Enterprise Supplier Retrieval via Keyword Segmentation
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Solution Overview
Problem
Existing supplier retrieval systems face challenges in quickly matching buyers with suitable suppliers due to lack of updating registered contents and failure to prompt specification revisions or missing content, leading to difficulties in efficiently switching or selecting alternative suppliers.
Innovation Solution
A retrieval method utilizing a processing section and storage unit that extracts and outputs item keywords similar to registered enterprises or items based on business keywords and classification codes, allowing for keyword registration and updates to enhance matching efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If suppliers register detailed information to improve retrieval accuracy, then buyer-supplier matching precision improves, but information registration and maintenance complexity increases
Solution Approach 1:
The system pre-registers classification code information and item keyword information in a structured format before actual retrieval operations. This preliminary organization of data into standardized categories and keywords reduces the complexity of information registration during actual supplier matching operations, while maintaining high matching precision.
Solution Approach 2:
The system transforms unstructured supplier information into structured parameters including classification codes and item keywords. By changing the representation format of supplier information from free-text to standardized parameters, the system improves matching precision while making information management more systematic and less complex.
2Speed
If the system maintains updated supplier information to improve retrieval accuracy, then supplier switching speed improves, but information maintenance time increases
Solution Approach 1:
The system automatically maintains supplier information by utilizing pre-registered classification code information and item keyword information. The automated retrieval process extracts and updates supplier data without requiring manual intervention, thereby maintaining current information for accurate supplier switching while minimizing the time suppliers need to spend on information maintenance.
3Measurement precision
If comprehensive supplier information is registered to improve retrieval completeness, then alternative supplier identification accuracy improves, but data processing complexity increases
Solution Approach 1:
The system segments supplier information into distinct components: classification code information and item keyword information. This segmentation allows the retrieval system to process each component separately using specialized algorithms, improving alternative supplier identification accuracy while reducing overall data processing complexity through modular handling.
Data Source
AI summary
In a retrieval method executed by a retrieval device in which a storage unit holds enterprise information, classification code information, and item keyword information corresponding to an enterprise and an item of a particle supplied by the enterprise, at least one of a keyword indicative of a business of a first enterprise or a classification code of an item registered by the first enterprise is input. At least one item keyword is extracted corresponding to at least one of an enterprise similar to the first enterprise or an item similar to the item registered by the first enterprise, based on at least one of the keyword indicating the business of the first enterprise or the classification code of the item registered by the first enterprise, by referring to the enterprise information, the classification code information, and the item keyword information. Then, the extracted at least one item keyword is output.