Discover the latest
ShopperTrak Analytics Insights
at Mapic Cannes 2025
November 4‑5 2025 | Palais des Festivales | Cannes | Hall R.7 Stand E2
Boost Mall and Shopping Centre Profitability Using Traffic Data
To keep pace with evolving shopper preferences, shopping centre owners and property managers need quality data to make quality decisions.
Today’s shoppers are looking for more than just retail—they want destinations where they can socialise, be entertained, and feel inspired. At the same time, operators are seeking a sustainable and profitable tenant mix that aligns with these new expectations.
That’s where the new generation of counting solutions powered by Re-ID technology comes in—offering more accurate, reliable, and actionable insights into shopper behaviour and movement patterns.
Meet us at this year’s MAPIC to discover how advanced data solutions can help you make informed decisions that meet shopper demands and drive property performance.
What you will see

Traffic Analytics
Understanding customer traffic to optimise store/ mall operations
Accurately measure and analyse retail traffic at entrances and internal locations throughout the property with real-time data to build a complete picture of customer behaviour.

Customer Journey
Maximising Shopper Experience
Leverage shopper traffic patterns and identify metrics such as hot spots, dwell time, draw rate, and abandonment rate throughout the property.

Key social demographic indicators
Understanding customer characteristics
Artificial Intelligence and Machine Learning models offer enhanced understanding of shoppers, focusing on gender, age, and mood.

Audience Analytics and Interactivity
Making sense of traffic data
Measure ad campaign performance on digital signage, using dwell and attention time KPIs to boost conversion and in-store sales.

NEW: Revolutionising People Counting in Retail with the New Re-ID Solution
Re-identification (Re-ID) technology harnesses artificial intelligence and machine learning to recognise individuals across multiple cameras by analysing features such as clothing, colours, accessories, and logos—without relying on facial recognition. This ensures GDPR compliance while delivering accurate movement analysis without requiring full spatial coverage. Even if a person temporarily leaves the camera’s field of view, the system re-identifies them upon return, avoiding duplicate counts.
The Innovation Experience
Take a self-guided tour through the Sensormatic Innovation Experience where you can walk through the latest solutions helping retailers power operational excellence at scale and enabling smart and connected shopper engagement. Start your journey now and let’s dive in more on the show floor!


Boost Mall and Shopping Centre Profitability Using Traffic Data
Traditional anchor stores are leaving, shoppers are visiting less, and changing economics are causing malls to close. However, many malls are being reinvented into destinations that offer exceptional experiences outside of just shopping. Learn about innovative approaches to increase traffic in our free brochure Sensormatic Shopping Centre Brochure.
Retail Consulting Practice
Sensormatic Solutions' global team of retail experts can design a solution that is just right for your operation, remotely monitor your system for outages or problems, provide ongoing system repair and maintenance, and provide a range of professional services and analytics. We’re committed to helping you to get valuable insights from your loss prevention, inventory and traffic investments. Our retail heritage and global footprint provide expert partnership every step of the way.

Want To Connect?
Need more information, want to schedule a meeting, or receive a free entry ticket?
Contact us directly at: emea.retail.events@jci.com
If you are a current customer: Contact your account manager
Request a Demo or Meeting at the Show: Fill out the form and let’s talk through the challenges top of mind for you and your organisation in 2026 and beyond.
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Visit Hall R.7 – Stand E2
We're looking forward to meeting you at the Show.