Reduce shrinkage by up to 85% with real-time behavioral analytics. Detect shoplifting, monitor self-checkout, and analyze customer flow without false alarms.
Retail shrinkage costs European retailers €49B annually. Traditional loss prevention methods catch less than 5% of theft incidents.
95% of traditional alarm triggers are false positives, causing security teams to ignore genuine threats. EAS gates fail to detect concealment methods used by professional shoplifters.
Human guards can effectively monitor CCTV for only 20 minutes before attention degrades. Multi-store operations cannot scale human oversight.
AI detects concealment gestures, unusual dwell times near high-value items, and coordinated theft patterns. Alerts security in real-time with video clips.
Identifies scan avoidance, barcode switching, and pass-around techniques at self-checkout stations with computer vision.
Heatmaps and path analysis reveal traffic patterns, dwell zones, and conversion hotspots to optimize store layout.
Recognizes coordinated group behavior patterns associated with organized retail crime rings across multiple visits.
Argos uses behavioral analysis — tracking body movements, hand-to-item interactions, and concealment gestures — rather than facial recognition. This approach is GDPR-compliant and detects theft methods that facial recognition cannot, such as first-time offenders.
Yes. The Argos Edge Box connects to any IP camera infrastructure. No camera replacement needed. Deployment is plug-and-play, typically operational within hours across all store locations.
Retailers typically see 85% cost savings compared to traditional manned security, with a sub-1-second response time versus 15-30 minutes for human guards. The system provides 24/7 coverage across unlimited cameras.
Contact us to plan your pilot program.