Intelligent return visit method and device based on reinforcement learning, equipment and storage medium

A technology of reinforcement learning and intelligence, applied in the field of artificial intelligence, to achieve the effect of reducing customer churn rate, answering accurately and in a timely manner, and improving the quality and efficiency of return visits

Pending Publication Date: 2020-06-02
CHINA PING AN LIFE INSURANCE CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide an intelligent return visit method, device, equipment and storage medium based on reinforcement learning, aiming to solve the technical problem of how to realize intelligent return visit by machine

Method used

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  • Intelligent return visit method and device based on reinforcement learning, equipment and storage medium
  • Intelligent return visit method and device based on reinforcement learning, equipment and storage medium
  • Intelligent return visit method and device based on reinforcement learning, equipment and storage medium

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no. 1 example

[0137] refer to Figure 5 , Figure 5 for figure 2 A schematic diagram of a detailed flow chart of an embodiment of step S150. Based on the above first embodiment of the method of the present invention, in this embodiment, the above step S150 further includes:

[0138] Step S1501, according to the relevant information of the target customer, generate a corresponding greeting through the return visit model;

[0139] In this embodiment, in order to improve the success rate of customer return visits, a greeting is further generated for the opening remarks of the return visit. For example, hello Mr. XX, I am XX, and I would like to do a follow-up survey with you today. Is it convenient for you now? The greeting has a fixed template, and it only needs to fill in the relevant personal information of the target customer, such as name, gender, occupation, historical transaction records, etc.

[0140] In this embodiment, the relevant information of the target customer includes th...

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PUM

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Abstract

The invention discloses an intelligent return visit method based on reinforcement learning, and the method comprises the steps: obtaining a customer portrait which comprises a plurality of feature tags for identifying customers; determining a target customer to be visited back according to the feature tag of the selected customer portrait; reading related information of the target client and establishing a call connection with the target client; inputting the related information of the target customer into a preset return visit model; and through the return visit model, generating a text dialogue content which performs dialogue with the target client, performing voice synthesis on the text dialogue content, and outputting the text dialogue content. The invention further discloses an intelligent return visit device and equipment based on reinforcement learning and a computer readable storage medium. According to the method, dialogue communication with the callback client is realized, answers are accurate and timely, the callback effect is effectively improved, and meanwhile, the client loss rate is also reduced.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an intelligent return visit method, device, equipment and storage medium based on reinforcement learning. Background technique [0002] Usually, in order to improve service quality, companies usually return customers by telephone to understand customer feelings and improve their own services. The traditional return visit system mainly relies on manual work. In the new economic environment, labor costs are increasing, and the cost of corporate customer service is also rising. In addition, with the development of Internet technology, customer service personnel have to face more fragmented and diversified customer services. In addition to answering and answering calls, they also need to answer customer questions from online customer service or WeChat public accounts. The process is cumbersome and very difficult. It is difficult to guarantee the timeliness of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/35G06Q30/00G10L13/02
CPCG06F16/3329G06F16/355G06Q30/01G10L13/02
Inventor 庞有振
Owner CHINA PING AN LIFE INSURANCE CO LTD
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