Why are the smartest retailers growing basket size without raising prices or pushing harder? Because they’ve made the browsing experience itself do the selling. Decathlon, the global sporting-goods retailer, used AI-powered browsing to surface the right gear at the right moment — and watched average order value climb.
The result: Decathlon’s AI-powered browsing experience boosted average order value by 40% by surfacing contextually relevant sports equipment and accessories during product exploration.
The browse moment is a missed opportunity for most stores#
Most of a store’s traffic is just browsing — exploring, not yet committed. For the typical retailer, that browse session is passive: the shopper looks at one product, maybe two, and leaves. The store does nothing to connect what they’re viewing to what would complete the purchase. In sporting goods, that’s a costly miss, because almost every product implies others: running shoes imply socks and a hydration belt, a tent implies a sleeping bag and a mat.
Decathlon turned the browse into an active, contextual experience. As shoppers explore, the AI surfaces the equipment and accessories that genuinely complement what they’re looking at — not random “popular items,” but the things that complete the kit for their activity.
How browse AI works#
Browse AI personalizes the exploration experience — product pages, category feeds, related rails — for shoppers who haven’t searched for anything specific. It reads context in real time and assembles relevant suggestions around whatever the shopper is currently viewing.
Three mechanics drive the AOV lift. The engine reads browsing context, understanding not just the product on screen but the activity and intent behind it. It surfaces complementary equipment contextually, so accessories appear as helpful completions rather than interruptions. And it personalizes to the shopper, weighting suggestions by their inferred interests and behavior so the recommendations feel chosen, not generic.
Why contextual browsing grows the basket#
A 40% AOV lift from browsing alone is significant because it costs nothing extra in traffic — it’s pure value extracted from visitors already on the site. The mechanism is relevance and timing: when a shopper viewing a bike sees the lock, lights, and helmet that complete the setup, adding them feels like good sense, not upsell pressure. The store is helping the shopper finish the job they came to do.
This is the strategic edge of browse AI. Search captures shoppers who already know what they want; browse AI works on everyone else, and it turns a passive look into a fuller basket by anticipating the next thing the shopper needs.
What this means for your store#
You don’t need Decathlon’s range to apply this. Any store whose products pair naturally with others can use browse AI to lift AOV:
- Surface complementary products contextually as shoppers browse, not just at checkout.
- Personalize those suggestions to each shopper’s inferred intent so they feel relevant.
- Frame accessories as completions of the job the shopper came to do, and basket size grows on its own.
The browse session is where most stores do nothing. Make it work, and average order value rises without a single extra visitor.
Bring browse AI to your store with CartAmplify#
CartAmplify brings the same AI-powered browsing that lifted Decathlon’s AOV 40% to any store — Shopify, dropshipping, or marketplace. Contextual, personalized suggestions that turn browsing into bigger baskets.
Related reading#
- How Decathlon Lifted RPU 224% with AI Search
- How Decathlon Lifted Conversion 2.5x with AI Discovery
- How Flipkart Personalizes Browsing for 400 Million Shoppers
Figures cited from publicly reported Decathlon AI case studies. Results vary by catalog, traffic, and implementation.
