Buyer user intelligent management method based on Internet e-commerce platform data analysis

Abstract

The invention discloses a buyer user intelligent management method based on Internet e-commerce platform data analysis. The buyer user intelligent management method based on Internet e-commerce platform data analysis comprises the steps of obtaining basic information corresponding to shop sales products of an e-commerce platform and corresponding sales order information in an acquisition period; acquiring purchased product information corresponding to each purchasing user of the shop; acquiring consumption information corresponding to each purchasing user of the shop; acquiring browsing information corresponding to the products sold by the store on the e-commerce platform; managing and analyzing the purchase information and the consumption information corresponding to each purchase user and the browsing information corresponding to each browsing user; thus, the problem that an existing e-commerce platform purchase user management method cannot effectively improve the intelligence and rationalization of purchase user management by the shop is solved, and the management efficiency of the e-commerce platform shop for potential users and purchase users is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of user management, and relates to an intelligent management method for buyers and users based on data analysis of an Internet e-commerce platform. Background technique [0002] With the rapid development of the Internet of Things technology, the business model of many industries has also changed from the offline sales model to the online sales model. In order to improve the market competitiveness of the store and the operation and maintenance efficiency of the store, it is necessary to for management and analysis. [0003] The existing e-commerce platform purchasing user management method is basically based on a single analysis of the historical consumption order information corresponding to the store purchasers, so as to obtain the consumption preferences corresponding to the purchasing users, without detailed classification and management of the purchasers in the store, so However, the existing e-commerc...

AI Technical Summary

Problems solved by technology

[0003] The existing e-commerce platform purchasing user management method is basically based on a single analysis of the historical consumption order information corresponding to the store purchasers, so as to obtain the consumption preferences corresponding to the purchasing users, without detailed classification and management of the purchasers in the store, so However, the existing e-commerce platform purchasing user management method still has certain disadvantages. On the one hand, the existing e-commerce platform purchasing user management method realizes accurate positioning of store purchasing users, and thus cannot effectively improve the intelligence of store purchasing user management. On the one hand, the existing e-commerce platform purchase user management methods cannot effectively improve the management efficiency of potential users of the e-commerce platform, and thus cannot effectively improve the operating efficiency and advantages of the store. On the other hand, the current Some e-commerce platform purchase user management methods cannot effectively improve the stickiness between store purchase users and stores

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