Dustin McIntire

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

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton sat down with Caglar Ozdag, a supply chain leader at ZS. Known for its deep analytics and technology expertise across industries such as life sciences, airlines, consumer goods, and agriculture, ZS has become a trusted partner for organizations looking to elevate their planning and manufacturing performance. Ozdag leads the firm’s supply chain practice with a focus on planning from detailed forecasting through detailed scheduling. As a former practitioner himself—having led planning operations at large global enterprises—he brings a grounded, real-world perspective to the challenges facing today’s supply chain leaders.   Old Problems Persist—and New Ones Are Emerging When asked about classic and emerging challenges in planning, Ozdag didn’t hesitate: firefighting isn’t going away. From supply planning disruptions to last-minute schedule changes, firefighting remains a daily reality. “Life happens,” Ozdag noted. Plans rarely match reality, and organizations must constantly adjust. But today, a new layer has been added: AI uncertainty. Everywhere he goes, leaders are asking the same questions: “Is AI the right investment?” “Will the ROI materialize?” “Are we adopting the right tools, or just chasing hype?” This blend of enduring complexity and emerging skepticism has become a defining…