For eCommerce managers, digital directors and product data owners that want to understand how AI-driven search is changing product discovery, and how to get their product data ready for it.  

One of Denmark's largest fashion shops runs a catalogue of hundreds of brands and thousands of new styles every season, with supplier data arriving in every format imaginable. By deploying AI agents to classify, enrich and quality-check every product, they turned catalogue work from a manual bottleneck into an automated pipeline that keeps pace with every new season and drop.

What  you can expect to takeaway:  
- Why AI-driven search and shopping assistants reward structured product data, and punish the rest 
-  A practical framework for enriching and maintaining product data at scale with AI agents 
- A live, real-world demonstration: how one of Denmark's largest fashion shops transformed their catalogue, step by step  

Level it's for: Manager/Head of/Director