Argu AI gives loss prevention retail teams a way to catch concealment the moment it happens, not weeks later in a stock count.
This is shoplifting detection built around timing. Most retail video analytics notice a problem only once inventory does not match the shelf, days or weeks after anyone could act on it. Here, the concealment itself, an item going into a bag or under a jacket, raises a flag with a confidence score before the person reaches the door, while there is still someone to approach and a moment that still matters. Loss prevention teams read concealment events next to footfall in their retail video analytics.
Most retail shrink is discovered the same way: a stock count comes up short weeks after the fact, with no footage worth reviewing and no person left to identify. Loss prevention retail teams built around that gap can only react, not intervene. Argu instead watches the moment itself. When someone conceals an item, in a bag, a pocket, inside a jacket, before leaving the aisle, the behavior is flagged with a confidence score while there is still a person and a location to respond to.
Concealment Behavior Detection
The act of hiding an item in a bag, pocket, or jacket is flagged as it happens, with a confidence score attached to the moment.
Confidence Scored Alerts
Each flagged event carries a score, so a loss prevention team can prioritize what to review first instead of treating every alert the same.
Unauthorized Property Damage Detection
Deliberate damage to merchandise or fixtures is flagged in addition to concealment, using the same continuous camera coverage.
Retail Video Analytics Across Every Camera
Every connected camera in the store is covered at once, not just the doors or the highest value aisle.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.
Catches the Act, Not the Aftermath
Concealment is flagged the moment it happens, not weeks later when a stock count comes up short with no footage worth reviewing.
Built for Loss Prevention Retail Teams
Alerts are scored by confidence so a small team can prioritize the events most likely to matter.
No Pre Labeled Detector List
Shoplifting and property damage are described in plain language rather than picked from a fixed menu of pre trained behaviors.
Works on Existing Store Cameras
RTSP, IP camera, and NVR compatibility means the store does not add new hardware to get retail video analytics running.
Timing Is the Whole Advantage
A flag raised while someone is still in the aisle is worth more than a shortfall discovered in next month's count.
Confidence Scoring Cuts Noise
A scored alert lets a lean team decide what to look at first instead of reviewing every motion on every camera.
No New Sensors at the Door
The system runs on RTSP, IP camera, and NVR feeds already installed, so store layout and existing infrastructure stay the same.
On Premise Option
Video can stay on premise for retailers who do not want footage leaving the building.
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