Retail
Understand what happens between the entrance and the sale.
Your till tells you what sold. It does not tell you how many people walked in, where they slowed down, or how many left without being served. AI Data fills in the part of the day the receipt never sees.
The problem
What goes unmeasured
Revenue is measured, but traffic is guessed
Nobody knows how many customers left without buying
Staffing is set by habit, not by demand
Comparing two stores is an argument, not a report
With AI Data
What you can understand
- How many people come in, and when
- Which areas of the store hold attention
- Where customers wait and where they give up
- How traffic converts into takings
- Which products carry the margin
Measures for this industry
VisitorsConversionTime in storeArea trafficWaiting timeBasket valueProduct marginRevenue per hour
In practice
How it gets used
01Set staffing from the hours that actually carry traffic
02Find the display positions that earn their space
03Spot the checkout hours that lose customers
04Compare stores on the same measures
Outcome
What changes
Fewer lost customers at the counter
Staffing that follows demand
A shared, factual basis for store comparisons
Privacy
Intelligence without unnecessary intrusion.
- No facial recognition. AI Data does not identify individuals. No facial recognition, no biometric identity, no emotion, age or demographic inference.
- No audio recording. Audio is disabled by default. AI Data does not record or transcribe conversations.
- No cloud video retention by default. By default AI Data keeps operational measurements, not video. Retention is a setting you control.
Case studies
We do not publish customer results we cannot verify and do not have permission to share. When there are some, you will find them here.
Our evidence policySee AI Data for retail.
Tell us about your operation and we will prepare a walkthrough around the measures that matter to you.