Some days push a store to its limits. Black Friday is the perfect example: massive spikes in footfall, instantly visible queues and saturated access points.
This is exactly when retail traffic counter systems demonstrate their full value. Supported by accurate sensors and actionable analytics, they become strategic tools to enhance customer experience, optimise resources and anticipate peak periods.
Understanding what truly happens inside a store goes far beyond sales figures. Real performance now depends on how smoothly people move, how they distribute across spaces and how efficiently each area is used.
The ultimate objective ? Satisfying customers.
This is why Acorel provides automatic people-counting and mall visitor analytics solutions tailored to public spaces, helping retailers anticipate peak times and implement finely tuned flow-management strategies.
People counting in retail : an essential tool for every store
Retail traffic counter systems measure, in real time, how many people enter, exit and circulate inside a space. These insights allow stores to analyse flows and optimise space management.
A crucial tool to understand in-store behaviour :
- When do visitors actually arrive ?
- Which areas attract them first ?
- Where does congestion happen ?
- How should staff be allocated to match demand ?
- How can queues be reduced ?
Thanks to mall visitor analytics, data replaces guesswork. Retailers gain a clear view of their performance and can identify continuous optimisation opportunities.
Acorel’s static sensors designed for public and retail environments
Acorel sensors are specifically developed to support retail traffic counter needs in public and commercial environments such as stores, shopping centres, museums, leisure venues and smart buildings.
- Anonymous, GDPR-compliant counting
Sensors detect silhouettes from above only, without capturing identifiable images. No facial recognition and no personal data.
- High accuracy even during peak periods
Light variations, dense crowds or long queues do not affect accuracy.
- Simple installation in all configurations
Entrances, shopping galleries, queue lines, event zones, escalators and elevators sensors adapt to all layouts.
For an optimised installation, our teams provide tailored recommendations. Request a detailed assessment via our contact page : contact us.
Software suite : Vision pop
The Vision platform provides real-time occupancy monitoring and detailed historical data, empowering retailers through mall visitor analytics. It helps anticipate traffic peaks, plan staffing and manage safety thresholds.
But data only matters when it is clear and actionable. That is why Vision pop transforms retail traffic counter systems into an intuitive, operational dashboard.
Concrete benefits for stores and shopping centres
Request a personalised demo here : Click here.
Intelligent occupancy management for retail or shopping centres
Beyond peak days, retail traffic counter systems support intelligent occupancy management in commercial environments. Acorel offers complete safety-threshold and occupancy-management solutions for all public venues.
Do you want to:
- Identify peak times throughout the day ?
- Understand how visitors distribute across multiple entrances through mall visitor analytics ?
- Reassure visitors with transparent occupancy levels ?
- Analyse whether opening hours truly match visitor habits ?
- Measure the impact of promotions ?
- Optimise resources using precise, reliable data ?
You can explore our full solution on the dedicated product page : contact us.
People counting in retail has become essential to understand flows, optimise staffing and improve customer experience. During critical moments such as Black Friday, retail traffic counter systems help anticipate surges, reduce queues and secure high-traffic zones.
Acorel’s static sensors anonymous and GDPR-compliant measure footfall in real time, trigger alerts and integrate smoothly into any retail environment.
With Vision POP, retailers gain a full mall visitor analytics platform to visualise live flows, track hot and cold zones, compare history and forecast upcoming peaks.