Donna Mullins

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…

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton caught up with Rob Haddock, a seasoned supply chain practitioner and advisor with Demand Chain AI, to discuss the persistent planning challenges organizations face—and why maturity, discipline, and optimization still matter more than buzzwords. Demand Chain AI blends consulting services with advanced supply chain technologies, focusing on optimization across trade promotion management, demand sensing, supply planning, and detailed production scheduling. Haddock’s role centers on helping organizations strengthen business processes—particularly sales and operations planning (S&OP), performance reporting, and the practical application of technology to improve execution on both the demand and supply sides.   A Practitioner’s Perspective on Planning Gaps Haddock’s perspective is shaped by decades spent inside large, sophisticated supply chain organizations. Early in his career, he worked within an iconic, global beverage company where advanced planning environments were already in place—though, in hindsight, he admits those tools were sometimes underutilized. Today, Haddock spends much of his time working with small and mid-sized organizations that haven’t been as fortunate. In many of these environments, planning maturity is still low, foundational practices are missing, and—unsurprisingly—Excel remains the primary planning tool. “Basic business practices that have been around since the 1990s…