Matt Marshall

At MODEX 2026 in Atlanta, Scott Luton sat down with Dr. Stephanie Thomas, Associate Professor of Practice at the University of Arkansas and Founder & Executive Director of WISE, for a wide-ranging conversation about supply chain talent, AI, and the future of workforce development. One thing becomes immediately clear from the discussion: while technology may dominate the headlines, the future of supply chain still depends on people. Of course, that makes the ability for organizations to more effectively engage the new generations entering the workforce all that more critical.   The Industry’s Biggest Question Mark: AI and Talent When asked about the biggest priorities facing supply chain leaders today, Thomas doesn’t hesitate: AI is at the top of nearly every conversation. “Everybody’s trying to unpack what is it going to do? How is it going to change things?” she explains. Organizations are wrestling not only with how to adopt emerging technologies, but also with how to prepare their workforce for the transformation ahead. From upskilling current employees to redesigning workflows, the talent implications of AI are massive. At the same time, the broader business environment remains highly dynamic. Geopolitical shifts, ongoing disruption, and rapid technological change are forcing organizations to…

Supply chains are more volatile and interconnected than ever, but many planning processes still rely on disconnected systems, manual analysis, and spreadsheet-based interventions. This white paper explores how network optimization, supported by advances in optimization technology, workflow design, cloud computing, and AI, can help planning teams evaluate cross-functional trade-offs, respond faster to change, and move from static plans to continuous, decision-driven supply chain planning. Inside the White Paper: – Why traditional planning systems and network optimization evolved separately, and why that separation limits decision quality in today’s supply chains. – How network optimization helps evaluate cross-functional trade-offs across sourcing, production, inventory, transportation, fulfillment, service, cost, and capacity. – Why continuous network optimization is different from one-time strategic modeling, and how it can support recurring tactical and operational planning decisions. – How AI and configurable workflows can make optimization more usable for planners without requiring them to become modeling experts. – How planning systems and network optimization can work together in a feedback loop that improves decisions over time. Click here to download