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Öğe ATM Cash Flow Prediction and Replenishment Optimization with ANN(Kırıkkale Üniversitesi, 2019) Serengil, Sefik İlkin; Ozpinar, AlperATMs are physical interaction points betweenfinancial institutions and real customers. Storing physical cash causesrenouncing to get interested. On the other hand, customer satisfaction requiresto store the necessary cash amount. This concern becomes even more critical forcountries having high-interest rate and overnight interest rates are higher. Inthis paper, we will show that daily cash withdrawals are predictable and wewill propose a cost function for replenishment optimization. Experiments showthat proposed model decrease idle balance dramatically.
