FIELD: data processing.
SUBSTANCE: invention relates to method and system for optimization of cash collection facilities of cash circulation (CC) objects. Method, in which: obtaining CC object data for a given time period, wherein CC objects are self-service devices (SD) and / or bank compartments and data include location information of CC objects, history of statuses and operations of CC objects, as well as the amount of funds on each CC object; processing CC history data and object operations; based on processed status history data and operations of CC objects, performing movement of cash in each CC object by means of machine learning algorithm; method includes optimizing cash collection of CC objects based on the prediction done for a given time interval, forming a matrix of CC object conditions with encapsulation performance parameters.
EFFECT: technical result consists in improvement of efficiency of collection of CC objects, due to automated forecasting of financial load of CC objects in a given time interval based on data on the state of each CC object.
16 cl, 9 dwg
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Authors
Dates
2020-06-25—Published
2019-09-05—Filed