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Combat shrinkage and organized retail crime with intelligent video analytics. Visylix detects shoplifting behaviors, monitors high-value zones, surfaces cross-camera appearance candidates for an operator to review, and integrates with POS data to identify employee theft and self-checkout fraud in real time.
Key challenges that organizations face without intelligent AI-powered solutions.
Retail shrinkage costs billions annually, with traditional LP teams able to monitor only a fraction of store activity through manual CCTV review.
Organized retail crime rings use sophisticated techniques that overwhelm conventional security measures and exploit blind spots in camera coverage.
Self-checkout systems have become a major shrinkage vector, with scan-avoidance and ticket-switching fraud difficult to detect without AI-powered monitoring.
Correlating POS transaction data with video evidence for internal theft investigations is time-consuming and requires dedicated forensic resources.
Intelligent capabilities that transform your existing camera infrastructure into a powerful decision-making engine.
AI models trained on thousands of theft scenarios detect concealment gestures, shelf sweeping, cart abandonment, and other suspicious behaviors in real time, alerting LP teams before losses occur.
Per-camera tracking follows individuals within each camera view, supporting journey reconstruction and flagging repeat offenders or known shoplifter profiles.
Computer vision monitors self-checkout stations to detect scan avoidance, barcode switching, pass-around techniques, and basket manipulation that result in unscanned merchandise.
Automatically correlates point-of-sale exception reports with synchronized video evidence, enabling rapid investigation of voids, refund abuse, sweet-hearting, and cash register discrepancies.
Quantifiable improvements delivered through AI-powered intelligence and automation.
AI-powered detection and deterrence significantly reduce inventory shrinkage across all loss categories.
Real-time alerts enable LP teams to intervene within seconds rather than discovering losses after the fact.
Automated POS-video correlation reduces investigation time from hours to minutes for internal theft cases.
Computer vision monitoring at self-checkout stations dramatically reduces scan-avoidance and switching fraud.
Intrusion and line crossing for restricted areas, loitering for dwell in high-value aisles, abandoned and removed object detection for stock movement, tailgating at staff doors, and queue analytics for till pressure. All 22 models are included on any AI plan with no per-stream fee.
No. Every paid plan includes unlimited streams, so adding stores or cameras does not change the licence cost. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month. Per-camera licensing is the norm in retail VMS and the usual reason multi-site rollouts stall.
Yes, through multi-cluster federation. Each store records locally while a central team searches and views across sites, with role-based access deciding who sees which store and retention set per site.
In most cases yes. Visylix auto-discovers ONVIF cameras and connects to RTSP directly, so it is camera-agnostic. NVR forensic access covers 15+ brands including OEM rebrands, so historical footage stays reachable during a migration.
Plate journeys are exact and can link vehicle activity across sites. Person journeys work on appearance rather than identity, so they help follow a route within a session but must not be treated as identity-grade recognition or used as proof of who someone is.
Discover how Visylix AI can protect your retail operations from shrinkage, shoplifting, and organized retail crime with intelligent real-time detection.