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Bank note distribution method and device for website

A network point and cash technology, applied in the field of data processing, can solve the problems of increasing the labor intensity of the staff, the large deviation between the amount of banknote allocation and the actual demand, etc., and achieve the effect of small deviation and low labor intensity

Pending Publication Date: 2019-11-22
BANK OF CHINA
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Problems solved by technology

This will easily lead to a large deviation between the amount of banknotes allocated and the actual demand, and will also increase the labor intensity of the staff

Method used

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  • Bank note distribution method and device for website
  • Bank note distribution method and device for website

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0033] It should be noted that in the transaction business of the bank, the daily cash acquisition of outlets consists of three parts: the first part is the balance of the tail box of the previous day, the second part is the amount claimed by the treasury on that day, and the third part is the amount of customer deposits .

[0034] The whereabouts of banknotes at outlets is also divided into three parts: the first part is used for customer withdrawals, the second part is the balance in the tail box, and the third part needs to be turned over to the treasury.

[0035]...

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Abstract

The invention discloses a bank note distribution method and device. The method comprises the steps of obtaining data information influencing cash transaction of a bank note distribution network to besubjected to bank note distribution; obtaining daily cash transaction demand peak data and feature data of a preset machine learning model according to the data information influencing the cash transaction of the to-be-allocated cash outlet; training a machine learning model according to the daily cash transaction demand peak data and the feature data, and predicting cash use peak data of the cashoutlets to be allocated next day by using the trained machine learning model and combining the cash transaction data of the cash outlets to be allocated on the same day; ond obtaining the next-day bank note distribution data of the to-be-distributed bank note outlet by utilizing the next-day bank note use peak data of the to-be-distributed bank note outlet and the current-day trunk balance data of the to-be-distributed bank note outlet. According to the invention, the deviation between the bank note distribution amount and the actual demand and the labor intensity of workers can be reduced.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a banknote matching method and device at an outlet. Background technique [0002] At present, all banks have developed rapidly in terms of operation management standardization, informatization, and centralization, but the intelligent development of cash business is still at a relatively low level. For outlets, the daily cash reserve must exceed and be as close as possible to the daily cash demand. If there is insufficient cash, users will not be able to withdraw money; Banknotes cannot generate income. Therefore, it is very important to accurately allocate cash volumes to outlets. [0003] The prior art generally configures the amount of cash deposited in outlets every day based on the experience of the staff. This will easily lead to a large deviation between the amount of money allocated and the actual demand, and will also increase the labor intensity of the staff. ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q40/02G06N20/00
CPCG06Q10/04G06Q40/02G06N20/00
Inventor 张靖赵船畯刘瑞国郭强郭钰洁李鹏丁平刘雅兰若倩温真真刘朋强毛福林常成娟闫小雨
Owner BANK OF CHINA
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