In a context of rapidly changing consumer habits, shopping centers find themselves at a crossroads. The need to modernize and diversify becomes imperative to remain competitive. However, without the right tools to anticipate risks and changes, these infrastructures suffer operating losses and struggle to remain attractive to consumers.

Faced with these major challenges, a solution is emerging: the integration of artificial intelligence and computer vision into existing infrastructures. This technology not only optimizes operational efficiency, but also enhances the customer experience, resulting in greater customer satisfaction.

What's the use of computer vision in retail?

• In stores:

Flow management is becoming a priority to deliver a smooth, pleasant customer experience. Thanks to computer vision, shopping centers can analyze people flows in real time, anticipate busy periods and adjust their resources accordingly. This not only optimizes customer flow, but also improves safety and reduces waiting times.

The customer experience is also a key concern. By using computer vision to analyze consumer behavior, stores can personalize their offer, make relevant recommendations and optimize their merchandising to meet the specific needs of each customer.

Maintaining cleanliness is a constant challenge for retail players. Nobody likes shopping in a dirty space! Thanks to visual data analysis, managers can detect high-traffic areas and efficiently deploy their cleaning staff to guarantee a clean environment at all times.

• In parking lots:

Managing parking spaces is a major challenge for many shopping centers. Thanks to computer vision, managers can monitor parking occupancy in real time, identify areas of congestion and efficiently guide customers to available spaces, reducing the frustration associated with a lack of parking spaces.

Traffic control is also essential to ensure smooth traffic flow in parking lots. By using cameras, shopping centers can monitor the flow of vehicles, detect traffic incidents and take preventive measures to avoid bottlenecks and accidents.

• For logistics and storage areas:

In warehouses and storage areas, inventory management is a crucial issue. Thanks to computer vision, managers can monitor stock levels in real time, detect shortages and surpluses, and thus optimize inventory management to meet demand and minimize losses.

Using intelligent video systems, managers can ensure employee safety by identifying the correct wearing of PPE, lone workers or even falls and discomfort.

Asset security is also crucial, and the new solutions can identify intrusions at any time and send alerts to the security HQ.

Artificial intelligence and computer vision represent a veritable revolution for shopping centers. By optimizing operational efficiency and enhancing the customer experience, these technologies enable shopping centers to reinvent themselves and remain attractive in an ever-changing environment.