Sean Kelly

In today’s supply chain landscape, digital transformation is no longer optional—but as the panelists in the latest Supply Chain Now webinar revealed, it’s also not just about technology. Hosted by Scott Luton and Jake Barr, this conversation brought together two powerhouse leaders: Eliza Simeonova, Quality Supply Chain Operations Officer at Haleon, and Philip Vervloesem, Chief Commercial & Markets Officer at OMP. Together, they tackled one of the most pressing challenges of our time—how to lead meaningful, people-centered transformation in an age increasingly defined by AI. A few insights stood out: Technology isn’t the hero—people are. True digital transformation begins with clarity of purpose, disciplined simplification, and leaders who stay close to the work. AI amplifies human intelligence, it doesn’t replace it. The most successful organizations empower their teams to collaborate with technology, not compete against it. Waiting for perfection is the biggest risk. Progress comes from experimentation, agility, and the courage to act before every variable is known. From redefining leadership mindsets to practical strategies for upskilling teams, this discussion offered an inspiring roadmap for supply chain leaders ready to embrace what’s next. Watch the full webinar on demand: Register to view the replay »Download the companion resource: 5 Must-Know…

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…