Discovery AI

How Zalando's AI Discovery Cut Returns and Grew Revenue

Zalando's AI product discovery contributed ~20% of incremental revenue while improving relevance and reducing returns up to 7%.

3 min read
Zalando — Discovery AI case study cover for the CartAmplify blog

Why is discovery AI uniquely able to grow revenue and improve satisfaction at the same time? Because surfacing more relevant products both sells more and helps shoppers choose better — and better choices come back less often. Zalando, Europe’s largest online fashion platform, saw both effects together.

The result: Zalando’s AI-powered product discovery contributed to around 20% of incremental revenue growth, with improved relevance increasing customer satisfaction and reducing returns by up to 7%.

Relevance grows revenue and satisfaction together#

The common assumption is that selling more and keeping customers happy are separate goals. Discovery AI collapses that distinction. When Zalando’s engine surfaces more relevant products, shoppers find what they want (revenue up), feel understood (satisfaction up), and choose items that genuinely fit (returns down). One improvement — better relevance — moves all three.

That’s why discovery contributed meaningfully to incremental revenue and reduced returns 7%: it’s the same relevance, viewed from different angles.

How discovery AI works#

Discovery AI personalizes what each shopper sees based on behavior, surfacing relevant products as they explore.

Three mechanics drive Zalando’s result. The engine personalizes discovery, surfacing products matched to each shopper’s taste and fit signals. It improves choice quality, helping shoppers select items they’ll be satisfied with. And it reduces returns, because better-matched purchases come back less often.

Why returns reduction is the hidden value#

The 7% returns reduction is the quietly valuable half of the story. In fashion, returns are a structural cost that erodes the margin conversion creates — a sale that comes back can wipe out its own profit. Discovery AI that optimizes for genuine fit, not just clicks, steers shoppers toward products they keep, protecting margin even as it grows revenue. A discovery engine tuned only for engagement could increase returns; Zalando’s tuned for relevance reduces them. That dual benefit is what makes good discovery so valuable.

What this means for your store#

Any store shipping physical goods can capture both effects:

  • Personalize discovery for genuine relevance, not just clicks.
  • Help shoppers choose well so they buy items they keep, reducing returns.
  • Measure revenue and returns — good discovery improves both.

Selling more and keeping customers happy aren’t separate goals. Relevant discovery achieves both.

Bring discovery AI to your store with CartAmplify#

CartAmplify brings relevance-focused discovery AI to any store — Shopify, dropshipping, or marketplace. Discovery that grows revenue and reduces returns together, the way Zalando did.

Try CartAmplify free →


Figures cited from publicly reported Zalando results. Results vary by catalog, traffic, and implementation.

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