The EuroFinance International Treasury Management conference, recently held in Copenhagen and attracted an international audience of over 2,000 delegates from more than 50 countries. Several discussions focused on cash management and cash optimization, with insights shared across sessions and by key participants.

A key highlight was on improving cash forecasting in a high-rate environment. Treasurers discussed the critical role of accurate cash flow forecasting, with one participant stating that “without cash forecasting, illiquidity is a real threat,” highlighting its importance for financial stability. This underscores how cash optimization hinges on predictive tools to manage liquidity effectively.

In another session titled "Liquidity Lessons: Staying Afloat When Rates Rise," treasurers emphasized proactive cash management in uncertain economic conditions. One participant reportedly stated, “In a high-rate environment, idle cash is a wasted opportunity - every dollar needs to work harder.” This reflects a push for optimization by ensuring cash is actively deployed rather than sitting unutilized, especially with rising interest rates.

With these thoughts in mind, the increasing necessity for cash optimization with the integration of AI is clearly evident. But how do we provide efficiency with our Cash Optimization solution?

Powered by advanced machine learning, our system delivers precise forecasts of cash traffic for branches and ATMs, both for deposits and withdrawals. This sophisticated system ensures a cost-optimized supply of cash points, including the fulfillment of emergency needs, all while keeping cash levels within approved limits. Our approach includes a suite of components: cash forecasting, cash transportation optimization, and real-time monitoring. For cash forecasting, we employ advanced statistical and machine learning algorithms to predict cash traffic for each cash point. The system automatically factors in weekly, monthly, and yearly seasonality and can use external data like weather forecasts or nearby out-of-stock events for even greater accuracy. With transport optimization the liquidity of all cash points can be ensured while keeping combined costs as low as possible. The algorithm considers key cost factors like interest loss from idle cash, transportation expenses, cash handling fees, and insurance costs, and creates a transport plan for the whole network that runs at the lowest cost, while respecting all limits and KPIs like vehicle capacities, maximum cash amounts and ATM capacities. Every 15 minutes, the monitoring process calculates the probability of the expected intra-day cash stock falling below the minimum at any time during the day and creates an automated urgent transport request if needed.

How are you leveraging advanced technology to optimize your cash management strategies?