Cash demand forecasting in ATMs by clustering and neural networks.

•ATM centers were clustered with respect to daily withdrawal trends.•Four neural networks built to predict an ATM center’s cash demand within a cluster.•We obtained the best symmetric mean absolute percentage error.•It is much smaller than that obtained on all ATMs without clustering.•This approach helps banks in reducing operational costs.