Customer service staff scheduling method, device and equipment and storage medium

A technology for customer service personnel and scheduling methods, applied in the field of artificial intelligence

Pending Publication Date: 2021-03-30
PING AN BANK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to solve the technical problem of dyna

Method used

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  • Customer service staff scheduling method, device and equipment and storage medium
  • Customer service staff scheduling method, device and equipment and storage medium
  • Customer service staff scheduling method, device and equipment and storage medium

Examples

Experimental program
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Embodiment Construction

[0072] The embodiment of the present invention provides a customer service personnel dispatching method, device, equipment and storage medium. Every preset period, the face images of customers in the waiting area of ​​each business network are captured, and the preset identity recognition models and preset ID models are input respectively. In the facial expression recognition model, the identity information and facial expression information of each customer are identified; according to the identity information, the total customer value of each business outlet is counted separately, and combined with the statistics of facial images, the number of customer service personnel that each business outlet needs to deploy is calculated; Finally, according to facial expressions, adjust the number of customer service personnel to be deployed in each business outlet, and send customer service staff deployment requests to surrounding business outlets that can be deployed. The invention also...

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PUM

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Abstract

The invention relates to the field of artificial intelligence, and discloses a customer service staff scheduling method, device and equipment and a storage medium. The method comprises the following steps: counting the number of clients according to monitoring videos in each business outlet, extracting face images of each client from the monitoring videos, respectively inputting the face images into a preset identity recognition model and a preset expression recognition model, and recognizing identity information and facial expression information of each client; according to the identity information, respectively counting the sum of customer values of each business outlet, and calculating the number of customer service staff needing to be allocated for each business outlet in combination with the counting number of the face images; and finally, according to the facial expression, adjusting the number of customer service staff needing to be allocated at each business outlet, and sendinga customer service staff allocation request to the business outlets which can be allocated around. The invention also relates to a blockchain technology, and the face image is stored in the blockchain. According to the invention, dynamic mobilization of customer service staff is realized, the manual utilization rate of customer service staff is improved, and the labor cost of enterprises is reduced.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method, device, equipment and storage medium for dispatching customer service personnel. Background technique [0002] In the past, the manpower allocation of outlets was usually evaluated based on manual experience based on the surrounding conditions of outlet opening, such as customer age level, education level, customer value, etc. However, the surrounding conditions of each outlet are complicated. Even if most of the attributes are consistent, it is difficult to accurately evaluate the labor cost, and it is difficult to calculate the busy time period of each outlet and dynamically deploy staff. [0003] Refer to the manpower settings of other branches around the branch, but due to the differences in business conditions and customer service processes of each branch, it is difficult to evaluate the manpower deployment rules using the method of reference and anal...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06F21/31G06Q10/06G06Q40/02
CPCG06N3/084G06F21/31G06Q10/06311G06Q40/02G06V40/172G06V40/168G06V40/174G06N3/045G06F18/22G06F18/214
Inventor 张志强
Owner PING AN BANK CO LTD
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