Retail outlet · Customer counter
Customer footfall, gender and dwell-time analytics
Retail dwell-time analytics uses computer vision on store cameras to count customers entering a zone, classify gender and measure how long each person stays. Graeon Netra runs this on existing store CCTV, turning footage into footfall and customer-mix reports.
Real footage with Graeon Netra running on it. Client names are removed.
What you're seeing
A zone in front of the counter counts every customer who enters, classifies gender and measures how long each person stays.
Feeds into Graeon ERP: Store analytics and outlet reports
What it changes
- Footfall and peak hours per outlet
- Average and maximum dwell time
- Customer mix by gender
Frequently asked questions
Does it need new cameras?
No. Graeon Netra runs on the plant's existing CCTV. The clip on this page shows Netra on real plant footage.
Where does the data go?
Into Graeon ERP and HRMS modules, kept in step with Tally or Oracle through ready connectors; other systems are connected through our API as a project. Alerts also reach the Netra mobile app, email and SMS.
Built on
Run this on your own cameras
Book a demo and we'll map dwell time analytics to your plant's existing CCTV.