Outbound call 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 high call loss rate and waste of user resources, achieve the effect of reducing call loss rate, solving high call loss rate, and improving user resource utilization

Active Publication Date: 2021-05-04
北京高阳捷迅信息技术有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • 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 customer service, so as to solve the problem of wasting user resources due to the high call loss rate of the outbound call prediction algorithm in the related art question

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Outbound call prediction method and device for intelligent customer service
  • Outbound call prediction method and device for intelligent customer service
  • Outbound call prediction method and device for intelligent customer service

Examples

Experimental program
Comparison scheme
Effect test

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 specification and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The application discloses an outbound call prediction method and device for intelligent customer service, computer equipment and a readable storage medium. The method includes: acquiring a preset ringing model, the preset ringing model refers to the corresponding relationship between the ringing duration of an outbound call and the connection probability of a user; inputting the current ringing duration of an outgoing call into the preset ringing Bell model, to obtain the connected probability of the user of the current outbound call; determine the total amount of predicted outbound calls according to the connected probability of the user of the current outbound call and the idle time of the seat; carry out outbound calls according to the total amount of predicted outbound calls, And update the preset ringing model according to the outbound call result. The present application solves the technical problem that the outbound call prediction algorithm in the related art causes waste of user resources due to high call loss rate. Through this application, the purpose of reducing the call loss rate by accurately predicting the amount of outbound calls is achieved, thereby achieving the technical effect of improving the utilization rate of agents and user resources.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap