Case study · E-commerce and retail
Personalized shopping experience for a US fashion retailer
A fast-growing US fashion and lifestyle retailer had plenty of traffic but a 2.1% conversion rate. We combined a recommendation engine with a simpler path from discovery to checkout.
Context
The client and the situation.
The client sells fashion and lifestyle products online in a crowded US market. Paid acquisition brought visitors to the site, but most of them browsed without buying.
Challenge
What was holding them back.
- Conversion was around 2.1%.
- Visitors struggled to find relevant products.
- Cart abandonment was high.
- Every shopper saw the same generic journey.
Approach
How we framed the problem.
We treated conversion and personalization as one problem rather than redesigning the interface alone. Behavioral data drives what each shopper sees, and every unnecessary step between interest and purchase was removed.
What we built
The product, module by module.
Recommendation engine
Real-time product suggestions from browsing, purchase history and similar shoppers, plus a personalized home page.
Conversion-focused UX
Simpler navigation and filters, intent-aware search and a checkout with 40% fewer steps.
Analytics dashboard
Revenue and funnel analysis from view to purchase, with A/B testing.
Mobile shopping app
Fast browsing, personalized feeds and a short checkout on iPhone.
Results
What changed.
Results reported for the project after launch.
Technology
Stack used.
- React
- Next.js
- React Native
- Node.js
- Python
- Collaborative filtering and behavioral ML
More work
Other case studies.
Education and EdTech
2×course completion rateAdaptive learning paths for a global online education platform
An online education platform had strong enrollment but only about 35% of learners finished their course. We built adaptive learning paths, a mobile app for short lessons and progress features that keep learners going.
Real estate
+38%lead conversion rateProperty discovery and lead conversion for a US real estate marketplace
A US marketplace connecting buyers, sellers and agents had plenty of traffic but few enquiries. We built personalized property discovery, AI valuation and a one-tap route to contact an agent.
Discuss a Similar Challenge
Tell us what you want to build or improve. We reply within 24 hours.