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Prevent shoplifting with AI: How AIn-Guard supports your team
How can AI help prevent shoplifting? AIn-Guard analyses compatible camera streams and helps retail teams review unusual situations while they are still unfolding.
Want to protect your stock and give your team more time for customers? Finding the right security solution starts with a practical question: how can staff spot situations that deserve a closer look?
This is where AIn-Guard comes in: its AI analyses live video streams from compatible existing cameras and sends a short video clip to authorised staff when it detects unusual movement patterns. This helps the team review a situation while it is still unfolding. How AIn-Guard's AI shoplifting detection works.
Why shoplifting calls for targeted prevention
According to the EHI Retail Institute, customer theft caused stock losses of around €3.05 billion in German retail in 2025. The figure shows why theft prevention matters to retailers financially. Source: EHI study 2026.
In a shop, the challenge is practical: a queue forms at the till, shelves need restocking, and another customer is waiting for advice. How can security fit into that working day?
How can AI help prevent shoplifting?
AIn-Guard flags movements that may indicate unusual behaviour or possible concealment. Authorised staff receive the relevant clip and assess the context. An alert is not proof of theft. The decision stays with a person.
For a closer look at how AI analyses movement in camera footage and the research informing our development, read The technology behind AIn-Guard.
What makes AIn-Guard useful for retailers
Connect existing cameras
AIn-Guard is designed to work with existing CCTV systems. Whether a connection is possible is assessed using camera access, video streams and the conditions at each site.
Give staff relevant information
Short video clips provide context for an alert. The system supports human review and does not make automated enforcement decisions.
Control access
Role-based permissions and defined retention periods support controlled handling of alerts. AIn-Guard does not use facial recognition or biometric identification. AI shoplifting detection with existing cameras.
AI shoplifting prevention: planning your first steps
To explore a possible deployment, start by choosing a specific area of your shop. Decide who will review alerts and which internal steps should follow.
During a trial, focus on three questions:
- Are the alerts useful to your team?
- How much time does each review take?
- Does the process also work during busy periods?
Record false alerts and staff feedback as well. This helps you assess the practical contribution the technology makes in your shop.
Explore AIn-Guard for your shop
AIn-Guard is currently being tested at selected locations in Austria and Germany. You can request a demo and a review of your camera system through the website.
Want to find out how AI could support your theft prevention? Bring your questions and a typical situation from your shop.
