Case Study: Hansab AS improves ATM cash management with MindTitan AI

Hansab AS cuts unnecessary ATM trips by 10% with MindTitan

Hansab AS, an Estonian technology firm managing a network of ATMs, faced significant operational challenges. Their manual process for monitoring cash levels across 360 machines was resource-intensive, leading to inaccurate cash flow predictions, unnecessary transport trips, and suboptimal service fees. To address this, Hansab partnered with the AI vendor MindTitan on the CASHX AI project to enhance efficiency through machine learning.

MindTitan developed and implemented a machine learning model that predicts ATM cash requirements with high accuracy. The solution was rolled out in phases, culminating in a production-ready system that integrates seamlessly with Hansab's operations. The project successfully reduced unnecessary cash transport trips by at least 10%, lowering operational costs and environmental impact while improving service quality and fee structures for Hansab AS.

Hansab AS