Enterprise Transformer
2025
AI's Choice
2025

Scalable Product Specification Pipeline for Switzerland's Largest Online Retailer

Digitec Galaxus AG

Bernhard Walser

Senior Machine Learning Engineer

Michael Hardegger

Lead Machine Learning Engineer

Digitec Galaxus replaced months of manual data clean-up with an AI engine that instantly enriches every product page. Shoppers now see up to 30 % more useful details across eight million items, filters work better, and updates flow in daily – at a fraction of the former cost, with experts still overseeing quality.
Jury Statement
Christoph Schnidrig
Head of Technology
@
Amazon Web Services

Digitec Galaxus has transformed how they manage product information by developing an AI system that makes product descriptions more complete, adding 30% more useful details across their catalog.



So, most likely this innovation affects virtually all of us – when you shop on Galaxus, it's now easier to find exactly what you're looking for among their 8 million products! And yes, there is some irony involved of having an Amazon employee saying this... But let's focus on their achievement - they won for three compelling reasons:



1. The results speak for themselves: they cut computing-costs by 500 times while handling 100,000 product updates daily with 95% accuracy.



2. Their smart step-by-step approach – evolving from standard GenAI model to a fine-tuned model perfectly matched to their needs - showcases how to systematically improve AI solutions.



3. They've created a scalable solution that maintains human oversight while managing 8 million products, proving that GenAI can be practically implemented at enterprise scale.



Congratulations on this great work!

Join us

Shape the future of GenAI in Switzerland and beyond

Join us for the next edition of GenAI Zürich to learn about latest developments in the field, network with like-minded professionals and gain deeper insights into GenAI applications reshaping both our professional and personal lives.