David Gardner

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…

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