Understand how customers use your store space
Use WiseVizer for store layout optimization with zone activity, heatmaps, dwell time, and movement data from your existing CCTV. See which areas attract attention, where customers stay, and how they move through the store.
Zone analytics for store layout optimization
WiseVizer shows how customers interact with different areas of your store. Instead of only looking at sales results, retail teams can see where activity is concentrated, how occupancy changes across zones, and which spaces may need layout, merchandising, or staffing adjustments.
Hereâs what it delivers:
- Real-time occupancy insights showing how many people are present in specific zones.
- Zone-based activity data to compare busy and underused areas.
- Dwell time analytics to understand how long customers remain in each zone.
Zone activity tracking
Every section of your store is monitored with precision, giving you a live picture of activity levels and current occupancy. Youâll know how many people are in the store, which areas attract the most visitors, and how this shifts across the day.
Movement path visibility
Visualize how customers move through different areas and identify the most used paths. Place high-margin or promotional products in the most visited zones to improve visibility and sales impact.
Layout and merchandising testing
Compare zone activity before and after changes in layout, displays, or promotions. Spot peak and quiet hours to adjust staffing, and use the reports to improve daily operations, marketing, or seasonal planning
Heatmaps and Trajectories Made Practical
Real-Time Zone Analytics
Our system builds heatmaps directly from camera feeds, updating continuously to show how people spread across the store. These visual maps highlight activity in specific areas, making it easy to spot hotspots, low-traffic zones, and changes in movement as they happen. Over time, this helps identify peak and off-peak hours, informing decisions around staffing, cleaning schedules, and daily operations.
Live and Historical Comparisons
Review traffic patterns as they happen or analyze past data to identify long-term trends. Zone comparisons can be combined with other features such as gaze detection to understand not just where customers go, but also what products they notice most.
On-Device Processing
Video analytics can be processed locally on the edge, reducing unnecessary cloud transfer while keeping aggregated retail insights available for reporting and analysis.
Zone Footfall for Smarter Store Layouts
WiseVizer shows how customers interact with different areas of your store. Instead of only looking at sales results, retail teams can see where activity is concentrated, how occupancy changes across zones, and which spaces may need layout, merchandising, or staffing adjustments.
Hereâs what it delivers:
- Real-time occupancy insights showing how many people are present in specific zones.
- Zone-based activity data to compare busy and underused areas.
- Dwell time analytics to understand how long people stay in each zone.
Zone activity tracking
Every section of your store is monitored with precision, giving you a live picture of activity levels. Youâll know which areas attract the most visitors at any given time and how this shifts across the day.
Movement path visibility
Visualize how customers move through different areas and identify the most used paths. Place high-margin or promotional products in the most visited zones to improve visibility and sales impact.
Layout and merchandising testing
Compare zone activity before and after changes in layout, displays, or promotions. Spot peak and quiet hours to adjust staffing, and use the reports to improve daily operations, marketing, or seasonal planning.
Heatmaps and Trajectories Made Practical
Real-Time Zone Analytics
Our system builds heatmaps directly from camera feeds, updating continuously to show how people spread across the store. These visual maps highlight activity in specific areas, making it easy to spot hotspots, low-traffic zones, and changes in movement as they happen. Over time, this helps identify peak and off-peak hours, informing decisions around staffing, cleaning schedules, and daily operations.
Live and Historical Comparisons
Review traffic patterns as they happen or analyze past data to identify long-term trends. Zone comparisons can be combined with other features such as gaze detection to understand not just where customers go, but also what products they notice most.
On-Device Processing
All processing is done locally, so data remains inside your store without relying on external servers.
What store layout optimization helps you improve
Store layout optimization becomes easier when teams can compare zone activity, heatmaps, dwell time, and movement patterns across different areas of the store.
Product placement
Identify high-attention areas and place key products where customers are more likely to notice them.
Layout planning
Understand which routes customers naturally follow and adjust the store layout to support better movement.
Underused space
Spot areas with low activity and test changes in signage, displays, or product categories to increase engagement.
Use movement data to improve layouts,
displays, and store planning
Letâs Bring AI to Your Business
For inquiries, demos, or partnerships, reach out to us:
Business Bay Opal Tower, Office 101-03, Dubai, UAE