Every ATM exhibits different demand drivers, varying operational challenges, and unique optimal efficiency metrics. That’s why CMS Analytics develops a mathematical cash management model for each ATM in your network. We tailor ATM solutions for financial institutions and independent deployers to the exact requirements and objectives of each network.
More than just Forecasting
Too often, too much emphasis is placed on the forecasting element of cash management. CMS Analytics’ mathematical approach to cash management takes an independent view of your network’s opportunities and constraints. By optimising the entire cash supply chain, CMS Analytics achieves industry-leading cost and efficiency benefits.
Maximising Key Metrics
The efficiency of an ATM network can be the determining factor in profitability. We don’t stifle profitability by setting targets to key metrics such as residual percentages. Positive metrics should be a consequence of efficient cash management rather than a driver. Our customers experience industry-leading cash utilisation and residual metrics.
A Streamlined Process and Intensive MI
Cash management costs typically occupy 25-40% of an ATM operation’s cost base, therefore ensuring these costs are optimised should be a priority. Not only is it important to ensure that the total cash management costs are minimised for the network, but also the three main constituents of cash management costs (CIT, note supply, and interest) are balanced. Disproportional costs can greatly impact the efficiency of a network and make it more difficult to adapt to changes in external factors. Our mathematicians constantly optimise the costs within your network, measure their impact on profitability and analyse future cost scenarios.
Each site’s mathematical model includes all of the costs associated with its operation; the key three costs being interest, CIT and note supply. With this, all the modelling and simulations that are the undertaken factors in the cost base, ensuring that maximum efficiency comes at the lowest possible cost.