Why is discovery the make-or-break layer for a marketplace? Because a marketplace’s value is its selection — but selection only matters if shoppers can find the right item among millions. Ozon, one of Russia’s largest marketplaces, used AI discovery to match buyers with sellers at scale, and grew explosively.
The result: Ozon’s AI-powered product discovery contributed to a 64% GMV surge in 2024, as the marketplace leveraged personalized recommendations to match sellers with buyers. Order frequency rose ~24% to over 26 orders per customer per year.
A marketplace is a matching problem#
Ozon hosts an enormous, ever-growing catalog from countless third-party sellers. That breadth is its strength — and its challenge. With millions of listings, the platform’s core job is matching: connecting each buyer with the specific products and sellers that fit them, fast. Get the matching right and shoppers find what they want and come back often; get it wrong and the catalog becomes an overwhelming maze.
Ozon’s discovery AI personalizes that matching, surfacing relevant products and sellers for each shopper. The payoff shows in both GMV (up 64%) and order frequency (up ~24% to 26+ orders per customer annually) — shoppers who reliably find what they want order more often.
How discovery AI works#
Discovery AI personalizes what each shopper sees based on behavior, especially when browsing rather than searching. On a marketplace, it matches buyers to the right products and sellers from a vast pool.
Three mechanics drive Ozon’s result. The engine personalizes matching, connecting each buyer with relevant products and sellers. It surfaces relevance from scale, making a million-item catalog feel navigable. And it drives frequency, because shoppers who consistently find what they want return more often.
Why frequency is the marketplace flywheel#
The order-frequency number is the one to watch. A 64% GMV surge is impressive, but the 24% rise in orders per customer reveals the engine underneath: discovery that works builds a habit. Each successful, relevant find makes the shopper more likely to come back, each return visit generates more behavioral data, and that data sharpens the matching further. Frequency compounds — and on a marketplace, it’s the flywheel that turns selection into sustained growth.
What this means for your store#
Whether you run a marketplace or a large single-brand catalog, the matching principle holds:
- Personalize discovery to match each shopper with the most relevant products quickly.
- Make a large catalog feel navigable so selection becomes an advantage, not a burden.
- Track order frequency — good discovery builds the habit that compounds into growth.
A big catalog is only an asset if shoppers can find their match. Discovery AI is the matching engine that makes it one.
Bring discovery AI to your store with CartAmplify#
CartAmplify brings marketplace-grade discovery AI to any store — Shopify, dropshipping, or marketplace. Personalized matching that makes your catalog navigable and turns selection into repeat orders.
Related reading#
- How Ozon’s AI Search Helped Drive a 64% Revenue Surge
- How Amazon’s AI Discovery Beats the Industry Average
- How Walmart’s AI Discovery Drove 25% Online Sales Growth
GMV and order-frequency figures cited from publicly reported Ozon 2024 results. Results vary by catalog, traffic, and implementation.
