Shoplifting Detection AI

Flag concealment, missed scans at self-checkout, shelf sweeps, and push-outs, with a clip for every event.

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Person scanning items at a self-checkout, with AI overlays identifying groceries in the cart and at the scanner.

Shoplifting Detection AI for the Toughest Grocery, Pharmacy, Big-Box, and Convenience Store Shrink Problems

Deploy Anywhere, Run Everywhere
Run shoplifting detection on the aisle, self-checkout, high-value case, and exit cameras you already have, on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every asset protection team can adopt, from investigators and AP managers to store and district leaders, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, with no facial recognition and role-based access to every clip.

Talk to a Vision AI engineer who's shipped in retail.

Bring us your toughest shoplifting and shrink problem and we'll map a working solution.

Ask us about:

Solution architecture that fits your store cameras, POS, and asset protection program, with retention and access rules for state privacy laws
A live demo on your own aisle, self-checkout, or exit camera footage
Deployment options: edge in the store, on-prem, air-gapped, VPC, or on the cameras and network your stores already run
ROI modeling against shrink, self-checkout loss, investigation hours, and the cost of adding guards and locked cases

Over 80,000 organizations build with Roboflow.

Rivian
Pella
Chobani
USG Corporation
BNSF Railway
American Woodmark

Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

Automotive customer
$10 million
Saved by automatically detecting defects on the production line
Logistics & freight company
90%
Less time spent manually tracking shipping inventory
Building materials supplier
60%
Lower customer return rate with improved product quality

Protect Every Aisle, from the High-Value Case to the Exit Door

Add a real-time loss prevention layer to every store camera with Roboflow vision AI for shoplifting detection. Built for grocery, pharmacy, big-box, and convenience stores where shrink comes from a few aisles, the self-checkout area, and the exit, and where investigators spend hours scrubbing footage to find a single event.

Aisles, cases, and fixtures:

Detect an item moved from the shelf into a bag, a jacket, or a stroller instead of the cart or basket, with a model trained on your own aisle footage.
Flag shelf sweeps, when many units leave a facing at once, using the same cameras that run shelf monitoring.
Watch locked cases and high-value fixtures for forced doors and tampering, and find discarded packaging, spider wraps, and security tags left in aisles and fitting rooms.

Self-checkout and registers:

Detect an item moved past the scanner into the bagging area with no matching scan in the POS log, and alert the self-checkout attendant while the shopper is still at the station.
Spot items left in the bottom of the cart or basket at checkout, and a lower-priced item scanned in place of a different product.
Run queue management on the same cameras to keep attendants where the checkout traffic is.

Exits and investigations:

Flag push-outs, a loaded cart passing the last register and heading for the door, and alert staff at the exit.
Log every event with a clip, still frames, camera, zone, and timestamp, so an investigation starts from an indexed list of events instead of hours of footage.
Trend events by store, aisle, and hour to place staff and fixtures, and extend the same platform to the distribution center with warehouse theft and loss prevention.

Bring intelligence to every store camera today. Catch concealment, missed scans, and push-outs while the shopper is still in the store.

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Frequently asked questions

What is shoplifting detection with Vision AI?

Shoplifting detection with Vision AI uses the aisle, self-checkout, case, and exit cameras a store already runs and a trained computer vision model (opens in a new tab) to flag events that matter to asset protection: items moved into bags or clothing, missed scans at self-checkout, shelf sweeps, case tampering, and push-outs. Every event is logged with a clip, camera, zone, and timestamp. It runs alongside planogram compliance and shelf monitoring on the same cameras.

How does it avoid flagging normal shoppers?

The model is trained on your own store footage and tracks objects, zones, and events, such as an item moving from a shelf zone to a bag, rather than judging people. Zone and time rules filter out normal handling, and every alert goes to trained staff, who review the clip before anyone acts.

What about shopper privacy?

The system does not use facial recognition or biometric identification. Retention periods for clips and stills are set per store, and access to the event record is role-based with an audit trail. Roboflow serves as the detection engine, and your asset protection, legal, and store operations teams own the event definitions, the retention policy, and every decision that follows an event.

Can it integrate with our POS, video, and case management systems?

Yes. Roboflow reads the RTSP streams your store cameras already produce, joins self-checkout events to POS transaction data, and sends events, clips, and stills over REST (opens in a new tab), MQTT, or webhooks to your video, case management, and staff alerting tools. Models run on edge hardware in the store, on-prem, or in your VPC.

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Shoplifting Detection AI