Demand Forecasting for Pricing at Scale - Zalando’s Approach & Challenges
Join us for the upcoming round of our AI paper reading group as we dive into the latest advancements in the dynamic world of AI.
We are excited to have Mones Konstantin Raslan, Applied Scientist at Zalando, share his insights on leveraging accurate demand forecasts to drive informed business decisions. From inventory management to profitability and price steering, this talk explores the diverse domains where demand forecasts play a crucial role.
Zalando, one of Europe's largest fashion retailers, faces a unique challenge of dealing with a vast number of items, resulting in over 2 million time-series requiring regular forecasting. Discover how Zalando tackles this challenge using an attention-based production model used weekly for discount recommendations.
Register below to join us at the AI Campus, where you can connect with the thriving Berlin ML community, or join us virtually 🖥