Recommendation AI

How Wildberries Pairs Recommendation AI with Logistics

Wildberries targets strong revenue growth in 2025, with AI recommendations and logistics optimization driving the platform.

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

Why do the fastest-growing marketplaces invest in recommendations and logistics together? Because a great recommendation is worthless if the product can’t be delivered fast and cheap — and fast delivery is wasted if shoppers can’t find what they want. Wildberries, Russia’s largest retailer, scales both in tandem.

The result: Wildberries is targeting strong revenue growth in 2025 (a reported ~44% increase), with AI recommendations and logistics optimization driving the platform — building on 2024 turnover that exceeded 4 trillion rubles, up ~60%.

Recommendations and logistics reinforce each other#

A marketplace runs on two engines: discovery (helping shoppers find what they want) and fulfillment (getting it to them quickly and affordably). Wildberries invests heavily in both because they reinforce each other. Recommendations drive demand; logistics make fulfilling that demand profitable and fast, which in turn makes shoppers more willing to buy on recommendation. Neither pays off fully without the other.

Building on explosive 2024 growth, Wildberries continues to pair AI-driven recommendations with logistics optimization to fuel its targeted growth.

How recommendation AI works#

Recommendation AI predicts what each shopper wants from their behavior and surfaces it across the experience.

Three mechanics drive the impact. The engine personalizes to each shopper, surfacing relevant products from a vast catalog. It drives demand and frequency, getting shoppers to discover and buy more. And it works with fulfillment, so recommended products can actually be delivered fast and affordably — closing the loop.

Why the discovery-fulfillment loop matters#

The strategic lesson is that discovery and fulfillment are a system, not separate functions. A recommendation that surfaces a perfect product fails if delivery is slow or expensive; great logistics are wasted if shoppers never find the product. Wildberries’ growth comes from optimizing the whole loop — recommendations that drive demand for products its logistics can fulfill efficiently. The two compound: better discovery increases volume, which justifies logistics investment, which improves delivery, which makes shoppers buy more on recommendation.

What this means for your store#

Even at a smaller scale, the loop applies:

  • Personalize recommendations to drive demand for products you can fulfill well.
  • Connect discovery to fulfillment realities — surface what you can deliver fast and affordably.
  • Treat discovery and delivery as one system, because each amplifies the other.

Recommendations and fulfillment reinforce each other. The stores that optimize the whole loop grow fastest.

Bring recommendation AI to your store with CartAmplify#

CartAmplify brings personalized recommendation AI to any store — Shopify, dropshipping, or marketplace. Drive demand for the products you can deliver best, the way Wildberries pairs discovery with logistics.

Try CartAmplify free →


Revenue figures and targets cited from publicly reported Wildberries data. Results vary by catalog, traffic, and implementation.

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