Hansab

Introducing the CASHX AI Project

Meet the AI model designed to optimize ATM cash service requirements, ensuring cash is always available while minimizing operational inefficiencies.

Data Inputs: The Fuel for AI

The model uses historical data—cash withdrawals, deposits, ATM cash levels, and local events—to accurately forecast when ATMs need refilling or emptying.

Starting with a Proof of Concept (POC), the model is trained on historical data, then validated to ensure it predicts ATM cash needs accurately before moving to full-scale development.

Model Development: From Concept to Reality

Deployment & Monitoring: Seamless Integration

Once validated, the model is deployed into ATM systems to automate cash predictions. Continuous monitoring ensures it adapts to changing cash usage patterns and maintains reliability.

Post-deployment, the model enters a cycle of continuous improvement—retraining with new data to adapt to evolving consumer behavior, aiming for high accuracy and efficiency.

Continuous Improvement: Always Evolving

The Impact: Better Operations, Happier Customers

By predicting ATM cash requirements with precision, the model reduces operational costs, enhances customer satisfaction, and supports better financial and environmental outcomes for Hansab.

"MindTitan provides comprehensive support, ensuring robust and secures implementations that are both scalable and competitively priced."

Kaarel Ajaots, Business Development Manager, Hansab