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USE CASE

Cash Optimization (ATMs)

Objective

  • Create an intelligent cash management system (eg, in ATMs) based on cash demand forecasting; predict cash demand

  • Overcome unpredictability across ATMs (eg, mobile users, paydays, holidays, seasonal demand per region)

Outcome

  • Build forecasting models that will be accurate to the tune of +/- 15% on average

Business Value

  • Reduced financial costs due to unused stocked cash that accumulates interest paid to the Central Bank

  • Daily forecasts for deposits and withdrawals that helped the bank to more efficiently distribute its money across ATMs and branches, improving the return on their cash assets. 

H2O's AI and Data Approaches

  • Build cash demand forecasting models for each ATM based on historical cash demand data and seasonal trends (eg, consumers draw out comparatively large sums of cash at the start of each month.)

 

Resources

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