Key Features
Engagement Store Comparison
Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.
Product-level Engagement Analytics by Skeleton Tracking
- To identify the market response to each of the product.
- To measure the sales conversion in product level.
Avoid Sales Opportunities with Empty Shelf/Rack Detection
- Staffs can carry out the quick replenishment of stock based on automated alerts received.
- Reallocate the staff to focus on other priority tasks instead of focusing on stock level monitoring.
Heatmap - Analyse Customer Behaviour within the Store
Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store. Heatmap data can be combined with sales data to obtain the correlation between the customer engagement in a zone and the conversion of sales.
- Reuse existing CCTVs, reduce project cost
- Identify “Hot” or “Cold” zones
- Measure Product Level Engagement
- Create more effective localised plans and marketing strategies to better align with your customer
Watch Heatmap Video
Visualise Customer’s In-Store Shopping Journey
Using path counting to visualise the traffic flow of visitors to determine which pathways are often used to plan placements of advertisement displays and digital signages while traffic heatmap provides in-depth view into how engaged shoppers are to determine the effectiveness of those displays and signages.
- Reuse existing CCTVs, reduce project cost
- Identify “Hot” or “Cold” zones
- Measure Product Level Engagement
- Create more effective localised plans and marketing strategies to better align with your customer
Heatmap Dashboard
Allow user to draw multiple area polygon at Heatmap Dashboard to obtain heatmap analytics for area of interest, to measure engagement in each zone at different time of the day, or different time of the year.
- Area Utilisation Rate
- No. of Engaged Customers
- Dwell Time of Engaged Customers
- No. of Passer-bys
Do You Have a Bid?
Whether your industry is retail, shopping mall, office, library, museum, transportation or any other, we are eager to participate in your bids and collaborate with a partner to provide the best solution for your business needs.
Invite Us to Your BidKey Features
AI Video Analytics
AI image processing technology is a key development in our people counting technology to ensure all counters across different locations can reach 99.5% accuracy.
Watch How it Works
Heatmap Analytics
Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store.
- Store traffic profile
- Sales conversion optimiser
- Determine the success rate of a marketing campaign
- Measure store performance based on data-driven KPI
Product Engagement Analytics
Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.
Watch How it Works
System Design
Other System DesignsSmall Format Stores
Medium Format Stores
Full Coverage System
Small Format Stores
People Counting at Store Entrance and Area Counting
People Counting at Store Entrance and Area Counting
Uses:
- Measuring the number of visitors enter the store
- Comparing sales data with footfall data or purchasing group
- Measuring customer engagement within an area of interest
- Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment used:
- 1x Pro2 for entrance counting
- 1x Pro2 for in-store shopper journey
Metrics:
- Visitor Count (In/Out)
- Visitor Count (Kids/Adult)
- Outside Traffic
- Turn in Rate
- Dwell Time
- Returning Customer
- Live Occupancy Count
- Sales Conversion
- Group Count
- Heatmap & Customer Engagement
- Zone Analytics
Medium Format Stores
Medium-format Stores
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas within the areas of interest.
Uses:
- Measuring the number of visitors enter the store
- Comparing sales data with footfall data or purchasing group
- Measuring customer engagement across multiple areas of interest
- Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment used:
- 1x Pro2 for entrance counting
- 1x Pro2 for point-of-sale display engagement tracker
- 2x Pro2 for in-store shopper journey (depending on the number of area of interest)
Metrics:
- Visitor Count (In/Out)
- Visitor Count (Kids/Adult)
- Outside Traffic
- Turn in Rate
- Dwell Time
- Returning Customer
- Live Occupancy Count
- Sales Conversion
- Group Count
- Heatmap & Customer Engagement
- Zone Analytics
Full Coverage System
Full Coverage System
Provides full coverage of the entire floor space to track the customer in-store journey within the store in all areas.
Uses:
- Measuring the number of visitors enter the store
- Comparing sales data with footfall data or purchasing group
- Measuring customer engagement across multiple areas of interest
- Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment used:
- 1x Pro2 for entrance counting
- 1x Pro2 for point-of-sale display engagement tracker
- 6x Pro2 for in-store shopper journey (depending on the number of area of interest)
Metrics:
- Visitor Count (In/Out)
- Visitor Count (Kids/Adult)
- Outside Traffic
- Turn in Rate
- Dwell Time
- Returning Customer
- Live Occupancy Count
- Sales Conversion
- Group Count
- Heatmap & Customer Engagement
- Zone Analytics
