Conventional wisdom used for planning and optimizing inventory is no longer sufficient in the face of unprecedented uncertainty and volatility. As data science methods (e.g., AI, GenAI, machine learning) evolve, supply chains must not haphazardly create AI initiatives that lack focus or don’t address the crux of their inventory planning challenges. Through experimental design, companies such as Border States can identify opportunities for applying AI to make higher-quality decisions that impact inventory. Attendees will hear how the distributor dramatically improved its lead time prediction using AI and ML, improving service and making its supply chain less susceptible to the ramifications of uncertainty and variability.