Cody Graham

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…

In today’s supply chain landscape, digital transformation is no longer optional—but as the panelists in the latest Supply Chain Now webinar revealed, it’s also not just about technology. Hosted by Scott Luton and Jake Barr, this conversation brought together two powerhouse leaders: Eliza Simeonova, Quality Supply Chain Operations Officer at Haleon, and Philip Vervloesem, Chief Commercial & Markets Officer at OMP. Together, they tackled one of the most pressing challenges of our time—how to lead meaningful, people-centered transformation in an age increasingly defined by AI. A few insights stood out: Technology isn’t the hero—people are. True digital transformation begins with clarity of purpose, disciplined simplification, and leaders who stay close to the work. AI amplifies human intelligence, it doesn’t replace it. The most successful organizations empower their teams to collaborate with technology, not compete against it. Waiting for perfection is the biggest risk. Progress comes from experimentation, agility, and the courage to act before every variable is known. From redefining leadership mindsets to practical strategies for upskilling teams, this discussion offered an inspiring roadmap for supply chain leaders ready to embrace what’s next. Watch the full webinar on demand: Register to view the replay »Download the companion resource: 5 Must-Know…