一种基于AI模型的招标文件审核方法及系统

By adopting an AI-based bidding document review method, the problems of low efficiency and poor consistency of traditional manual review have been solved, enabling efficient and reliable review of bidding documents, improving compliance and risk identification capabilities, and supporting intelligent management of bidding documents.

CN121683754BActive Publication Date: 2026-07-17ANHUI ZHIYUNSHANG DIGITAL TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ANHUI ZHIYUNSHANG DIGITAL TECHNOLOGY CO LTD
Filing Date
2025-12-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional manual review of tender documents is inefficient, costly, and lacks objectivity and consistency, making it difficult to identify potential risk clauses or complex violation patterns.

Method used

An AI-based bidding document review method is adopted. By parsing the bidding documents, the compliance scores and number of risk clauses under different review granularities and risk quantity thresholds are obtained. The document review metric factor is calculated, and the review results are generated based on the comprehensive document review metric coefficient.

Benefits of technology

It improves the efficiency and reliability of tender document review, deeply reveals the characteristics of compliance risks, provides stronger data support, and realizes standardized and intelligent management of tender documents.

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Abstract

本发明涉及招标文件审核技术领域,公开了一种基于AI模型的招标文件审核方法及系统,基于AI模型对待审核招标文件进行解析,获取不同审核粒度、不同风险数量阈值下的条款合规度得分和实际识别到的风险条款数量,计算待审核招标文件的文件审核度量因子;基于条款合规度得分的波动情况计算待审核招标文件的综合文件审核度量系数;根据综合文件审核度量系数和综合文件审核度量系数阈值之间的关系,生成待审核招标文件的审核结果,能深度揭示招标文件的内在合规风险特征,并增强审核结果的可解释性与可靠性,为招标决策提供更有力的数据支持,全面提升招标文件规范性审查水平,助力实现招标采购文件审查的标准化、智能化、系统化管理目标。
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