Why does personalizing the browse experience matter so much in fashion? Because most shoppers arrive to explore, not to search — and a storefront tuned to each shopper turns that exploration into sales. Lamoda, a leading Russian fashion platform, paired AI browsing personalization with strong growth.
The result: Lamoda’s AI-powered browsing personalization contributed to ~32% sales growth in 2024, with the platform reaching 169.5 billion rubles in clothing and accessories sales.
The browse is where fashion shoppers live#
Fashion shopping is inherently exploratory. Customers come to see what’s new, to get inspired, to assemble looks — not usually to find one specific SKU. If the storefront shows everyone the same generic grid, most of that exploratory traffic browses and leaves. The opportunity is to make the browse itself feel personal, so each shopper lands on a store tuned to their taste.
Lamoda’s browse AI personalizes the exploration experience — category feeds, recommendation rails, what’s surfaced first — to each shopper, helping convert browsing into purchases and contributing to ~32% sales growth.
How browse AI works#
Browse AI personalizes the exploration experience for shoppers who haven’t searched. It reads behavior and surfaces relevant, personalized products as the shopper explores.
Three mechanics drive the impact. The engine personalizes feeds, so each shopper sees products matched to their taste rather than a generic grid. It surfaces relevance contextually, tying suggestions to what the shopper is currently exploring. And it adapts continuously, keeping the browse current as inventory and trends shift — essential in fast-moving fashion.
Why personalized browsing converts exploratory traffic#
The shoppers who are “just browsing” are the largest and most under-served segment in most fashion stores. They don’t search, so search optimization never reaches them; and a static storefront gives them no reason to stay. Personalized browse AI meets them with a store that feels chosen for them, converting exploratory interest that would otherwise walk away. At scale, capturing even a slice of that traffic moves the revenue line meaningfully.
What this means for your store#
Any store with browsing traffic — especially in fashion or lifestyle — can apply this:
- Personalize category feeds and browse rails to each shopper’s taste, not a one-size-fits-all grid.
- Tie suggestions to what the shopper is currently exploring so they feel relevant.
- Keep the browse adaptive so it stays current as trends and stock change.
The shoppers who are just looking are your biggest untapped segment. Browse AI is how you convert them.
Bring browse AI to your store with CartAmplify#
CartAmplify brings personalized browse AI to any store — Shopify, dropshipping, or marketplace. A storefront that adapts to every shopper, turning exploration into sales.
Related reading#
- How Lamoda Grew Sales 32% with AI Search
- How Temu’s Gamified AI Browse Feed Powers European Growth
- How Adlibris Tripled Conversion with Browse AI
Sales figures cited from publicly reported Lamoda data; the ~32% growth aligns with reported 2024 turnover trends. Results vary by catalog, traffic, and implementation.
