Optimization of Atm and Branch Cash Operations Using an Integrated Cash Requirement Forecasting and Cash Optimization Model

Abstract

In this study, an integrated cash requirement forecasting and cash inventory optimization model is implemented in both the branch and automated teller machine (ATM) networks of a mid-sized bank in Turkey to optimize the bank’s cash supply chain. The implemented model’s objective is to minimize the idle cash levels at both branches and ATMs without decreasing the customer service level (CSL) by providing the correct amount of cash at the correct location and time. To the best of our knowledge, the model is the first integrated model in the literature to be applied to both ATMs and branches simultaneously. The results demonstrated that the integrated model dramatically decreased the idle cash levels at both branches and ATMs without degrading the availability of cash and hence customer satisfaction. An in-depth analysis of the results also indicated that the results were more remarkable for branches. The results also demonstrated that the utilization of various seasonal indices plays a very critical role in the forecasting of cash requirements for a bank. Another unique feature of the study is that the model is the first to include the recycling feature of ATMs. The results demonstrated that as a result of the inclusion of the deliberate seasonal indices in the forecasting model, the integrated cash optimization models can be used to estimate the cash requirements of recycling ATMs.

Cash stock strategies during regular and COVID-19 periods for bank branches by deep learning

“…However, to our knowledge there is no application of DL to manage cash inventory of commercial banks in the literatures. There are only a handful of studies that used DL in predicting cash flow [ 14 ] and ATM cash demands to optimize the replenishment transportation schedule [ 15 – 17 ]. A few studies that directly addresses cash stock at the branch level we found are by [ 1 , 3 , 18 ].…”