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UID:pretalx-pyconde-pydata-2025-NNGWGC@pretalx.com
DTSTART;TZID=CET:20250423T161000
DTEND;TZID=CET:20250423T164000
DESCRIPTION:Ever craved your favorite dish\, only to find its key ingredien
 t missing from the store? You're not alone - stock outs can have significa
 nt consequences for businesses\, resulting in frustrated customers and los
 t sales. On the other hand\, overstocking can lead to wasted storage costs
  and potential write-offs. The replenishment system is responsible for str
 iking the right balance between these opposing risks.\nThe key to successf
 ul replenishment is making accurate predictions about future demand. \n\nT
 his presentation takes a deep dive into the intricate world of demand fore
 casting\, at Europe's largest retailer. We will demonstrate how enhancing 
 simple machine learning methods with domain knowledge allows to generate h
 undreds of millions of high-quality forecasts every day.
DTSTAMP:20260411T172948Z
LOCATION:Zeiss Plenary (Spectrum)
SUMMARY:Mastering Demand Forecasting: Lessons from Europe's Largest Retaile
 r - Moreno Schlageter\, Yovli Duvshani
URL:https://pretalx.com/pyconde-pydata-2025/talk/NNGWGC/
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