In the retail sector, fighting losses caused by shoplifting is a strategic priority. According to a study conducted by the National Retail Federation in partnership with the Loss Prevention Research Council, in-store theft incidents rose by 93% between 2019 and 2023, pushing retail chains to invest heavily in innovative solutions. Among the most promising advances: video analysis software capable of detecting at-risk gestures associated with theft in real time.

A new perspective on in-store loss prevention

Traditionally, theft prevention relies on security guards, cameras that merely record, and anti-theft tags. But these measures are no longer enough in the face of increasingly ingenious theft methods and the continuous rise in shoplifting.

Gesture detection software analyzes video feeds in real time and identifies gestures associated with shoplifting : concealing an item under clothing, products hidden in a stroller, a backpack, a handbag, or even the opening of packaging.

These systems based on artificial intelligence mark a fundamental shift toward a proactive approach to loss prevention. Security teams or managers are alerted within seconds, considerably reducing reaction time and increasing the overall effectiveness of the fight against shrinkage.

How do you integrate at-risk gesture detection software?

At-risk gesture detection solutions such as Oxania are designed to integrate easily with existing cameras. To ensure optimal effectiveness, they are deployed in collaboration with specialized integrators whose role is decisive in the success of the project. These experts make sure that the cameras are strategically positioned to cover the store's most sensitive areas and ensure reliable analysis.

Once the cameras are correctly installed, the system adds a layer of intelligence that analyzes video feeds in real time. It adapts to the specifics of each point of sale (type of store, high-risk areas, peak traffic periods) and sends alerts in under 10 seconds thanks to automated AI processing, with no human intervention. The intuitive interface, accessible on phone, tablet or PC, includes an automatic progressive zoom centered on the point of interest, allowing teams to immediately see what matters and to react quickly and effectively.

The measurable benefits of AI video analysis for retail chains

  • Significant reduction in theft : a notable decrease observed within the first months after the system is deployed.
  • Time savings for security teams, thanks to intelligent and precise analysis that strengthens collaboration between AI and security guards.
  • Improved customer experience : fewer unnecessary interventions and a calmer in-store atmosphere thanks to video evidence.
  • Resource optimization : assigning teams to higher-value tasks.

Thanks to these technologies, security becomes a performance lever, and no longer just a cost center.

Artificial intelligence at the service of retail security

Adopting an at-risk gesture detection solution means choosing proactive, effective and non-intrusive security. Retail chains that take this path do not just reduce their losses: they send a signal of professionalism and modernity to their customers and their teams.

Oxania, an innovative player in this field, supports retail chains in this transformation with modular, human-centered solutions. Because preventing theft also means preserving the quality of the in-store experience.