Kendra Miller

In a rapidly evolving global supply chain landscape, SAP’s David Vallejo believes the most exciting innovations are happening in planning—and that the industry is entering a fundamentally new era. At the Gartner Supply Chain Planning Summit 2025 in Denver, Vallejo, who leads global product marketing for SAP’s supply chain portfolio, joined Scott Luton to discuss how planning is transforming, why data now sits at the center of competitiveness, and what SAP is doing to help organizations make faster, more confident decisions.   A Shift From ERP-Centric to Data-Centric Vallejo described his team’s role as one that constantly scans the market—identifying trends, customer expectations, and the problems companies will need to solve next. Those insights help shape new innovations across the SAP ecosystem. He noted that SAP has moved decisively from an ERP-centric worldview to a data-centric one. This shift is essential, he argued, because the biggest advantage in modern planning lies in having the right data—clean, connected, contextualized, and ready to drive decisions. As Vallejo put it, “It’s all about the data that I need to make better planning decisions.”   Planning Models Are No Longer Static Reflecting on how planning has evolved since he entered the field two decades…

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…