Federico Gomez

Special Guest Blog Post written by Dyci Sfregola   Why planning, procurement, and leadership must move beyond coordination theater Collaboration is one of the most overused (and misunderstood) words in both modern supply chain and construction management. Everyone claims to value it. Few organizations design their operating models to make it work. In a recent conversation, Scott Luton sat down with Dyci Sfregola, author of Next Level Construction Management, to unpack what real collaboration looks like in practice; and why so many well-intentioned efforts fail to deliver measurable results.   What “True” Collaborative Planning Really Means According to Sfregola, real collaboration isn’t about more meetings or more dashboards. It’s about working together to create one plan, one set of assumptions, and real tradeoff analysis – – all owned collectively across functions. That includes finance, commercial, marketing, manufacturing, planning, and procurement all working from the same reality. Capacity, labor, cash flow, and constraints are visible. Decisions are documented. Actions actually change what happens next. The most common failure? Confusing information sharing with alignment. Teams often circulate data and emails and call it alignment, but no one in the room has clear decision rights – – or the authority to commit resources…

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…