A three-step AI engine — forecast, optimise, learn — that processes years of history, seasonality, and anomalies to generate colour-coded daily cash order proposals for every cashpoint in your network.
Branch managers over-order cash as safety buffer, tying up millions in idle inventory
ATM cash-outs damage customer trust and drive users to competitors
Seasonal spikes and holidays cause panicked last-minute cash orders
No feedback loop — forecasting quality never improves over time
CashPrime AI Demand Forecasting uses a three-step engine: Step 1 forecasts demand using 3+ years of history, seasonality, and event calendars. Step 2 optimises order quantities against cost models (CIT trips, interest, insurance). Step 3 compares predictions to actuals and self-adjusts. The result: colour-coded daily order proposals with self-assessed confidence levels.
Forecast → Optimise → Learn. Continuous self-improvement with every cash cycle.
Green/amber/red confidence indicators help staff make faster decisions on order quantities.
Automatically adjusts for Ramadan, Eid, paydays, and custom local events.
Balances cash availability against CIT costs, interest carry, and insurance to minimise total cost.
Identifies unusual demand patterns and flags them before they cause outages or overstocking.
Track prediction vs actual performance per cashpoint. Identify opportunities for further improvement.
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Platform Module Overview
Platform Module
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