AI and Machine Learning in Cash Forecasting

Traditional cash demand forecasting often struggles to capture the non-linearities and rapidly changing dynamics (e.g., digitalization, economic shocks) of the modern cash cycle. This advanced course provides a deep, practical dive into leveraging **Artificial Intelligence (AI) and Machine Learning (ML)** to achieve unprecedented accuracy in cash demand forecasting. Participants will learn how to build and validate advanced time-series models (e.g., LSTMs, Prophet), integrate high-frequency and alternative data sources (e.g., ATM data, market sentiment), and implement a rigorous **Model Risk Governance** framework. The program enables central banks to move from reactive to predictive cash management, optimizing inventory levels and minimizing the significant financial costs associated with over- or under-ordering new currency.