AI camera data showing what happens at the checkout
LiveFlow analyses video from cameras above the checkout area and turns it into clear data on queues, waiting time, customer service and checkout occupancy — all in one dashboard for HQ and operations teams.
Chains know queues are a problem — but often not when, where and why they form.
In many stores, decisions about checkout staffing, service standards and work organisation still rely on observation, one-off reports or manual review of recordings. LiveFlow structures this process and delivers measurable data from AI cameras.
No data on real waiting time
Short queues don't always mean fast service. LiveFlow shows how long customers actually wait.
Hard to compare stores
HQ needs shared metrics to evaluate locations against the same criteria.
Manual video review is inefficient
CCTV shows the picture but doesn't automatically produce metrics, trends and reports.
No fast response to overloads
Data on checkout occupancy and queue length helps identify peak moments faster.
How it works LiveFlow?
From camera image to data for HQ.
AI camera above the checkout
The camera observes a selected area at the checkout and feeds video to AI analysis.
Zones and measurement logic
We define rectangular measurement zones: checkout area, queue and entrance zone.
AI analysis
The system detects people, counts the queue, measures waiting time and analyses zone activity.
LiveFlow dashboard
Interactive view — switch the range, hover over bars and rows.
What data does LiveFlow?
The system focuses on AI camera data. Click a metric to see details, or filter by area.
What does a retail chain?
For which venues?
LiveFlow works wherever queue length, waiting time and service efficiency shape customer experience and operational effectiveness.
Start with a POC in a single location
LiveFlow can be tested on a single checkout zone, without building a large project on day one.
Location selection
Together we pick a store and a checkout area to analyse.
Data analytics, not manual video watching
LiveFlow focuses on turning AI camera video into operational data. The system's goal is to analyse queues, waiting time and zone activity — not to manually observe customers.
Data processing scope and security requirements are agreed with the client during deployment.
See what really happens at your checkouts in your chain
Book a LiveFlow POC and see how AI camera data can help analyse queues, waiting time and checkout area work.
Let's talk about POC
Leave your details — we'll tailor the pilot scope to your chain, store formats and peak hours.
