Turn Existing CCTV Into Retail Intelligence
WiseVizer provides AI video analytics for retail. Measure footfall, occupancy, dwell time, demographics, heatmaps, and selected customer behavior patterns.
Sales reports show the outcome. WiseVizer shows what happens before it
Sales data shows what customers bought. However, it does not show how many people entered, where they spent time, or how they moved through the store. WiseVizer adds that context using AI video analytics from your existing CCTV.
Retail teams usually see:
- Sales
- Transactions
- Revenue
- Inventory movement
But they often miss:
- How many people entered
- When the store became crowded
- Which zones had the most traffic or dwell time
- How customers moved through the store before buying
Traffic â Demand
Occupancy â Store load
Dwell time â Interest
How WiseVizer works
WiseVizer connects to existing CCTV and can process video locally with edge AI. It converts store activity into retail metrics and sends those metrics to one dashboard, without requiring a new camera system.
How WiseVizer works
WiseVizer connects to existing CCTV and can process video locally with edge AI. It converts store activity into retail metrics and sends those metrics to one dashboard, without requiring a new camera system.
AI video analytics for retail from your existing cameras
WiseVizer uses AI video analytics to measure footfall, occupancy, dwell time, demographics, heatmaps, and zone activity from your existing camera feeds.
Traffic Counting & Traffic Analytics
Track store entries and compare visitor flow by hour, day, camera, or location. As a result, teams can identify peak periods and recurring traffic patterns.
Heatmaps & Zone Footfall
See which areas attract customer movement and which zones remain underused. Then compare movement patterns across the store to understand how the layout performs.
Visitors Age & Gender Analytics
Estimate visitor age and gender patterns across time, locations, and campaigns. For example, teams can compare how audience profiles change during different periods or promotions.
Occupancy & Peak Periods
Monitor store occupancy in real time and identify peak periods. As a result, this helps teams adjust staffing and understand when store load may affect the customer experience.
Staff Vs. Customer Analytics
Separate staff from visitors for cleaner traffic analytics. Track customer-only entries, staff presence, and how often employees enter or leave the store throughout the day.
Dwell Time Information
Measure how long customers remain in specific zones or areas. Compare dwell patterns across locations and time periods to understand where attention is sustained.
Find specific actions in
store video
With Human Action Recognition, WiseVizer turns CCTV footage into searchable action events. Teams can look for moments such as a person placing an item into a bag, staff assisting a shopper, or someone entering a restricted area. This helps teams find relevant moments faster without reviewing footage manually.
- Structured event records
- Live and historical review
- Configurable alerts
Behavioral AI
Custom Event Detection
Define store-specific events or conditions that matter to your operation. WiseVizer can surface relevant moments when those configured situations occur across your camera network.
Human Action Recognition
Analyze video sequences to understand how people interact with products, spaces, or others. HAR focuses on the action itself, adding behavioral context beyond isolated detections.
Additional capabilities
Queue Management
Monitor queue length and waiting patterns to identify busy periods and help teams respond before lines affect service.
Coming soon.
Gaze Attention
Analyze product or shelf attention to understand what customers look at.
Coming soon.
Forecasting
Use historical store data to anticipate visitor flow and support operational planning.
Ready.
Queue Management
Monitor queue length and waiting patterns to identify busy periods and help teams act before it affects service.
Coming soon.
Gaze Attention
Analyze product or shelf attention to understand what customers look at.
Coming soon.
Forecasting
Use historical store data to anticipate visitor flow and support operational planning.
Ready (with prerequisites).
Staff Detection
Separate staff from customers to keep visitor analytics cleaner. Because each store environment is different, staff detection requires model training for the specific location.
Gaze Attention
Analyze product or shelf attention to understand what customers look at. Coming soon.
Forecasting
Use historical store data to anticipate visitor flow and support operational planning. Coming soon.
Loss Prevention
Suspicious behavior detection for retail security workflows. Coming soon.
Measure what happens inside the store
With AI video analytics, WiseVizer converts camera activity into measurable metrics such as entry counts, occupancy, demographics, heatmaps, and zone activity. As a result, teams can compare those metrics across stores and time periods without reviewing footage manually.
- Entry counts
- Occupancy signals
- Age and gender estimates
- Heatmaps and zone activity
Compare live and historical store data
in one dashboard
View traffic, occupancy, demographics, and zone activity by location, camera, or time period. Then, compare stores and identify recurring patterns from the same dashboard.
Built for retail and technical teams
Built for retail and technical teams
Same camera infrastructure.
Different departments.
Designed for existing CCTV and edge processing
For standard retail analytics, WiseVizer can process video locally on edge hardware and send aggregated metrics to the dashboard. This reduces unnecessary cloud video transfer and avoids replacing existing cameras.
See what WiseVizer can measure in your stores
Book a demo to review your camera setup, the analytics available for your stores, and the deployment options.
Letâs Bring AI to Your Business
For inquiries, demos, or partnerships, reach out to us:
Business Bay Opal Tower, Office 101-03, Dubai, UAE