Let’s get you started!
Ready to know more about how Froomle can boost your business in as little as 40 days? Our team of experts is here to help!
Zalando is one of Europe’s leading online platform for fashion, connecting customers, brands, and partners across 17 markets. They drive digital solutions for fashion, logistics, advertising, and research, bringing head-to-toe fashion to more than 35 million active customers through diverse skill-sets, interests, and languages. Zalando’s shops attract more than 420 million visits per month.
Zalando's platform is a one-stop fashion destination for inspiration, innovation, and interaction. As Europe’s most fashionable tech company, they work hard to find digital solutions for every aspect of the fashion journey: customers, partners, and every valuable player in the Zalando story.
Zeno Gantner is the guest of this episode. As the Principal Applied Scientist at Zalando, he shares fascinating insights about how to implement personalization and Zalando’s recommender systems, always present across their platforms.
Some of the topics you’ll learn in this episode are:
> How Zalando personalizes its homepage;
> How to choose the right metrics and KPI’s to measure success;
> How to detect buyer’s patterns;
> Presenting new items vs. showing what the users want to see;
> The difference between fashion recommendations and other platforms such as Youtube;
> An advice Zeno would give to his younger self when starting with personalization.
Zeno Gantner is the Principal Research Engineer/Applied Scientist for the Fashion Recommendations department at Zalando. He studied computer science at the University of Freiburg and received his Ph.D. under the title of "Supervised Machine Learning Methods for Item Recommendation.”
Zeno has many years of experience implementing, running, and improving ML-based production services for millions of users. Also, he published cutting-edge research on diverse AI topics such as applied machine learning, knowledge representation, reasoning, and recommender systems. He collaborates with engineers, product managers, applied scientists, analysts, and managers to bring personalization-based customer experiences at Zalando to the next level.
Please accept marketing cookies to view this form.