Inventory Shrinkage: Anticipate Losses with the Right Key Performance Indicators

Security control room with operators monitoring surveillance cameras and a dashboard displaying alerts, events, and overall performance.
Security control room with operators monitoring surveillance cameras and a dashboard displaying alerts, events, and overall performance.

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Inventory shrinkage is a critical issue for retailers today, directly impacting their profitability and operational efficiency. With advancements in intelligent detection, stores now have precise and actionable data, transforming security into a genuine performance driver.

Among these solutions, Key Performance Indicators (KPIs) play a central role. They allow for detailed analysis of activity, detection of anomalies, and optimisation of resource allocation.

When used effectively, KPIs — such as the number of alerts per day, per hour, or per camera, global alert maps, heatmaps, and reaction times — provide a clear view of vulnerabilities and action levers to effectively reduce inventory shrinkage, while preserving the customer experience.


📈 Dynamic Alert Monitoring: By Day and By Hour

Monitoring the number of alerts generated each day and their hourly distribution provides security teams with a fine-grained understanding of the internal dynamics within the store. A peak in alerts at the end of the day or during certain time slots may signal increased vulnerability linked to reduced vigilance or higher footfall.

By analysing this data, managers can adjust their strategies: strengthen physical presence at critical times, optimise agent rotation, or reorganise teams to cover sensitive periods. Observation over several weeks also allows for the detection of recurring trends, anticipation of activity peaks, and planning of human resources accordingly.

Thus, the KPI of alerts per day and per hour becomes a genuine strategic tool, driving continuous improvement in the prevention of inventory shrinkage.


📷 Performance Analysis by Camera

Cameras play a crucial role in any surveillance system, but not all areas of a store present the same level of risk. This is where the analysis of suspicious gestures by Oxania comes in.

By identifying the cameras generating the most useful alerts, security managers can quickly pinpoint areas requiring priority surveillance. A camera showing a high number of alerts can signal a sector prone to theft attempts, an area of poor visibility for teams, or a flaw in the store's layout.

Conversely, a complete absence of alerts can also reveal a blind spot in the camera network coverage. Thanks to this analysis, managers can reposition certain equipment, add additional cameras, or reinforce human resources in strategic locations, while optimising existing investments.


🛒 Global Alert Map: Intelligent Overview

The global alert map is a real aid for in-store security management. By overlaying alert points on a detailed map of the establishment, managers have an immediate overview.

This visual representation allows for the identification of 'red zones' requiring increased vigilance, but also for understanding the dynamics of suspicious gestures associated with shoplifting. A concentration of alerts near an exit, a sensitive aisle, or an area of low visibility can lead to rethinking the store layout, repositioning staff, or adjusting certain procedures.

The global map also facilitates internal communication, making information clear, visual, and accessible to everyone. Thanks to this incident heat map, decisions become faster, more collaborative, and more effective, reducing shrinkage and enhancing the fluidity of daily operations.


🔥 Heatmap: Visualising Activity for Better Anticipation

The hotspot heatmap is a valuable tool for further refining the strategy to combat inventory shrinkage. It provides a visualisation of the areas where activity is most intense, based on movements detected by cameras and alerts generated.

This type of analysis allows for going beyond simply processing incidents to anticipating risks: for example, by noticing that an area is particularly frequented but poorly monitored, it becomes possible to strengthen human or technological presence there. Similarly, areas that are too isolated can be rethought with a new layout to limit opportunities for theft.

Utilising heatmaps thus contributes to building a safer, smoother, and more pleasant sales environment for customers, aligning business objectives with security requirements.


⏱️ Reaction Time and Team Rationalisation

The reaction time to alerts is a fundamental indicator for measuring the operational effectiveness of security teams. A short response time means not only better protection against incidents, but also a reassuring presence for customers and a general climate of security in the store.

By precisely tracking these times, it is possible to identify bottlenecks in the communication chain or deficiencies in task distribution. Furthermore, by analysing average reaction times, managers can rationalise agent deployment: avoid redundancies, better cover peak hours, and allocate resources more strategically.

This also allows for optimising costs without compromising the quality of the system, by investing where the need is real, while also boosting the motivation and involvement of field teams.


🚀 Oxania: A Trusted Ally for Intelligent Security

In this demanding environment, partnering with an innovative provider is more essential than ever. Thanks to its AI-based intelligent detection solutions, Oxania enables retailers to transform security management into a real driver of overall performance.

By leveraging clear, visual KPIs directly connected to operations, Oxania helps retailers prevent incidents, optimise their teams, and improve the customer experience. Our approach is part of a continuous improvement dynamic, with tools designed to be easy to use, while offering analytical depth.

By choosing Oxania, retailers strengthen their operational efficiency, limit inventory shrinkage, and lay the groundwork for sustainable and controlled growth.

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