Scheduling method for calling AI capability of multiple manufacturers by intelligent cloud call center

Abstract

The invention discloses a scheduling method for calling multi-manufacturer AI capability by an intelligent cloud call center, which comprises the following steps of: S1, extracting manufacturer data under a certain condition, and marking a manufacturer process; S2, initiating an intelligent outbound call, obtaining a maximum total score of an intelligent call flow according to the object data mark and the algorithm model, and initiating a call according to an intelligent call service flow; S3, for the historical service data, reversely calculating the flow service quality, and marking the data; and S4, realizing intelligent calling of multi-resource scheduling among multiple manufacturers according to the step S2 and the step S3, and selecting an optimal manufacturer route. According to the invention, through an iterative algorithm, the flexibility of intelligent call-out multi-manufacturer resource scheduling is improved, the bottleneck problem of resource waste caused by a fixed parameter algorithm is avoided, the efficiency of intelligent call multi-manufacturer resource scheduling is also improved, the AI multi-manufacturer income is reasonably allocated, the service quality is improved, the intelligent call deployment risk is reduced, and the global benefit of the intelligent voice in the outbound call field is ensured.

Description

Technical field [0001] The present invention relates to the technical field of smart cloud calling centers, and in particular, to a scheduling method for scheduling multi-vendor AI capabilities in a smart cloud call center. Background technique [0002] With the development and maturation of artificial intelligence and voice interaction, AI intelligent voice is gradually entering the lives of consumers. Call center, also known as the customer service center, originated in the 1930s, is a relatively concentrated place, a service agency consisting of a batch of service staff. The call center contains two types of exports and incoming types. The outgoing type business is increasinglycoming the mainstream business of the market, which takes the initiative to call the customer to conduct telephone marketing and market surveys, and have become one of the more popular competition for the market. The AI ​​robot waves both improved the promotion efficiency and saving the extension cost of...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem in the prior art that resource scheduling among call center intelligent outbound calls is uneven between multiple service vendors, resulting in the problem that the service quality cannot be improved, and to provide a scheduling method based on a dynamic statistical process to call multi-vendor AI capabilities

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