ATM Service Cost Optimization Using Predictive Encashment Strategy

Autor:	Vladislav Grozin, Alexey Natekin, Alois Knoll
Rok vydání:	2015
Předmět:	Cost reduction Service (systems architecture) Operations research Computer science Systems design Cash flow Cash flow forecasting Real world data Cost optimization Task (project management)
Zdroj:	Communications in Computer and Information Science ISBN: 9783319261225 AIST
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::16b589605321232094d6e068cf372e30 https://doi.org/10.1007/978-3-319-26123-2_37 Zobrazit plný text záznamu