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Method and system for model generation and identification of customers' intention to purchase auto insurance

A model generation and customer technology, applied in the field of auto insurance, which can solve problems such as customer loss and limited labor costs

Active Publication Date: 2022-01-25
上海赢科信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to overcome the defects in the prior art that when the labor cost is limited, insurance salespersons use disorderly contact with customers to sell auto insurance and cannot contact customers in time, which will lead to the loss of customers with auto insurance purchase intentions, and provide a A method and system for generating a model capable of automatically identifying a customer's intention to purchase auto insurance, and identifying a customer's intention to purchase auto insurance

Method used

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  • Method and system for model generation and identification of customers' intention to purchase auto insurance
  • Method and system for model generation and identification of customers' intention to purchase auto insurance
  • Method and system for model generation and identification of customers' intention to purchase auto insurance

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Embodiment 1

[0082] Such as figure 1 As shown, this embodiment provides a method for model generation, including the following steps:

[0083] Step 101, obtain the historical data of each customer, each piece of historical data includes the customer information of the customer or the auto insurance data that has occurred for the customer or the vehicle data of the customer or the dealer data of the customer's vehicle, wherein the dealer data is Data about the dealership from which the customer purchased the vehicle.

[0084] Step 102, preprocessing the historical data through the customer's identification information to obtain a first historical sequence corresponding to each customer, the first historical sequence includes the following fields: the customer's customer information, the customer's Auto insurance data, the customer's vehicle data, and the customer's vehicle dealer data; wherein, the identification information includes the customer's ID number and vehicle chassis number. Th...

Embodiment 2

[0099] Such as figure 2 As shown, the method for identifying a customer's intention to purchase auto insurance provided in this embodiment includes the following steps:

[0100] Step 201, execute the method for generating the model described in Embodiment 1;

[0101] Step 202, acquiring the historical data of the customer to be identified;

[0102] Step 203, preprocessing the historical data of the customer to be identified to obtain the first historical sequence corresponding to the customer to be identified;

[0103] Step 204, marking the dealer in the first historical sequence corresponding to the customer to be identified to obtain the second historical sequence corresponding to the customer to be identified;

[0104] Step 205, performing feature screening on the second history sequence corresponding to the customer to be identified to obtain a fifth history sequence, the fifth history sequence including fields corresponding to the features;

[0105] Step 206 , using t...

Embodiment 3

[0109] Such as image 3 As shown, this embodiment provides a system for model generation, including: a first acquisition module 1, a first preprocessing module 2, a classification module 3, a first labeling module 4, a second labeling module 5, and a first feature screening Module 6 and Training Module 7.

[0110] The first obtaining module 1 is used to obtain the historical data of each customer, and each piece of historical data includes the customer information of the customer and / or the auto insurance data that the customer has occurred and / or the vehicle data of the customer and / or the dealer data of the customer's vehicle, the dealer data being the data of the dealer from which the customer purchased the vehicle;

[0111] The first preprocessing module 2 is used to preprocess the historical data through the customer's identification information to obtain a first historical sequence corresponding to each of the customers, and the first historical sequence includes the f...

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Abstract

The invention discloses a method and system for generating a model and identifying a customer's intention to purchase auto insurance. The method for generating the model includes obtaining historical data of each customer; preprocessing the historical data through the identification information of the customer to obtain the information related to each customer. One-to-one correspondence with the first historical sequence; cluster analysis is performed on the data of all dealers to obtain the category label of each dealer; mark the dealers in the first historical sequence to obtain the second historical sequence; The second historical sequence is marked with the target variable to obtain the third historical sequence; the feature screening of the third historical sequence is carried out to obtain the fourth historical sequence, and each fourth historical sequence includes several features that meet the expected correlation degree; using binary classification The algorithm utilizes the fourth historical sequence for model training to generate a predictive model. The invention can automatically identify the relationship between the car owner and the dealer, and predict the degree of intention of different types of car owners to purchase insurance in the dealer channel.

Description

technical field [0001] The invention relates to the field of auto insurance, in particular to a method and system for generating a model and identifying a customer's intention to purchase auto insurance. Background technique [0002] When customers buy a car at a car dealership such as a 4S store (a car sales company integrating vehicle sales, spare parts, after-sales service, and information feedback), they usually purchase the first-year car insurance at the store at the same time. There are usually several options for purchasing car insurance. If a car dealer wants to further sell auto insurance to customers who bought cars in its store, it usually uses telephone sales for all customers in the 4S store. Specifically, the customer is randomly assigned to each insurance salesperson. The insurance salesperson makes contacts, and the sequence of such contacts is completely out of sequence. When the number of customers reaches a certain scale, the limited labor costs make it...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0201G06F18/251G06F18/241G06F18/214
Inventor 吕兴杨治张伟
Owner 上海赢科信息技术有限公司
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