A method and device for classifying customers based on big data of business districts, and electronic equipment

By dividing the sales area into business district grids and filling in the data, and combining machine learning and business district types, the problem of inaccurate customer classification was solved, and refined customer management and precise marketing were achieved.

CN115204273BActive Publication Date: 2026-06-09CHINA TOBACCO GUANGXI IND
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA TOBACCO GUANGXI IND
Filing Date
2022-06-23
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies do not categorize customers in a detailed and accurate manner, resulting in missing data and redundant features. This reduces the applicability and practicality of the data in marketing efforts and affects the accuracy of marketing positioning.

Method used

By acquiring commercial data and customer information from the sales area, the sales area is divided into business district grids. The k-nn algorithm is used to calculate the weights of missing data for data filling. The business district grids are then classified based on POI data, population density, and consumption level. Finally, customers are accurately classified based on the business district type.

Benefits of technology

It has enabled refined and intelligent management of customers, improved the accuracy of customer classification, promoted the precise allocation of goods and the precise cultivation of brands, and broken the traditional extensive model of analyzing areas based on districts and counties.

✦ Generated by Eureka AI based on patent content.

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    Figure CN115204273B_ABST
Patent Text Reader

Abstract

The application discloses a kind of based on commercial circle big data to the method, device and electronic equipment of customer classification, the method includes: obtaining sales area, and the commercial data corresponding to sales area and the customer information of customer;Sales area is divided into commercial circle grid, and according to customer information, customer is mapped into corresponding commercial circle grid;According to commercial data, data filling is carried out to commercial circle grid;After data filling, commercial circle grid is classified, and the commercial circle type of each commercial circle grid is obtained;Customer is classified based on customer information and commercial circle type.The application divides region to sales market, and according to the commercial data of each region, the customer in region is classified more accurately, establishes the analysis level with commercial circle grid as core, realizes the fine intelligent management of customer, and through more accurate customer classification, effectively improve the level of accurate marketing to customer, promote the accurate delivery of goods source.
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