A method for automatically generating a client tag in an intelligent voice dialogue process

Abstract

The invention discloses a method for automatically generating a client tag in an intelligent voice dialogue process. The method comprises the following steps: deploying the client tag in advance whenan intelligent voice robot speech is made; a plurality of nodes are initiated by a starting node and expanded downwards to form an intelligent voice conversation process, the nodes comprise a mandarintechnology, a jumping conversation technology and a judgment item, the mandarin technology and the judgment item are combined to form an open field white, the mandarin technology, the jumping conversation technology and the judgment item are combined to form a round of conversation, and the open field white and a plurality of rounds of conversations form the intelligent voice conversation process; the label analysis engine collects and extracts various client labels in the intelligent voice dialogue process; and the data center synchronizes the summarized various client tags into the interaction records and the client attributes and generates a complete client portrait. The technical problems that an existing customer tag generation method is limited greatly, long in period and low in efficiency, and customer tag content is hard to set independently according to enterprise requirements are solved.

Description

technical field [0001] The invention relates to the field of intelligent voice, in particular to a method for automatically generating customer labels during intelligent voice dialogue. Background technique [0002] With the improvement and progress of artificial intelligence technology, more and more enterprises choose to deploy various artificial intelligence products to improve the efficiency of production and operation. Among them, intelligent voice robots are used to replace or assist human agents to communicate with customers, thereby greatly increasing the number and efficiency of visiting and receiving customers, and at the same time alleviating the labor shortage of enterprises and reducing management costs. [0003] The existing intelligent voice robots basically only cover the functions of intelligent answering, dialing, and dialogue. For enterprises, it is hoped that in addition to completing intelligent dialogue tasks with customers, intelligent voice robots can...

AI Technical Summary

Problems solved by technology

[0005] (2) All voice data are collected and analyzed together, which takes a long period and low classification efficiency;

[0006] (3) Due to the long analysis cycle and low classification efficiency, it will delay the enterprise to make further decisions based on the customer classification results and affect the overall operational efficiency

[0007] In summary, the existing methods for generating customer labels are limited, long-term, and inefficient, which is not conducive to agile decision-making by enterprises

Images