Shoplifting has been on the rise. This phenomenon is causing particular concern among retail professionals, especially in the food, DIY, and pharmacy sectors. So, how can retailers deal with this trend while preserving the customer experience?
🔎 Better Understanding New Forms of Theft
Shoplifting is no longer just the act of isolated individuals. Today, there is:
- Organized group theft,
- Discreet and quick behavior,
- Strategies adapted to the blind spots of traditional cameras.
These new methods make detection more difficult and require smarter surveillance tools .
🤖 Technology Supporting Security
To counter this trend, many stores are turning to artificial intelligence. Behavioral detection systems now make it possible to:
- Identify suspicious gestures in real time,
- Alert staff before a theft is carried out,
- Reduce pressure on security guards by automating surveillance.
Solutions like Oxania , a specialist in AI-assisted suspicious gesture detection, offer an innovative approach: they complement existing systems without burdening the customer environment. AI detects suspicious gestures with high accuracy, without facial analysis or infringing on privacy .
🏢 Maintaining a Positive Customer Experience
Security should not compromise customer welcome or comfort. Modern solutions make it possible to combine protection and peace of mind in the store. By identifying suspicious behavior rather than individuals, AI-based systems minimize unnecessary interventions and errors in judgment.
✅ A Winning Strategy for Retailers
Implementing intelligent detection technology allows you to:
- Reduce losses due to theft,
- Optimize in-store human resources ,
- Reassure staff and customers ,
- Strengthen the image of a modern and responsible business.
🚀 Conclusion: Innovate to Better Protect
In the face of increasing shoplifting, technological innovation is proving to be an essential lever. By relying on artificial intelligence, retailers can not only protect their revenue , but also provide a safer and smoother shopping experience.
