How DTC Brands Are Using AI to Forecast Demand Better Than Ever

In this episode of The Ecommerce Hour, Lucas and Luna dive into how direct-to-consumer brands are leveraging artificial intelligence for demand forecasting. They explore a specific case: how a mid-sized DTC skincare brand reduced stockouts by 40% and cut excess inventory by 25% using a machine learning model that factors in weather, social sentiment, and historical sales. Lucas explains the shift from spreadsheet-based planning to AI-driven systems, breaking down common pitfalls like over-reliance on historical data and the importance of feature engineering. Luna challenges him on whether smaller brands can afford these tools, leading to a discussion of off-the-shelf solutions from Shopify, AWS, and startups like Lokad and Foresight. The episode closes with a look ahead to how generative AI might reshape inventory planning — maybe even producing purchase orders automatically. A practical, numbers-heavy episode for anyone running an online store. #DTC #DemandForecasting #AI #Ecommerce #InventoryManagement #MachineLearning #Skincare #Shopify #AWS #Lokad #Foresight #SupplyChain #Stockouts #ExcessInventory #Business #FexingoBusiness #BusinessPodcast #DataDriven Keep every episode free: buymeacoffee.com/fexingo