Fighting in-store theft is a major challenge for retail chains, which are constantly looking to protect their products while delivering a flawless customer experience. According to the National Retail Federation (NRF), shoplifting incidents increased by 93% between 2019 and 2023, a figure that underlines the urgent need to modernize security systems. Two main categories of solutions are generally implemented: video surveillance systems and anti-theft systems. In this article, we explore these technologies, how they work, and how they can be optimized through innovations in artificial intelligence.
Conventional security cameras remain a cornerstone of security in retail. They make it possible to view and record incidents, often serving as an effective deterrent. However, their effectiveness depends largely on human vigilance, which can lead to errors or delayed responses.
AI-powered video analysis is revolutionizing this approach: AI detects in real time the at-risk gestures typical of shoplifting, reducing losses while freeing up time for security teams. To better understand these tools, read our article on at-risk gesture detection software and its role in fighting shrinkage.
In-store video protection: from conventional to artificial intelligence
Security cameras are the first line of defense against malicious acts. Installed at strategic points, they cover sensitive areas such as checkouts, high-value aisles, and exits. Their presence is a deterrent, and the recordings can serve as evidence. However, to be fully effective, they require someone to watch the screens at all times, which can represent a high cost for retail chains.
This is where AI-powered video analysis comes in. Rather than relying solely on the human eye, intelligent systems automatically identify at-risk gestures. For example, concealing items under clothing or opening a package can be detected and flagged in real time. Oxania notably offers an automatic progressive zoom with point of interest, allowing operators to directly view the essentials of a scene and save precious time on every alert.
By combining traditional recordings with intelligent analysis, retailers gain in responsiveness and efficiency, while respecting customer privacy thanks to precise configuration of the analysis systems. As the Loss Prevention Research Council (LPRC) points out, evidence-based approaches allow retail chains to better direct their loss prevention investments.
Anti-theft systems: tags, security gates and protective devices
Conventional anti-theft systems , which complement video protection, make it possible to take physical action against theft attempts. Adhesive or rigid anti-theft tags are attached to sensitive products. When a person tries to leave the store without deactivating the tag, an alarm is triggered automatically by the security gates installed at the exit. This simple but effective system is now widespread across all sectors, from ready-to-wear to DIY. To go further, discover our analysis of the strategic alliance between AI and security gates.
Among security gate technologies, there are three main categories: radio frequency (RF) gates, electromagnetic (EM) gates and acousto-magnetic (AM) gates. Each type has its advantages, depending on the nature of the protected products and the store layout. AM systems, for example, are particularly resistant to interference and well suited to high-traffic environments.
In addition, specific devices such as anti-theft badges and bottle locks are used to secure particularly exposed products. Bottle locks are very popular in the food sector to effectively protect the most stolen items in large-scale retail without harming their visual presentation.
Toward stronger loss prevention through innovation
The future of loss prevention lies in integrating smarter technologies, capable of combining physical devices with automated gesture analysis. According to a report by the World Economic Forum, artificial intelligence is already profoundly transforming consumer industries, notably by optimizing in-store operations and reducing shrinkage. Retail chains that adopt a proactive approach and invest in modern solutions are seeing a significant reduction in shoplifting.
Thanks to the intelligent analysis of at-risk gestures associated with shoplifting, security teams can focus on situations that are truly problematic rather than staring at screens for hours. This improves operational efficiency and reduces stress at work, while strengthening asset protection. Oxania also complements this approach with people counting and heatmaps features, offering a global view of in-store activity beyond detection alone.
Adopting solutions that combine intelligent video analysis and effective anti-theft systems is thus becoming an essential strategy for any retailer looking to combine security, a smooth customer experience, and increased profitability. The path to safer and more welcoming stores lies in intelligent innovation.
