexity of implementing separate systems for each marketplace.
4Productivity
If automated parameter description generation is implemented to improve efficiency, then the productivity is improved, but the manufacturing precision may deteriorate due to automated generation versus manual verification
Solution Approach 1:
The system uses self-service automation where the parameter description engine generates descriptions automatically based on product data and language parameters. This automated process improves productivity by eliminating manual description creation while maintaining precision through systematic rules-based generation and the ability to generate descriptions in multiple languages consistently without human error.
Data Source
AI summary
A computerized system for sale of products having non pre-catalogued parameters in a multi-lingual environment wherein a buyer and a seller communicate in different languages, the system including a non pre-catalogued parameter database, a listing engine operative to prompt in a first language a listing seller to enter multiple non pre-catalogued parameters relating to a product being listed and to store the non pre-catalogued parameters in the non pre-catalogued parameter database and a non pre-catalogued multiple language parameter description engine which is operative to provide human-readable descriptions of the non pre-catalogued parameters in at least one language other than the first language.