Zachary Kvale

Special Guest Blog Post written by Chris Cunnane with InterSystems   Demand sensing and demand forecasting are both crucial aspects of optimizing supply chains, but they do have slightly different functions in their approach and focus. Demand sensing uses real-time data and analytics to identify and respond to immediate demand fluctuations, while demand forecasting uses historical data to predict future demand over a longer period (months or years). Different methods, such as statistical modeling and machine learning, are used to enhance the accuracy and adaptability of these processes. Both areas are crucial for companies when it comes to projecting sales, managing inventory, and coordinating replenishment. In the end, the goal is to accurately predict customer demand by using predictive models to forecast future demand. InterSystems surveyed 450 senior supply chain practitioners and stakeholders to examine key supply chain technology challenges, trends, and decision-making strategies across five key use cases: fulfillment optimization; demand sensing and forecasting; supply chain orchestration; production planning optimization; and environmental, social, and governance (ESG). This blog focuses on demand sensing and forecasting.   Current State of Demand Sensing and Forecasting According to the survey results, when asked how they currently forecast demand, 36% of respondents indicated that…

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…