Intelligent label processing method and system based on customer management technology, and medium

By analyzing and classifying customer data, establishing a flexible customer labeling system, and setting security levels according to customer needs for encryption, the problems of insufficient description of customer grouping system and poor security in the existing technology have been solved, and the problem of insufficient customer grouping system is realized. More efficient customer data management and security.

CN119474689AActive Publication Date: 2025-02-18CHINA UNICOM WO MUSIC & CULTURE CO LTD +1
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Patent Information

Application Number
CN202510065802.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-16
Publication Date
2025-02-18
Estimated Expiration
2045-01-16

AI Technical Summary

Technical Problem

The existing customer grouping system cannot flexibly describe the characteristics of electricity users, lack of description information, cannot refine the specific customer group, and customer tag management cannot be classified and processed according to customer type, resulting in poor customer management security.

Method used

By analyzing customer data, classifying customer types, establishing different customer tags for different types of customers according to the label system, and setting security levels according to customer needs for encryption, improving the security of customer data.

Benefits of technology

It realizes flexible label management and security level setting for different types of customers, improving the security and management efficiency of customer data.

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Abstract

The embodiment of the invention provides an intelligent label processing method and system based on a customer management technology and a medium, and the method comprises the steps: obtaining customer data, and carrying out the preprocessing of the customer data, and obtaining the processing data; analyzing and classifying the processed data based on the big data to obtain a classification result, and classifying the customers according to the classification result to obtain customer types; setting a label system, matching customer types according to the label system, and establishing customer labels; obtaining customer demand information, setting a customer security level based on the customer demand information, and encrypting the customer tag based on the customer security level to obtain encrypted data; generating a corresponding access key; by analyzing the customer data and performing customer type classification processing, different customer labels are established for different types of customers according to the label system, and security levels are established and encrypted for customers with different requirements, so that the security of the customer data is improved.
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