An ai-based enterprise intelligent procurement search and recommendation system and method
By leveraging an AI-based intelligent enterprise procurement search and recommendation system and utilizing knowledge graphs and large language models in the procurement field, the system addresses issues such as information fragmentation and insufficient semantic understanding in existing systems. This enables efficient and personalized procurement decision support and information retrieval, thereby improving the efficiency and accuracy of enterprise procurement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QIZHIXIN (BEIJING) TECHNOLOGY CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing enterprise procurement systems suffer from problems such as fragmented procurement information, lack of professional semantic understanding, insufficient intent completion capabilities, semantic mismatch, unsuitable sorting for procurement scenarios, lack of personalized sorting and recommendations, weak support for procurement decisions, poor real-time price information, and lack of self-optimization capabilities.
We adopt an AI-based intelligent enterprise procurement search and recommendation system. Utilizing a knowledge graph in the procurement domain as its core, the system employs an AI search engine for intent classification, multi-type entity extraction, knowledge graph reasoning and completion, multi-dimensional ranking, and personalized summary generation using a large language model. Combined with distributed data collection and continuous learning optimization, it achieves efficient and personalized procurement decision support.
It achieves basic search results return within 1 second and AI deep analysis within 10 seconds, improving the completeness and accuracy of procurement information, reducing the burden of manual screening, providing personalized recommendations and decision support, and improving procurement efficiency and accuracy.
Smart Images
Figure CN122415191A_ABST