Insurance customer information management system for performing customer grade division based on random forest

Abstract

The invention relates to an insurance customer information management system for customer grade division based on random forest, which comprises an address book sub-module and an exhibition tool sub-module; the address book sub-module displays basic personal information, insurance policy information and customer grades of customers, and the exhibition tool sub-module comprises a plurality of business function units; the customer grade determination comprises the following steps: obtaining a plurality of customer characteristics from basic personal information and insurance policy information; constructing a random forest based on the plurality of customer features; calculating the importance degree of each customer feature in the whole random forest; sorting the customer features according to the importance of the customer features, and screening out part of customer features as customer indexes; and according to the customer indexes, through a pre-established customer grade model, obtaining the score of each customer, and determining the customer grade of each customer. Compared with the prior art, the system has the advantages of being more efficient and comprehensive in customer grade determination, beneficial to improving working efficiency and quality and the like.

Description

technical field [0001] The invention relates to the field of insurance client information management, in particular to an insurance client information management system for classifying clients based on random forests. Background technique [0002] Business activities for insurance customers are an important part of insurance sales. Insurance salespersons shorten the distance with potential customers through the Internet, promote products, provide security and claim services, and maintain close contact with customers. [0003] Most of the current insurance customer management systems on the market lack reasonable classification of sales agent customers and guidance for the whole process of sales agent activities. They only provide basic information of customers, without targeted classification, sorting and suggestions. It is difficult for sales staff to carry out different types of business exhibition activities for different types of customers. They lack both statistics and ...

AI Technical Summary

Problems solved by technology

Expert experience is a process of manual decision-making. It can only be counted and refined based on historical experience, and it is difficult to quantify the importance of classification features.

As more and more customer characteristics are collected, it takes a lot of manpower and resources to find out possible indicators from the massive characteristics and filter through expert experience

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