RetailHeatmap™
Provides in-depth customer engagement analytics within the zone of interest of a store, to have a better understanding of the user behaviour, and identify the most and least visited areas.

Engagement Store Comparison
Utilising 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 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


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
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.

Heatmap Analytics
Combining CCTV cameras with Centroid™ will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store.

Product Engagement Analytics
Utilising Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.