Teller shift arrangement information acquisition method and device, electronic equipment and storage medium

An acquisition method and teller technology, applied in the computer field, can solve problems such as low efficiency of teller scheduling and low accuracy of business volume forecasting at outlets, and achieve the effects of improving efficiency, improving human resource utilization, and accurate scheduling information

Active Publication Date: 2021-10-01
SHANGHAI PUDONG DEVELOPMENT BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a method, device, electronic equipment and storage medium for obtaining teller scheduling information, so as to solve the problem of low prediction accuracy of business volume at outlets and the problem of teller scheduling information. The problem of inefficiency

Method used

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  • Teller shift arrangement information acquisition method and device, electronic equipment and storage medium
  • Teller shift arrangement information acquisition method and device, electronic equipment and storage medium
  • Teller shift arrangement information acquisition method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] figure 1 The flow chart of the method for obtaining the teller scheduling information provided in Embodiment 1 of this application. This embodiment is applicable to the situation where tellers are automatically scheduled according to the forecast results of the business volume of each branch of the bank. This method can be based on the teller scheduling information. The acquiring device can be implemented by means of software and / or hardware, and is preferably configured in an electronic device, such as a computer device or a server. like figure 1 As shown, the method specifically includes:

[0028] S101. Use the pre-trained business volume prediction model to predict the daily converted business volume of each network point within the target time period, and obtain the predicted converted business volume of the target business in each network point, wherein the converted business volume is based on different The business volume after the conversion of the complexity ...

Embodiment 2

[0037] figure 2 It is a flow chart of the training process of the traffic volume prediction model provided in Embodiment 2 of the present application. This embodiment further optimizes the training process of the traffic volume prediction model on the basis of the foregoing embodiments. like figure 2 As shown, the method includes:

[0038] S201. Calculate the average completion time of the target business according to historical data.

[0039] Wherein, the target service may be any kind of bank outlet service. Historical data is the data of various businesses handled by each outlet. According to this data, the start and end time of any target business can be determined, and the start and end time of the target business can be determined by counting the start and end time of the target business in the historical data in the past period of time. average completion time.

[0040] S202. Comparing the average completion time of the target business with the average completion ti...

Embodiment 3

[0050] image 3 It is a flow chart of the method for obtaining teller schedule information in Embodiment 3 of the present application, and this embodiment is further optimized on the basis of the foregoing embodiments. like image 3 As shown, the method includes:

[0051] S301. Use the pre-trained business volume prediction model to predict the daily converted business volume of each network point within the target time period, and obtain the predicted converted business volume of the target business in each network point, wherein the converted business volume is based on different The business volume after the conversion of the complexity of the business, the complexity is defined by the conversion coefficient obtained by comparing various types of business with the preset benchmark business.

[0052] S302. Divide the historical converted business volume of the target business in each network point by the number of tellers who have completed the historical converted busines...

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Abstract

The invention discloses a teller shift arrangement information acquisition method and device, electronic equipment and a storage medium. The method comprises the steps of: predicting the daily converted business volume of each outlet in a target time period through employing a pre-trained business volume prediction model, and obtaining the predicted converted business volume of a target business in each outlet; according to the predicted converted business volume and the number of tellers, calculating the number of tellers needed by the target business in each outlet; and determining a target function according to the distance from each teller to each outlet and the distance between the outlets by taking the number of tellers needed as a constraint condition, and generating daily teller shift arrangement information for the target business in each outlet in a target time period by utilizing a linear programming model. According to the technical scheme of the invention, the accuracy of outlet business volume prediction can be improved, and the teller shift arrangement information can be reasonably and efficiently obtained according to the business volume prediction result.

Description

technical field [0001] The present application relates to computer technology, and in particular to a method, device, electronic equipment and storage medium for acquiring teller scheduling information. Background technique [0002] At present, the counter channel of commercial banks is still an important channel for banks to initiate offline business. Commercial banks have many offline outlets, providing customers with various business handling services. [0003] Usually, the business volume of each branch of the bank is different, and the business volume of the same branch on different days is also different. According to the business volume of the branch, dynamically adjust the tellers of each branch, and reasonably arrange the teller shifts of the branch, which can improve Human resources utilization efficiency, improve customer experience. [0004] In the context of intensive operation, it is necessary to strengthen the integration and overall planning of resources fro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q40/02
CPCG06Q10/06316G06Q10/06311G06Q10/04G06Q40/02
Inventor 彭晨马滢喻露何增之
Owner SHANGHAI PUDONG DEVELOPMENT BANK
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