Shrinkage: Anticipate Losses with the Right Key Performance Indicators

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

Table of Contents

Shrinkage today represents a critical challenge for retailers, directly affecting their profitability and operational efficiency. With advancements in intelligent detection, stores now have precise and actionable data, transforming security into a true performance lever.

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

When used effectively, KPIs — such as the number of alerts per day, per hour, or per camera, global alert plans, heatmaps, and reaction times — offer a clear vision of vulnerabilities and action levers to effectively reduce unknown 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 detailed understanding of internal store dynamics. A peak in alerts at the end of the day or during certain time slots can signal increased vulnerability related to reduced vigilance or higher foot traffic.

By analyzing this data, managers can adjust their strategies: reinforce physical presence at critical times, optimize agent rotation, or reorganize 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 true strategic tool, driving continuous improvement in the prevention of unknown 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 priority areas to monitor. A camera showing a high number of alerts can signal a sector prone to theft attempts, an area with poor visibility for teams, or a flaw in the store layout.

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


🛒 Global Alert Plan: An Intelligent Overview

The global alert plan is a real aid for in-store security management. By superimposing alert points on a detailed map of the establishment, managers get 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 a low-visibility area can lead to a review of the store layout, repositioning of staff, or adjustment of certain procedures.

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


🔥 Heatmap: Visualize Activity to Better Anticipate

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

This type of analysis allows going beyond simple incident processing to anticipate risks: for example, by noting that an area is particularly frequented but poorly monitored, it becomes possible to reinforce human or technological presence there. Similarly, overly isolated areas can be rethought with a new layout to limit opportunities for theft.

The use of heatmaps thus contributes to building a safer, smoother, and more pleasant sales environment for customers, aligning commercial objectives with security requirements.


⏱️ Reaction Time and Team Rationalization

The reaction time to alerts is a fundamental indicator for measuring the operational effectiveness of security teams. A short response time not only means 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 analyzing average reaction times, managers can rationalize agent distribution: avoid redundancies, better cover peak hours, and allocate resources more strategically.

This also allows for cost optimization without harming the quality of the system, by investing where the need is real, while strengthening the motivation and involvement of field teams.


🚀 Oxania: A Trusted Ally for Intelligent Security

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

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

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

Together, let's make a difference