Fashion & clothing
Follow the journey from interest to purchase.
In fashion the distance between picking something up and paying for it is where the margin is won or lost. AI Data measures that stretch of the store instead of leaving it to instinct.
The problem
What goes unmeasured
Fitting rooms are a blind spot in every report
A missing size looks like a lack of demand
Displays are judged by opinion, not performance
Interest is never counted, only purchases
With AI Data
What you can understand
- How the fitting-room journey runs
- Which sizes and variants are actually available
- Which displays hold attention
- How interest turns into a purchase
Measures for this industry
VisitorsFitting-room activityVariant availabilityDisplay performanceConversionBasket valueProduct marginWaiting time
In practice
How it gets used
01Staff the fitting rooms at the hours that convert
02Reorder on availability, not just on sales
03Test a display change and measure the result
04Compare stores on the same journey
Outcome
What changes
Fewer sales lost to a missing size
Merchandising judged on results
Interest counted, not just receipts
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We do not publish customer results we cannot verify and do not have permission to share.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 fashion & clothing.
Tell us about your operation and we will prepare a walkthrough around the measures that matter to you.