Bank outlet business prediction and scheduling method

Abstract

The invention provides a bank outlet business prediction and scheduling method and system. The prediction and scheduling method comprises the following steps: establishing a business prediction modelof a Latte-LSTM algorithm; inputting historical business data and environment data in unit time into the business prediction model and using for training the business prediction model data, wherein the environmental data comprises website geographic positions and weather data, and the historical business data comprises start time, end time, business types and flow data of business managers of different channels in unit time; predicting business data of at least one website in the future, and performing work scheduling on the website according to the predicted data. According to the invention,the Lattice-LSTM algorithm is adopted to predict the business volume of the banking outlet and the staff scheduling, and the arrangement and transfer of banking outlet equipment and staff are optimized, so that the cost and resources are saved.

Description

[0001] field of invention [0002] The invention relates to the field of banking Internet, in particular to a method for predicting and dispatching bank outlet business. Background technique [0003] With the development of economy and technology, banking business has gradually changed from manual counters to branch counters, and the business is handled through Internet technology. The business volume is different, so that the branch business does not match the configuration of equipment and personnel. Some branch equipment and personnel are overloaded, and other parts of equipment are idle. Banks spend a lot of manpower and material resources every year to manage the equipment and personnel of bank branches. , unable to achieve accurate outlet management. Contents of the invention [0004] One of the purposes of the present invention is to provide a business forecasting and scheduling method for bank outlets. The prediction method uses a combination of deep learning algori...

AI Technical Summary

Problems solved by technology

[0003] With the development of economy and technology, banking business has gradually changed from manual counters to branch counters, and the business is handled through Internet technology. The business volume is different, so that the branch business does not match the configuration of equipment and personnel. Some branch equipment and personnel are overloaded, and other parts of equipment are idle. Banks spend a lot of manpower and material resources every year to manage the equipment and personnel of bank branches. , unable to achieve accurate network management

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