Transform Warehouse Operations with AI-Powered Logistics Video Analytics
Reduce DEPS by 38% and improve compliance to SOPs by 65% – using cameras you already own
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Key Features of Logistics Video Analytics
Quick and Easy Implementation
Plugs into existing CCTV Infrastucture
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Case Study: How a Leading Logistics Operator Boosted Warehouse Productivity and Reduced Losses with AI Video Analytics
Problem
A major pan-India logistics provider managing high-volume warehouse operations faced recurring operational inefficiencies and compliance issues. Despite CCTV coverage, they lacked real-time visibility into violations, improper handling, and safety breaches.
Key operational pain points included:
Frequent box mishandling (open boxes, throwing, standing/sitting on parcels) leading to DEPS losses
SOP non-compliance by staff such as moving packages into unauthorized zones and ignoring PPE requirements
MHE misuse, like wrong forklift parking and underutilization of BOPT units
Inefficient dock and bay management, with trucks idling or delayed in turn-around time
Lack of real-time fire, smoke, and intrusion detection, especially in off-hours
No visibility into camera downtime, tampering, or storage (HDD) failures, risking surveillance blind spots
With rising SLA penalties and declining customer satisfaction scores, the leadership team needed a scalable, automated solution to enforce discipline and extract actionable insights from their existing video infrastructure.
Solution
The logistics player deployed Agrex.ai’s Logistics Video Analytics Suite, integrating it with their existing CCTV systems across key hubs. The rollout included:
- AI-based violation detection for:
Parcel mishandling (open box, throwing, standing/sitting)
Unauthorized movement of boxes or pallets
Crowd formation alerts in sensitive zones
Intrusion detection tailored to shift schedules and high-security areas
SOP & safety compliance monitoring, including:
PPE detection for gloves, vests, helmets
Blocked emergency exits and fire/smoke detection
MHE and BOPT analytics, including:
Forklift idle time, misparked MHE, and utilization heatmaps
Advanced dock analytics for:
Vehicle idle time, wait time, and turn-around time (TAT) by bay
Remote health monitoring of all surveillance equipment, tracking:
Camera/NVR online/offline status, tampering, blurred lenses, and HDD health
Outcome
In just 90 days, the operator saw measurable, cross-functional improvements:
↓ 31% DEPS losses from automated alerts on parcel abuse and unauthorized zone entry
↓ 24% truck turn-around time (TAT) from live dock analytics and bay optimization
↓ 47% fire/safety risks through real-time smoke, fire, and emergency-exit alerts
↑ 19% forklift utilization, cutting idle time and enabling smarter shift planning
↑ 22% labour productivity, aided by PPE compliance and crowd control
↑ 96% camera uptime, due to proactive remote monitoring and maintenance triggers
The result: more efficient warehouse utilization, higher SOP compliance, and a significant reduction in operational risk—all without installing new hardware.