Artificial intelligence bid evaluation method and system based on big data analysis

Abstract

The invention discloses an artificial intelligence bid evaluation method and system based on big data analysis. The method comprises the following steps: receiving qualification information filled bysuppliers; for each supplier to be evaluated, calling historical bidding information, comparing the qualification information of this time of the supplier with the qualification information of the last time, identifying difference information, and generating auxiliary preliminary evaluation data; automatically allocating evaluation experts to the bid evaluation tasks according to evaluation task allocation rules, sending the bid evaluation tasks and the corresponding auxiliary preliminary evaluation data to corresponding evaluation expert clients, and entering a preliminary evaluation stage; receiving a preliminary evaluation result of the evaluation expert client, distributing the bid evaluation tasks which are qualified in preliminary evaluation to the evaluation experts again, and entering a detailed evaluation stage; performing expert scoring. According to the invention, each process of bid evaluation can be monitored, the consistency of data in each link of the whole business process is effectively ensured, the manual intervention degree of each business link of bid evaluation is reduced, and the fairness and justice of bid evaluation are ensured.

Description

technical field [0001] The invention belongs to the technical field of big data statistical analysis, in particular to an artificial intelligence bid evaluation method and system based on big data analysis. Background technique [0002] At present, the provincial company’s bidding business relies on the e-commerce platform (ECP) to carry out related work. The ECP system has a complete bidding and procurement process, but most of the information cannot be obtained automatically, and it needs to be entered manually by the bidding agency personnel, suppliers and experts. affect work efficiency. [0003] Suppliers need to make paper bidding documents after purchasing bidding documents or pre-qualification documents for each bidding, and when suppliers make bidding documents, due to different formats and versions of text editing software used, the bidding documents produced by suppliers are not satisfactory and cannot be unified. [0004] In the traditional task assignment metho...

AI Technical Summary

Problems solved by technology

In the past, expert detailed evaluation needed to form a list of valid bidders and a list of rejected bids after the initial evaluation was completed, and then check the supplier's bidding documents again to conduct detailed evaluation and scoring of valid bidders. In addition, when experts evaluate bids, because each person has a different understanding of a certain project information, there is no unified scoring rules, and the scoring standards are inconsistent

[0006] The traditional bid evaluation process is carried out offline. From data collection, preliminary evaluation, detailed evaluation to the issuance of various lists and reports, the whole process is manually summarized, checked and compared, which leads to poor process control and cannot guarantee the integrity of data collection and before and after. Consistency, greatly affected by manual work, and lack of communication channels between suppliers and tenderers, information asymmetry, resulting in a significant reduction in the efficiency of bid evaluation business, which cannot meet the needs of time business

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