Footfall heatmaps
See peak hours, dwell zones and queue build-up inside the store. Where do customers pause? The answer changes your floorplan.
Footfall
+27%
Return visits
+18%
Dead stock
-22%
Fashion retail analytics UK
What if you could predict next month’s bestselling dress from today’s footfall? With Harris Vision, you can visualise in-store traffic, basket size, loyalty and online clicks in one clear dashboard.
Identify high-value shoppers and style preferences quickly.
Match weather, events and social buzz to sales shifts.
Spot slow movers early and reduce dead stock.
Your boutique’s intelligence hub
We build customer behaviour dashboards that turn daily trade into practical decisions. The result is simpler merchandising, sharper campaigns and less guesswork on the shop floor.
See peak hours, dwell zones and queue build-up inside the store. Where do customers pause? The answer changes your floorplan.
Separate new visitors, returning regulars, high spenders and discount hunters so every message lands better.
Understand which items are bought together. That’s the kind of pairing that lifts basket value without shouting about it.
Track which campaigns drive visits, emails and conversions. Which offer actually brought people through the door?
Flag slow-selling colours and sizes before they clog cash flow. We help you order smarter, not harder.
Size run gaps
Visible in one glance
Seasonal risk
Caught early
Markdown timing
More precise
Tailored insights for every boutique
Independent clothing stores can see which silhouettes move in each branch, then tune stock to the postcode rather than to instinct. Isn’t that a cleaner way to trade?
For shoe boutiques, we connect fitting-room behaviour to sales so you can tell whether the issue is fit, price or the display itself.
Accessory shops benefit from knowing which browsing paths and bundle combinations turn casual interest into a quick add-on sale.
Vintage retailers can spot new demand patterns before the wider market catches up, helping you price, promote and source with confidence.
35%
Repeat sales lift
20%
Bigger basket size
18%
Average repeat visits
Case study
Marketing spend was bringing attention, but not enough footfall. The team needed to know which customers actually came back. Who was worth nurturing?
We linked email activity to store visits, then built personalised offers for the strongest segments. The owner could finally see what worked, day by day.
“I didn’t realise we were ignoring our most loyal shoppers.”
What changed
Loved by UK fashion independents
“Our window displays are now shaped by real data, and the difference is obvious. We stop guessing about mannequins and start learning from actual behaviour.”
Olivia H., Boutique Owner
“We stopped stocking what we liked and started stocking what sells.”
James P., Menswear Retailer
“Why did we choose Harris Vision? Because the dashboard made our customer patterns readable in a single morning.”
Ruoran Babaei, Store Director
Fashion retail analytics FAQ
Not necessarily. We can work with Wi‑Fi signals, POS data and other anonymised inputs, depending on what’s already available in your store.
Yes. Your dashboards can connect to CRM and loyalty records so you can compare first-time browsers with your best regulars.
Absolutely. We design every build around anonymisation, encryption and sensible access controls, so the insights stay useful and the data stays protected.
Give your boutique the AI edge
Book a demo tailored to your store type. We’re London-based, and we can visit on site when the layout or stock story needs a closer look.