Automatic Goods Model Matching for E-Commerce Registration

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Solution Overview

Problem

Conventional goods registration processes in shopping mall relay services are time-consuming and resource-intensive, requiring manual operation for matching goods model and category identifiers, which limits scalability and efficiency as the marketplace expands.

Innovation Solution

A method and system that automatically recommend and match goods model and category identifiers using a database search based on input keywords, reducing the need for manual operations by presenting a list of recommendations to the registrant and storing selections in a matching table for automated registration in the shopping mall relay server.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual operation is used for matching goods model and category identifiers, then the registration process can be completed with simple system requirements, but the time consumption and operational resources increase significantly

Engineering Contradiction:

Improvegoods registration speedVSAvoidtime for goods registration/matching

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-matching goods model identifiers and category identifiers with goods information in advance, storing these matchings in a database. When goods are registered, the system automatically retrieves pre-prepared matchings instead of performing manual matching operations, thereby significantly reducing registration time and improving productivity without requiring complex real-time processing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates a copying mechanism by maintaining a database of pre-established matchings between goods identifiers and their corresponding model/category information. Instead of performing original manual matching operations for each registration, the system copies and applies pre-validated matchings from the database, eliminating repetitive manual work while maintaining accuracy

Inventive Principle:

Principle #26Copying

2Adaptability or versatility

If manual matching operations are performed for each goods registration, then the system structure remains simple, but the operational resources and complexity increase as the marketplace expands

Engineering Contradiction:

Improvescalability to marketplace expansionVSAvoidsystem complexity for goods registration

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements self-service by enabling automatic retrieval and application of goods model and category identifiers through database queries. The registration system automatically matches incoming goods information with stored patterns without requiring manual intervention, allowing the system to handle increasing volumes of goods registrations as the marketplace expands without proportionally increasing operational complexity

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system applies universality by creating a multi-functional database structure that stores goods information, model identifiers, and category identifiers in integrated relationships. This universal database serves multiple functions: storing goods data, providing automatic matching, supporting category classification, and enabling scalable registrations across different marketplace conditions, thereby improving adaptability without linearly increasing system complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Ease of operation

If automated recommendation logic is implemented, then the operational resources are reduced, but the system complexity and processing requirements increase

Engineering Contradiction:

Improveautomation of goods registrationVSAvoidcomplexity of recommendation system

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system replaces the mechanical manual matching operation with an automated information processing mechanism. Instead of human operators manually comparing and matching goods information with model and category identifiers, the system uses database queries and automated logic to perform the matching, thereby improving ease of operation and reducing operational resources while the complexity is confined to the automated processing layer

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS8224706B2Commodity information registering method and system which automatically matches commodity model and category with the commodity information

Publication Date: 2012.07.17 NAVER CORP

AI summary

A goods information registration method includes: maintaining a goods model database including a goods model identifier which is used in a predetermined shopping mall relay server; receiving a goods identifier or a goods name of goods information which is registered in a predetermined shopping mall server; extracting a model name keyword from the goods name; using the model name keyword for searching the goods model database for at least one recommendation goods model identifier corresponding to the goods identifier, based on a predetermined automatic goods model recommendation logic; presenting search results including a list of the at least one recommendation goods model identifier to a goods registrant, and receiving a selection on any one recommendation goods model identifier of the list, from the goods registrant; and registering the goods information in the shopping mall relay server, in association with the selected recommendation goods model identifier.