Autonomous Cargo Theft Prevention
project44 has launched Theft Prevention, an AI-powered suite that continuously monitors truckload shipments for signs of cargo theft and automatically triggers carrier outreach when high-risk events occur, reducing the window between incident detection and resolution to minutes. Earlier detection means more recovered cargo, fewer total loss claims, and lower claims frequency across high-value lanes.
Theft Prevention uses AI models and telematics data from ELD providers, trailer sensors and door sensor feeds to monitor shipments and raise actionable exceptions within minutes of suspicious activity. When an exception is detected, an AI agent automatically contacts the carrier to verify shipment status, providing unlimited, simultaneous coverage across every shipment in a network.
The initial release includes four core capabilities:
Zone Monitoring: Users define risky and safe geofences directly within the platform, including theft hotspots, border crossings and secure parking locations. The system generates proactive approach, entry, dwell and exit alerts with explainable context, showing zone name, time in zone, and vehicle location.
Route Deviation: An AI model continuously compares actual truck movement against an expected route, detecting distance-based and time-based deviations in real-time.
Idle Detection: An AI model monitors unscheduled vehicle idling by combining speed thresholds, engine status and optional door sensor signals to distinguish true idle events from planned stops.
AI Agents: When a risk exception is detected, an AI agent automatically initiates carrier outreach to verify shipment status and confirm driver location and escalate when contact cannot be established, enabling teams to contain incidents faster and improve the odds of cargo recovery.