Supplier bidding behavior analysis and prediction method based on big data
A technology of behavior analysis and prediction method, applied in the field of artificial intelligence and big data analysis, it can solve the problem of inability to form labels, and achieve the effect of saving the cost of bidding organization, improving the refined management and control of procurement, and improving the accuracy rate.
Pending Publication Date: 2019-07-23
STATE GRID FUJIAN ELECTRIC POWER CO LTD
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However, those skilled in the art know that the energy, construction, and manufacturing industries have huge bidding scales, and the volume and complexity of the bidding data formed by the corresponding huge supplier groups are quite different from consumer user portraits. Form a relatively stable label, therefore, the existing data analysis and behavior prediction models cannot be applied in the field of bidding
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[0046] In order to better understand the present invention, below we further elaborate the present invention in conjunction with specific embodiment.
[0047] The big data-based method for analyzing and predicting dynamic bidding behavior of suppliers includes the following steps:
[0048] Step 1: Collect historical bidding data of suppliers for a provincial power company in the past three years;
[0049] The historical bidding data described therein include bidding demand information, procurement strategies of the tenderee, and hidden elements, etc.;
[0050] Preferably, the bidding demand information mentioned therein includes but is not limited to sub-bidding name, material description, bidding quantity, delivery method, delivery time / duration requirements, delivery location, project unit, etc.;
[0051] Preferably, the procurement strategy of the tenderee includes, but is not limited to, data on maximum price limit, enterprise qualification limit data, project leader qual...
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The invention relates to the field of artificial intelligence in the field of computers, in particular to the field of big data analysis, and more particularly relates to a supplier bidding behavior analysis and prediction method based on big data. A traditional static portrait behavior prediction mode is skipped out; artificial intelligence clustering algorithm is adopted, bidding big data are merged and analyzed, a behavior analysis result prediction model which can be dynamically adjusted according to the change of a characteristic value is obtained, so that a bid inviting party is guided to carry out purchase strategy adjustment, the purchase success rate is improved, the bid inviting organization cost is saved, and the prediction model is continuously iteratively optimized by utilizing new purchase data, so that the accuracy and the range of the model are continuously improved. According to the mode of guiding the formation of the purchasing strategy through the model, the purchasing refinement management and control and differential management level can be remarkably improved.
Description
technical field [0001] The present invention relates to the field of artificial intelligence in the field of computers, in particular to the field of big data analysis, and more specifically to a method for analyzing and predicting supplier bidding behavior based on big data. Background technique [0002] Suppliers are enterprises and individuals that supply required resources to buyers, and suppliers provide products or services including raw materials, equipment, energy, labor or funds to the demand side. Buyers choose suppliers to establish strategic partnerships, control the relationship risks between the two parties, and develop a dynamic supplier evaluation system are the most concerned issues for buyers. Procurement has become a key link that determines the success or failure of an electronics manufacturer. As the basis and prerequisite for the normal operation of the supply chain, the evaluation and selection of suppliers has become the research focus and hotspot of...
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IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 陈金玲龚陈雄
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD