Outbound prediction system and method for switching AI human-computer interaction to human-computer interaction

Abstract

The invention relates to outbound prediction, in particular to an outbound prediction system and method for switching AI human-computer interaction to human-computer interaction; an AI prediction index collection module collects state indexes of a call in an outbound stage, a human-computer interaction stage and a human-computer interaction stage, and provides data support for an AI prediction core algorithm module; the AI prediction core algorithm module is used for predicting the call-out volume based on the state indexes collected by the AI prediction index collection module; the AI robot outbound control module receives the outbound volume data, assembles the outbound volume data into a data format required by real outbound, and calls an AI robot outbound control component to initiate outbound; the AI man-machine dialogue process control module is used for defining related man-machine dialogue process nodes according to the business scene in the man-machine dialogue process and judging whether the customer is a target customer or not in the man-machine dialogue process. According to the technical scheme provided by the invention, the defects that the target customers cannot be effectively screened and the call volume cannot be reasonably predicted in the prior art can be overcome.

Description

technical field [0001] The present invention relates to outbound call prediction, in particular to an outbound call prediction system and method in which AI human-computer interaction is transferred to human-human interaction. Background technique [0002] At present, the existing outbound call forecasting solutions in the market are mainly based on the traditional outbound call mode, that is, after the call is connected, it is directly transferred to a human agent. With the rapid development of AI technology and the emergence of AI phone robots, AI phone robots can talk to customers first after the call is connected, screen customers, and transfer customers who meet the screening conditions to artificial seats in real time. Further processing by human agents. [0003] However, with the intervention of AI robots, the traditional outbound call prediction scheme is not suitable for the existing outbound call mode that includes AI robots. In the existing outbound call mode th...

AI Technical Summary

Problems solved by technology

[0005]Aiming at the above-mentioned shortcomings existing in the prior art, the present invention provides an outbound call prediction system and method for AI human-computer interaction followed by human-human interaction, which can effectively Overcome the shortcomings of the existing technology that cannot effectively screen target customers and reasonably predict the number of outbound calls

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