Streamline shrinkage in your stores with real-time detection of suspicious gestures linked to shoplifting

Store employee monitoring a thief using a tablet, with security camera and loss reduction graph.
Store employee monitoring a thief using a tablet, with security camera and loss reduction graph.

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🔍 A new era for loss prevention thanks to AI-powered anti-shoplifting technology

Loss prevention is a central issue for retail chain managers, especially in the grocery, hardware or pharmacy sectors. As shopping behaviours evolve and shrinkage increases, traditional security solutions are showing their limits. This is where suspicious gesture detection technology comes into play, using AI-based video analysis as an innovative lever that transforms loss prevention into a proactive, intelligent process. By analysing at-risk behaviours in real time using dedicated servers and AI algorithms, this solution detects anomalies.

This anti-shoplifting technology does more than catch proven theft: it identifies ambiguous or recurring gestures linked to shoplifting. This lets security teams intervene more effectively, without disrupting the customer shopping experience. By targeting the situations that matter, detection optimises staffing and reduces losses.

For decision-makers, it means tighter control of shrinkage and a return on investment thanks to automation. This technology delivers both economic performance and operational efficiency.


📊 Streamlining internal processes and data-driven decision making

Beyond security, suspicious gesture detection contributes to an overall streamlining of operations. With ongoing data collection, smart solutions like those from Oxania provide unprecedented visibility into in-store dynamics. Managers can identify sensitive zones, adjust customer flows, redeploy teams and improve shelf layouts to reduce opportunities for theft.

This not only strengthens loss prevention, but also helps optimise staffing costs and fine-tune merchandising strategies. Decision-makers get practical tools to make informed decisions based on real data, not assumptions. Technology becomes a true asset in the daily management of stores.

This data-driven approach also enables the creation of more relevant security KPIs and tracking their progress over time, ensuring agile and adaptable prevention strategies.


🤝 A better customer experience thanks to discreet and effective security

One of the main strengths of intelligent detection solutions is their discretion. Unlike intrusive methods such as searches or constant monitoring by visible guards, gesture analysis technology operates in the background. It strengthens security without harming the atmosphere on the shop floor.

For retail chains that focus on customer loyalty, this is a major competitive advantage. By protecting assets without compromising the shopping experience, the solution avoids tensions and inconvenience for customers, while maintaining ongoing vigilance against suspicious behaviours.

In short, security becomes an invisible yet essential part of the customer journey, supporting your brand image and contributing to a calm atmosphere.


🚀 Oxania: a strategic partner for retail decision-makers

Managers leading store networks know that it's no longer enough to react – you have to anticipate. By integrating a solution like Oxania's, they equip themselves with a strategic tool that can evolve their loss management model to deliver more precision, agility and intelligence.

Oxania combines technological expertise in computer vision with a thorough understanding of the challenges facing retail, delivering a tailored solution for the complex environments of supermarkets, pharmacies and hardware stores. Easily integrated into existing systems, this technology adapts to each retailer’s needs while guaranteeing measurable results.

With Oxania, anti-shoplifting technology becomes a true accelerator of operational performance – a valuable asset to streamline resources, boost customer satisfaction and secure revenue for the long term.

Let’s make a difference together