Andrea Rivas Herrera

Special Guest Blog Post written by Parabola Founder & CEO, Alex Yaseen   Operators are under pressure. They’re expected to move faster, do more with less, and somehow keep everything running smoothly while their systems, tools, and data are a mess. Now, AI is adding a whole new layer. On one hand, it’s exciting. The potential is real. On the other, a lot of teams feel stuck. They know they should be using AI, but they’re not sure where it fits into their day-to-day work. These are the five questions I get asked most often—whether someone’s trying to get started with automation, or trying to figure out how AI actually helps. 1. Can we automate this, or is it too messy? This question usually comes from someone deep in a spreadsheet that was never meant to scale. The short answer is: yes, you can probably automate it. But the longer answer is that you’ll need to rethink the process first. AI can help summarize, transform, and clean data—but it won’t fix a broken workflow. That’s on you. The best teams pair structured automation with lightweight AI to get leverage. Think: using rules and logic to standardize a workflow, and AI…

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…