Retail theft costs billions annually. Electronic Article Surveillance (EAS) technologies like Acousto-Magnetic (AM), Electromagnetic (EM), Radio Frequency (RF), and RFID have served retailers for decades. However, retail is rapidly changing with artificial intelligence (AI) at its core.
AI shoplifting detection represents a revolutionary shift from reactive to proactive security measures. Rather than waiting for thieves to trigger alarms at store exits, these intelligent systems identify suspicious behaviour in real-time.
This guide covers AI shoplifting detection, how these systems work, and the major benefits they offer retailers aiming to protect profits and inventory.
AI shoplifting detection uses advanced algorithms to analyse footage from security cameras, identifying suspicious behaviours that signal theft. AI solutions monitor gestures, movements, and patterns to spot potential shoplifting.
Veesion, a leading provider in this space, exemplifies how AI shoplifting detection works in practice. Their system processes video feeds through sophisticated machine learning algorithms trained to recognise specific behaviours associated with theft attempts. The technology can distinguish between normal shopping behaviours and suspicious actions such as concealing items, removing tags, or exhibiting nervous movements typically associated with shoplifting.
These AI systems operate as an additional layer of security, working alongside existing infrastructure without requiring massive overhauls of current security setups.
Store owners receive real-time alerts when suspicious activity is detected. This allows for immediate response before theft occurs.
AI anti-shoplifting systems use computer vision and machine learning to monitor customer behaviour.
The process begins with security cameras capturing video footage throughout the store, which is then analysed by AI algorithms in real-time.
The core technology relies on behavioural analysis rather than object recognition.
Veesion's system, for instance, has been trained on millions of hours of retail footage to understand the subtle differences between legitimate shopping behaviours and suspicious activities.
The AI examines factors such as:
When the system detects suspicious behaviour, it immediately sends alerts to designated staff members through mobile applications or desktop notifications. These alerts include video clips of the suspicious activity, allowing security personnel to assess the situation quickly and respond appropriately.
AI shoplifting detection offers benefits beyond theft prevention, making it an attractive investment for retailers seeking comprehensive security.
Proactive Crime Prevention: Unlike traditional systems that activate only when thieves attempt to leave, AI shoplifting detection identifies suspicious behaviour as it occurs.
Better Staff Efficiency: Rather than requiring dedicated security personnel to monitor multiple screens, AI systems automatically alert staff only when suspicious activity occurs. This targeted approach allows employees to focus on customer service.
Real-time Response Capabilities: Immediate alerts enable swift response to potential theft situations, increasing the likelihood of recovering merchandise.
As theft methods evolve, retailers need advanced solutions to protect investments.
Milestone Integrated Systems leads in shrink management. As retail security specialists, we understand the challenges retailers face.
Don't wait for losses to escalate.
Contact us today to see how AI shoplifting detection can transform your retail security.