Sentinel - Real Time Shelf Security

Sentinel is a shelf-based monitoring system that leverages weight sensors and AI to detect potentially suspicious activity in real time.
The system integrates with standard shelving infrastructure and continuously analyzes product movement patterns. This enables early identification of atypical behaviors that may indicate theft, and triggers mobile alerts to loss prevention personnel for timely intervention.

Unlike systems based on predefined rules, Sentinel adapts to the specific traffic and operational dynamics of each retail environment. This learning-based approach supports greater detection accuracy while minimizing false positives.

Beyond anomaly detection, Sentinel is designed as a foundational infrastructure for real-time shelf intelligence. It aims to support broader operational use cases such as inventory visibility, out-of-stock (OOS) alerts, and SKU-level conversion tracking—enabling deeper insights into product and shopper behavior at the shelf level.