The conversation around AI in supply chain planning has focused on one thing: forecast accuracy. But it doesn’t really work and what if we've been measuring the wrong outcome?

In this episode I am joined by Yuqing Qu ("Joyce"), Data Scientist who leads machine learning and advanced analytics initiatives supporting supply chain optimization and enterprise decision intelligence. Together, we explore why the next evolution of AI in S&OP is moving beyond isolated forecasting models toward connected, end-to-end decision systems that integrate demand, supply, inventory, logistics, and business strategy.

Yuqing also shares her unique perspective as a young data scientist on why supply chain is sexy and one of the most exciting career opportunities for the next generation. If you're a student, early-career professional, or simply curious about combining AI, analytics, and business, she offers practical advice on the skills and mindset needed to succeed.

Whether you're a demand planner, supply planner, S&OP leader, data scientist, or executive, this conversation will challenge the way you think about AI and where it's taking our profession.

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