Polly Mitchell-Guthrie

Special Guest Blog Post written by Karin Bursa, Founder and CEO of NIRAKIO and Supply Chain Now Host   Artificial intelligence is no longer a “what if” in supply chain — it is here. In fact, Gartner predicts that 50% of cross-functional supply chain management solutions will use intelligent agents to autonomously execute decisions in the ecosystem by 2030. But how do leaders move from hype to real impact? During our recent Supply Chain Now Power Panel, I asked five senior executives to share where they see AI making the biggest impact. Their answers revealed not just excitement, but a roadmap for how supply chains can evolve. Here is how they responded, in their own words. Q: Where do you see AI making the greatest impact in your supply chain? Eliza Simeonova – VP Global Supply, Mars Pet Nutrition “AI forces operational discipline. Clean data is no longer optional. The system itself demands it. I also see AI shaping supply chain synchronization — aligning suppliers, factories, warehouses, and customers in new ways.” Whitney Shlesinger – VP Global Planning & Logistics, McCormick “For me, it’s about people. Employees want to move beyond non-value-added work. AI allows us to free them up…

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…