Galeries Lafayette x Feed Enrich: AI at the service of an efficient product feed

+10%

PrinTouts

+15%

Clicks

-5%

CPC

Scaling the optimization of product flows, without losing control

Chez Galeries Lafayette, product flow management is a daily challenge: a constantly changing catalog, thousands of brands, and specific needs depending on the universe (fashion, beauty, home...).

In an e-commerce where each attribute can make a difference, flow is no longer a simple technical issue. It is a strategic driver of performance — and a field where theartificial intelligence can really make a difference.

This case tells the story of how Galeries Lafayette started a process ofindustrialization of product optimization :

by structuring a complex flow on a large scale
by adapting the enhancements to each typology
by precisely measuring what impacts (or not) impacts Shopping performance

📄 Concrete feedback, without magic promises, for those looking to take back control of their flow — without overloading their teams or sacrificing scalability.

👉 Download the full case study

This proves that AI applied to e-commerce isn't just a promise, but a real competitive advantage.

Ready to transform your product feed for better Shopping ads performance? Discover how Feed Enrich can automate your catalog optimization while improving campaign ROI.

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Emmanuel Guillo

Head of e-Business

Product data enrichment enables us to send stronger signals to Google, ensuring better alignment between the ad display and the user query. CTR optimization? That's exactly what happened. And the moment you improve CTR, it mechanically drive CPC down as well. It's a double win. ROAS is also up, so we're. We've seen almost a 10% drop in CPC, which is no small thing when you're spending several million euros a year.

All these optimized product highlights also make us much more relevant for response engines or Google tomorrow. Why stick with average content on the product page when you can have something much more impactful with Feed Enrich?

We started small — 5,000 SKUs, then 50,000 — and now we've scaled to the entire catalog