Katheryn Basso

At the 2025 Gartner Supply Chain Planning Summit in Denver, Scott Luton caught up with Justin Siefert, a familiar face in the supply chain community and a leader at John Galt Solutions, a global provider of end-to-end supply chain planning software. From demand and supply planning to inventory and S&OP, John Galt supports organizations across industries with the holistic capabilities needed to thrive in an increasingly unpredictable landscape.   A Company Investing in the Next Generation Before diving into industry trends, Siefert shared an update on one of the programs that sets John Galt apart: its supply chain scholarship program, which awards $10,000 to students pursuing supply chain degrees. This year’s cycle brought in a record number of nominations, with new winners set to be announced in January. It’s an initiative Siefert is proud of—and one that reflects John Galt’s belief in cultivating tomorrow’s leaders.   Old Problems, New Pressures: Planning in a World of Uncertainty When asked about the biggest challenges facing planners today, Siefert didn’t hesitate: uncertainty. While the forms of disruption change—pandemics, geopolitical shifts, demand shocks, evolving portfolios—the underlying challenge remains the same. Planners must anticipate what’s next and respond quickly, often in real time. “No day…

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…