The Concept: Transitioning from reactive, manual security monitoring to a fully proactive, AI-driven loss prevention and analytics apparatus. By leveraging our existing camera infrastructure with Avigilon analytics and Motorola Solutions detection gateways, we automate threat detection, deeply understand guest behavior, and empower associates in real time.
Automating Loss Prevention with AI Video Analytics
Currently, General Managers and Loss Prevention (LP) teams spend hours manually combing through archived camera footage to investigate theft. Avigilon (a Motorola Solutions company) completely removes this manual labor by layering AI analytics over our existing camera infrastructure.
- Real-Time Concealment Detection: The system's AI is trained to recognize suspicious movements. The exact second a guest conceals an item in a bag or pocket, the system automatically flags the event.
- Instant Intervention & Reporting: Rather than finding out about a theft hours later, LP or management receives an instant alert with the video clip. The system can then automatically compile a detailed, time-stamped incident report complete with high-resolution images to hand directly to local authorities.
Checkpoint Modernization: Concealed Threat & Theft Detection
Legacy store EAS (Electronic Article Surveillance) gates only beep when a tagged item leaves the store, doing nothing to prevent actual danger. We propose replacing these outdated checkpoints with advanced, frictionless screening systems like CEIA OPENGATE or Motorola Solutions Concealed Weapons Detection (CWD).
- Frictionless Scanning: Guests walk naturally through the entrance without stopping or emptying their pockets. The system automatically scans for mass metallic signatures associated with weapons or foil-lined booster bags used by organized retail crime.
- Targeted Threat Location: If a threat or massive concealed item is detected, the system does not just beep—it provides management with a visual indicator of exactly where on the guest's person the item is located (e.g., left ankle, right jacket pocket). This allows for safe, highly specific interventions.
Risk Profiling & Integrated Watchlists
By pairing Avigilon's Appearance Search and facial recognition capabilities with our Oracle and Microsoft backend databases, we can build incredibly deep and rich guest profiles.
- Banned Guest Interception: The system can maintain a secure, localized watchlist. If a known shoplifter, organized retail crime suspect, or previously banned guest walks through the doors, the AI instantly recognizes them and discreetly alerts management for immediate interception.
- Risk & Threat Profiling: This aggregation of data allows LP to move from a reactive stance to a predictive one, identifying coordinated theft rings and repeat offenders across multiple store locations before they ever reach the merchandise.
Granular Floor Analytics & VIP Clienteling
Avigilon's ecosystem goes far beyond security; it replaces basic, macro-level door counters with highly granular, individual guest journey analytics.
- Dwell Time & True Conversion: We can track specific guest pathways through the store, identifying exactly which displays hold attention (dwell time) and tying those specific journeys directly to conversion rates at the POS.
- Associate Pinging: Tying this system into our unified hardware stack creates a massive clienteling advantage. When the cameras recognize a high-value, high-conversion guest entering the store, the system can automatically send a ping directly to an associate's Honeywell EDA52 device. This alerts the associate to step in and provide priority, white-glove service to guarantee the sale.