An intelligent bidding and tendering evaluation system based on artificial intelligence

The AI-based intelligent bidding and evaluation system solves the problems of data silos, insufficient analysis of text similarity, and lack of transparency in the traditional bidding and evaluation model, achieving efficient and accurate bidding and evaluation results and an optimized business environment.

CN122155822APending Publication Date: 2026-06-05ZHEJIANG YUANDA ENG CONSULTING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG YUANDA ENG CONSULTING CO LTD
Filing Date
2026-05-09
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional bidding evaluation models are ill-suited to the demands of efficient and precise business processing. Fragmented data management systems affect the objectivity of bidding evaluation results. Text similarity analysis tools lack adaptability. The bidding evaluation process lacks transparency and traceability. Qualification fraud and bid rigging are difficult to identify.

Method used

The AI-based intelligent bidding and tendering evaluation system includes a full-process business management module, a full-domain dynamic data support module, an intelligent logic verification and objective review module, a violation identification and adaptive feedback module, and an expert review and dynamic decision-making module. It achieves unified data management, real-time monitoring of resource status, automatic identification of logical conflicts, and adaptive adjustment of algorithms.

Benefits of technology

It has improved the efficiency and fairness of bid evaluation, accurately identified qualification fraud and bid rigging, ensured the authenticity and transparency of bid evaluation data, and optimized the business environment.

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Abstract

The application relates to the technical field of computer application, and discloses an intelligent bidding evaluation system based on artificial intelligence, which comprises a full-domain dynamic data support module, an intelligent logic verification module and a rule identification and adaptive feedback module.The full-domain dynamic data support module generates a structured pointer set with a digital signature and maintains a full-domain state machine of core resources, so that the authenticity and tamper resistance of the evaluation data source are ensured.The intelligent logic verification module is internally provided with a logic conflict verification network, which is used for multi-dimensional logic conflict deduction of bidding resources based on resource real-time states and physical transfer limit speed thresholds, automatic identification of qualification affiliation and false resource configuration, and automatic identification of surrounding bidding and string bidding.The rule identification and adaptive feedback module has an algorithm adaptive evolution capability, can capture expert feedback signals through a dynamic weight correction mechanism, correct text similarity calculation logic, accurately identify surrounding bidding and string bidding, and form a man-machine collaborative learning feedback loop.The application greatly improves the objectivity, accuracy and efficiency of evaluation through automatic and intelligent assistance, suppresses bidding chaos, and optimizes the business environment.
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