Instantly identify known shoplifters using internal or shared blacklists across your retail network.
Real-Time Alerts to Your Security Team
Send immediate alerts when known offenders or suspicious activities are detected — enabling faster incident response.
Behavioral Analytics to Flag Suspicious Activity
Detect loitering, sudden movements near high-value items, or frequent visits to the same store zones.
Easy Integration with Your Cameras
Works with standard CCTV infrastructure — no need to upgrade hardware or disrupt store operations.
Case Study
In 2024 a major fashion retail chain deployed 3DiVi AI Video Analytics across 183 stores in 32 cities — all without replacing existing surveillance cameras. Within just one year, theft losses dropped by over 50%.
Identify known offenders by matching faces from surveillance feeds against watchlists. When a match is detected, security teams get real-time alerts with photos and locations—enabling proactive theft prevention.
Suspicious Behavior Recognition
AI detects suspicious in-store behavior — like repeated shelf visits, lingering, or unusual movements. These behavioral insights help spot potential theft risks, even when the individual isn’t in the shoplifter blacklist.
Event Timeline & Video Evidence
Each alert is logged with time, video, and behavior tags. Staff can quickly review incident footage, build shoplifter profiles, and share evidence with law enforcement if necessary.
Automated Reporting and Dashboards
Store managers get live dashboards showing theft trends, store risk levels, and prevention effectiveness — helping make security decisions and prove ROI to leadership.