Supplier classification portrait establishing method and device

Abstract

The invention relates to the technical field of supplier portraits, and particularly discloses a supplier classification portrait establishing method and device. The supplier classification portrait drawing method based on clustering comprises the following steps: acquiring supplier information, and the supplier information comprising supplier static data and dynamic data; performing data preprocessing on the supplier information; calculating the information of each supplier through a K-means algorithm, and selecting the elements from all the elements for association by using the K-means algorithm until all the elements are associated; establishing supplier classification portraits. According to the method, supplier information in the same field is quickly summarized, supplier level distribution conditions in the same field are quickly recognized, related risks are pre-stored, and meanwhile, supplier classification portraits can improve the material purchasing efficiency of enterprises, reduce the cost and improve the bid invitation purchasing quality; and suppliers which can cooperate for a long time are selected by utilizing the classified portrait pairs of the suppliers in various aspects.

Description

technical field [0001] The invention relates to the technical field of supplier portraits, in particular to a method and device for establishing supplier classification portraits. Background technique [0002] Supplier classification portrait refers to the extraction and arrangement of information related to suppliers by analyzing information from one or more sources, so as to describe the "portrait" of suppliers' business operations, development and other aspects, also known as data set. At present, bidding enterprises cannot fully and intuitively understand the real situation of suppliers in key links such as invitation, evaluation, and bid selection in the bidding and procurement process. Therefore, it is necessary to provide a comprehensive, clear and accurate reflection of suppliers It is particularly important to provide authentic and reliable supplier classification portraits for bidding companies in terms of business behavior and status. Contents of the invention ...

AI Technical Summary

Problems solved by technology

At present, bidding enterprises cannot fully and intuitively understand the real situation of suppliers in key links such as invitation, evaluation, and bid selection in the bidding and procurement process. Therefore, it is necessary to provide a comprehensive, clear and accurate reflection of suppliers It is particularly important to provide authentic and reliable supplier classification portraits for bidding companies in terms of business behavior and status

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