Outbound prediction method and device for intelligent customer service

A technology of intelligent customer service and prediction method, applied in the field of intelligent customer service, can solve problems such as waste of user resources and high call loss rate, achieve the effect of reducing call loss rate, solving user resource waste, and improving user resource utilization

Active Publication Date: 2020-05-05
北京高阳捷迅信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The main purpose of this application is to provide an outbound call prediction method and device, computer equipment, and readable storage medium for intelligent c

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  • Outbound prediction method and device for intelligent customer service
  • Outbound prediction method and device for intelligent customer service

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Embodiment Construction

[0029] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0030] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for...

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Abstract

The invention discloses an outbound prediction method and device for intelligent customer service, computer equipment and a readable storage medium. The method comprises the following steps: acquiringa preset ringing model, wherein the preset ringing model refers to a corresponding relationship between outbound ringing duration and user connection probability; inputting the current outbound ringing duration into the preset ringing model to obtain the user connection probability of the current outbound call; determining a predicted total outbound call amount according to the user connection probability and the seat idle duration of the current outbound call; and performing outbound according to the predicted total outbound amount, and updating the preset ringing model according to an outbound result. According to the method and the device, the technical problem of user resource waste caused by relatively high call loss rate of an outbound prediction algorithm in related technologies issolved. According to the method and the device, the purpose of reducing the call loss rate by accurately predicting the call-out amount is achieved, so that the technical effect of improving the seatutilization rate and the user resource utilization rate is achieved.

Description

technical field [0001] The present application relates to the technical field of intelligent customer service, in particular, to an outbound call prediction method and device for intelligent customer service, computer equipment and a readable storage medium. Background technique [0002] Intelligent customer service is an industry-oriented technology developed on the basis of large-scale knowledge processing, covering large-scale knowledge processing technology, natural language understanding technology, knowledge management technology, automatic question answering system, reasoning technology, etc., with industry versatility , not only provides fine-grained knowledge management technology for enterprises, but also establishes a fast and effective technical means based on natural language for communication between enterprises and massive users; at the same time, it can also provide enterprises with statistical analysis required for refined management information. With the r...

Claims

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Application Information

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IPC IPC(8): H04M3/51H04M3/22
CPCH04M3/2227H04M3/51H04M3/5183
Inventor 彭辉苗刚阮本兵夏鹏刘乔江涛
Owner 北京高阳捷迅信息技术有限公司
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