Industry
Every store, every collection, measured like a channel.
Online, you know exactly what converts. In stores, most fashion chains are still guessing. Vitrac counts every visitor, tracks real conversion, and shows which stores and campaigns are actually working.
3,000+ stores · 200+ brands · 10 countries
[01] — Why it matters
What fashion & apparel chains need to know.
Traffic and conversion, store by store
A quiet mall week and a slow store are not the same problem. See traffic and conversion side by side for every location, so you know which stores need attention and which are just having a quiet week.
Campaigns you can actually prove
A window display or a collection launch either brings people in or it does not. Compare footfall before and after, and know which campaigns are worth repeating.
Staffing that matches the floor
Peak hours and weekend crowds need more hands on the floor. See when traffic actually rises by store and schedule staff against real numbers, not habit.
[02] — Platform
Built for fashion & apparel.
The features retail chains in this vertical use most.
Visitor counting, up to 99% accurate
Know exactly how many people walk in. Staff excluded automatically.
Sales conversion tracking
See how many visitors actually buy. Works with your POS or a simple sales upload.
Campaign impact
Prove which campaigns brought real store traffic, and which changed nothing.
Market benchmarking
See if you are winning or just busy. Compare traffic and conversion against the market.
Staff scheduling by traffic
Put your people where the visitors are.
Group and family detection
A family of four counts as one buying group, not four visitors.
[03] — Proof
Retail teams in fashion & apparel that run on Vitrac.
“When we started measuring real conversions, it became clear where the problem was, traffic or sales staff. Sales KPIs are now based on conversion, and it has already driven sales growth.”
[04] — Questions
A few things chain owners ask.
Can Vitrac tell us if a slow week is our store or the whole market?
Yes. Market benchmarking compares your traffic and conversion against other stores in the network, so you can tell a quiet market from a store-specific problem.
Does it count a family shopping together as one visitor or four?
Group and family detection counts a group shopping together as one buying group, not one visitor per person. Your conversion numbers reflect real shopping behavior.
How fast can we roll this out across our stores?
We install our own AI cameras in about a week per store. There is no IT project on your side, and pilots at a few stores before a full rollout are normal.
Ready to measure every store like your best store?
Book a demo. We will show Vitrac live on real store data.
30 minutes · live data · no slides