In the cash management and secure logistics industry, operational accuracy and traceability are critical. Every cash bag movement must be accounted for to minimize financial risk, ensure compliance and maintain customer trust. However, many organizations still rely on fragmented systems and manual processes that make tracking cash movements challenging and exception investigations time-consuming.

Our client, a leading global cash management and secure logistics company, faced this challenge as it sought to improve visibility across its cash handling operations. Cash bags were captured on surveillance cameras, but movements were not always consistently recorded within operational systems. As a result, exception investigations often required employees to manually review video footage for 30-45 minutes per case, creating operational inefficiencies and delaying resolution.

To address these challenges, the client collaborated with HCLTech. Together, we engineered an AI-powered cash bag tracking and monitoring system that combined computer vision, custom AI models and enterprise data integration to create a searchable, auditable digital trail for every cash bag movement.

The client's cash management operations depended on a combination of surveillance systems and enterprise applications that operated largely in isolation. While cameras captured cash bag movements, the information was not consistently linked with operational records, creating visibility gaps throughout the cash handling process.

When exceptions occurred, such as missing cash bags, delayed processing or operational discrepancies, investigation teams had to manually search through large volumes of video footage to identify relevant events. Each investigation could take between 30 and 45 minutes, reducing productivity and increasing operational costs.

The absence of a reliable digital audit trail also increased business risk. Without timestamped evidence linked to operational events, it was difficult to determine what had happened during an exception, respond quickly to inquiries or provide audit-ready documentation.

The organization needed a solution that could leverage its existing infrastructure while providing end-to-end visibility, automated tracking and near real-time operational insights without requiring significant additional investments.

HCLTech partnered with the client to design and deploy a cash bag tracking and monitoring system powered by Computer Vision and AI. The solution transformed existing camera infrastructure into an intelligent operational monitoring platform capable of tracking cash bag movements end to end.

Key highlights

The AI-powered cash bag tracking and monitoring system fundamentally changed how our client managed exceptions and operational visibility across its cash handling network.

Key highlights

As a trusted AI Engineering partner, HCLTech helped the client modernize cash operations, improve operational efficiency and establish a scalable foundation for intelligent, data-driven cash management.