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A Probabilistic Rating System for Team Competitions with Individual Contributions Read chapter Read first chapter

2015 | OriginalPaper | Chapter

ATM Service Cost Optimization Using Predictive Encashment Strategy

Authors : Vladislav Grozin, Alexey Natekin, Alois Knoll

Published in: Analysis of Images, Social Networks and Texts

Publisher: Springer International Publishing

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Abstract

ATM cash flow management is a challenging task which involves both machine learning predictions and encashment planning. Banks employ these systems to optimize their costs and improve the overall device availability via reducing the number of device failures. Although cash flow prediction is a common task, complete design of the cost optimization system is a complex design problem. In this article we present our complete encashment strategy methodology. We evaluate the proposed system design on real world data from one of the Russian banks. We show that one can effectively achieve \(18\,\%\) cost reduction by employing such strategy.

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Metadata
Title
ATM Service Cost Optimization Using Predictive Encashment Strategy
Authors
Vladislav Grozin
Alexey Natekin
Alois Knoll
Copyright Year
2015
Book
Analysis of Images, Social Networks and Texts

Print ISBN: 978-3-319-26122-5

Electronic ISBN: 978-3-319-26123-2

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-26123-2_37

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