Laura Madajewski, CPA, MBA

At Manifest 2026, Scott Luton spent time with his friend, Jorge Morales, Global Chief Operating Officer of the International Supply Chain Education Alliance (ISCEA), for a conversation that centered not on hype, but on growth. ISCEA is a global certification body serving supply chain professionals around the world. But as Morales put it, “We’re in the knowledge business; but most of all, we’re in the personal growth business.” Through certifications, membership programs, advisory boards, and global events, ISCEA empowers professionals to stay current, expand their networks, and advance their careers. In a volatile era, that mission has never been more relevant.   Beyond the AI Hype Cycle When asked about dominant themes from 2025 to 2026, Morales pointed to a shift in how the industry views technology. “Last year we were still in the bubble of the hype of AI,” he said. Many professionals feared being replaced or assumed AI would solve everything overnight. That perspective has matured. “Technology by itself is not what determines your level of success,” Morales explained. “Understanding the basics, knowing how things work; THAT is key.” AI and data tools remain critical across procurement, logistics, manufacturing, planning and more. But success depends on how organizations…

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