Organized retail crime and modern shoplifting succeed by exploiting routine, anonymity, and delayed detection. These actors are rarely impulsive. They observe, return, and adapt, taking advantage of stores that rely on passive recording or manual review. Effective loss prevention requires systems selected for the specific type of loss being addressed, not one-size-fits-all technology.

We deploy 3xLogic where retail loss intersects directly with transactions and internal behavior. Its analytics are purpose-built for loss prevention, tightly linking video to point-of-sale activity. This allows retailers to identify sweethearting, refund abuse, no-sale patterns, register skimming, and coordinated distraction events with precision. 3xLogic excels at surfacing transactional anomalies and repeat behaviors that are otherwise buried in daily operations, making it highly effective for internal theft and cashier-driven loss.

We deploy AV Costar where coverage, clarity, and investigative continuity matter most. High-resolution and multi-sensor cameras provide wide-area visibility across sales floors, entrances, and high-traffic zones commonly exploited by organized retail theft. Costar’s analytics support behavior-based detection such as loitering, line crossing, intrusion, and attribute-based search, enabling investigators to track subjects across time and locations using visual characteristics rather than timestamps. This makes it particularly effective for documenting external theft, organized retail crime, and repeat offenders.

Each platform is selected and deployed independently based on the loss profile of the site. The goal is not feature stacking, but precision. By matching the right analytics to the right risk, we remove anonymity, expose patterns, and produce defensible evidence without escalating risk on the sales floor.