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# From Keywords to Style Agents: Zalando’s AI Commerce Playbook

**[Netguru](https://daily.dev/sources/netguru)** · 6 min read · 1 upvotes · 0 comments

## Summary

Zalando's Head of Product Ania Szostek outlines how the company is moving from keyword-based search to conversational style agents powered by LLMs. The approach translates natural language fashion intent (e.g., 'outfit for a trip to Peru') into catalog-executable product constraints like material, color, and silhouette. Key challenges include measuring subjective 'taste,' connecting LLM reasoning to live inventory via RAG, managing latency, and avoiding over-surfacing AI features. Szostek also argues that Product Managers must become T-shaped builders capable of prototyping and owning evaluations alongside engineering and UX teams.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.netguru.com/blog/zalando-ai-style-agents-commerce-playbook>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ecommerce](https://daily.dev/tags/ecommerce), [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/from-keywords-to-style-agents-zalando-s-ai-commerce-playbook-kshrn7dpm)

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