Insurance product data pushing method and system based on big data and computer equipment

A product data and big data technology, applied in the field of big data, can solve problems such as low prediction accuracy and inability to realize intelligent selection, and achieve the effect of improving accuracy

Active Publication Date: 2019-11-26
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current telemarketing model has at least the following flaws: (1) If a transaction is concluded through robot services, only the intended customer will switch to manual service unless the intended customer actively chooses manual service. It can be seen that the existing telemarketing platform cannot be between robot service and manual service Realize intelligent selection; (2) The current robot service basically predicts and pushes product data based on keywords entered by intended customers, and the prediction accuracy is low, resulting in a large number of invalid push events

Method used

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  • Insurance product data pushing method and system based on big data and computer equipment
  • Insurance product data pushing method and system based on big data and computer equipment
  • Insurance product data pushing method and system based on big data and computer equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Refer to figure 1 , Shows a step flow chart of the method for pushing insurance product data based on big data in the first embodiment of the present invention. It can be understood that the flowchart in this method embodiment is not used to limit the order of execution of the steps. details as follows:

[0065] Step S100: Receive the customer data form of the intended customer uploaded by the client terminal, and obtain the customer information of the intended customer from the customer data form.

[0066] Exemplarily, the customer information includes, but is not limited to, occupation, age, gender, marital status, working years, education, annual income, property rating, car rating, etc.

[0067] Step S102: Extract multiple feature item data according to the customer information.

[0068] Exemplarily, the step S102 may further include:

[0069] Step S102A, extracting multiple field information corresponding to the multiple field names from the customer information according ...

Embodiment 2

[0113] Please keep reading Figure 5 , Shows a schematic diagram of the program modules of the second embodiment of the big data-based insurance product data push system 20 of the present invention. In this embodiment, the insurance product data push system 20 based on big data may include or be divided into one or more program modules, and the one or more program modules are stored in a storage medium and run by one or more processors. It is executed to complete the present invention and realize the above-mentioned method for pushing insurance product data based on big data. The program module referred to in the embodiment of the present invention refers to a series of computer program instruction segments that can complete specific functions, and is more suitable than the program itself to describe the execution process of the insurance product data push system 20 based on big data in the storage medium. The following description will specifically introduce the functions of e...

Embodiment 3

[0134] Refer to Image 6 , Is a schematic diagram of the hardware architecture of the computer device in the third embodiment of the present invention. In this embodiment, the computer device 2 is a device that can automatically perform numerical calculation and / or information processing according to pre-set or stored instructions. The computer device 2 may be a rack server, a blade server, a tower server, or a cabinet server (including an independent server, or a server cluster composed of multiple servers). As shown in the figure, the computer device 2 at least includes, but is not limited to, a memory 21, a processor 22, a network interface 23, and an insurance product data push system 20 that can communicate with each other through a system bus. among them:

[0135] In this embodiment, the memory 21 includes at least one type of computer-readable storage medium. The readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD ...

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Abstract

The invention discloses an insurance product data pushing method based on big data. The insurance product data pushing method comprises the steps: obtaining client information of an intentional client; extracting a plurality of feature item data according to the customer information; obtaining an exception coefficient of the intentional customer according to the plurality of feature item data; judging whether the abnormal coefficient is greater than a preset value or not; if the abnormal coefficient is greater than the preset value, controlling to establish a session window between a client terminal and an expert agent terminal; if the abnormal coefficient is not greater than the preset value, obtaining a feature combination according to the plurality of feature item data; inputting the feature combination into a product pushing model to obtain confidence coefficients of the intentional customer and each category label; generating an insurance product data form based on the confidencecoefficient of each category label; and sending the insurance product data form to the client terminal. According to the scheme, intelligent selection between machine service and manual service can berealized, and the accuracy of pushing insurance product data is effectively improved.

Description

Technical field [0001] The present invention relates to the field of big data, in particular to a method, system, computer equipment and computer storable medium for pushing insurance product data based on big data. Background technique [0002] As people's insurance awareness has gradually increased, commercial insurance has become an important part of the current social security system. At this stage, the mainstream sales model of commercial insurance includes the offline sales model and the online e-commerce model. [0003] The so-called online e-marketing model uses robots or e-marketing agents to communicate with intended customers and facilitate transactions on the network platform. In order to attract customers and facilitate transactions, online e-marketing agents need to accurately capture target customers in a short time. Real needs. [0004] The current e-marketing model has at least the following shortcomings: (1) When a transaction is reached through robot services, un...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q40/08
CPCG06Q30/0631G06Q40/08
Inventor 杨春春
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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