AI Search

How Wildberries Grew Turnover 60% with AI Search

Wildberries grew turnover 60% to over 4 trillion rubles in 2024, with AI search and recommendations central to its scale.

3 min read
Wildberries (Russia) — AI Search case study cover for the CartAmplify blog

Why do the marketplaces growing fastest keep investing in search and discovery even at massive scale? Because at marketplace size, search is the storefront, and small improvements compound into staggering numbers. Wildberries, Russia’s largest online retailer, is a striking example.

The result: Wildberries’ turnover exceeded 4 trillion rubles in 2024 — up roughly 60% year-over-year — with AI-powered search and recommendation central to connecting shoppers to products. Net profit grew around 3.5x to ~104 billion rubles in the same period.

Search is the storefront at marketplace scale#

A marketplace like Wildberries carries an almost unfathomable range of products across every category. For shoppers, that breadth is only valuable if they can find the right item quickly. Search and recommendation become the primary navigation — the difference between a shopper who finds what they want in seconds and one who gives up. At four trillion rubles of turnover, even a fractional improvement in how reliably search converts is worth an enormous absolute sum.

That’s why Wildberries pairs its logistics and selection with AI-driven discovery: the catalog only pays off if the matching engine is good enough to surface the right product for each shopper.

How AI search works#

AI search interprets intent instead of matching keywords. It understands natural language, tolerates typos and varied phrasing, and ranks results by relevance and likelihood to convert — then pairs with recommendations so even vague queries resolve into useful suggestions.

At marketplace scale, three capabilities matter most. Semantic understanding maps messy real-world queries to the right products across a vast catalog. Personalized ranking orders results around each shopper’s behavior, so the most relevant items lead. And recommendation integration turns browsing and zero-result queries into curated discovery, keeping shoppers moving toward a purchase.

Why scale multiplies the value#

The lesson from Wildberries isn’t the raw growth figure — it’s the leverage. When you operate at scale, the search and discovery layer touches every transaction, so improving it lifts the entire business at once. A better-ranked result, a recovered zero-result query, a more relevant recommendation: each is tiny on its own, but multiplied across billions of sessions, it moves turnover by percentage points worth billions.

This is why high-growth marketplaces treat discovery as core infrastructure, not a feature. It’s the layer with the most leverage on revenue, because it sits between every shopper and every product.

What this means for your store#

You don’t need marketplace scale for the principle to hold — the discovery layer touches every sale in your store too:

  • Use semantic AI search so shoppers find products even when their words don’t match your catalog.
  • Personalize result ranking so the most relevant items lead for each shopper.
  • Pair search with recommendations so no query — vague, misspelled, or zero-result — ends in a dead end.

Search and discovery sit between every visitor and every purchase. Improving that layer is the highest-leverage move available.

Bring AI search to your store with CartAmplify#

CartAmplify brings marketplace-grade AI search and recommendations to any store — Shopify, dropshipping, or marketplace. Semantic search and personalized discovery that connect every shopper to the right product.

Try CartAmplify free →


Turnover and profit figures cited from publicly reported Wildberries 2024 results. Results vary by catalog, traffic, and implementation.

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