Alex Pradhan

We continued this week on Supply Chain Now with more great interviews, conversations, livestreams, and episodes! Did you miss any episodes? On Saturday, we published an episode of Logistics & Beyond where Jamin interviewed Ryan Schreiber for a great episode on the power of authenticity.     Then on Monday, Scott and Greg welcomed self-proclaimed supply chain enthusiast and ambassador, Sofia Rivas Herrera to the podcast. On Tuesday, we published a recent episode of Supply Chain is Boring, with the Supply Chain Doctor Chris Barnes interviewed Ted Stank.     We published our Supply Chain Buzz on Wednesday, where Scott & Greg discussed the top supply chain news of the week, as well as great tips and information about breaking into and advancing in supply chain.     On Thursday, Scott interviewed Anne Robinson, PhD with Kinaxis for a great conversation on the significance of resiliency versus efficiency in the supply chain, and other corporate leadership topics.     And on Friday, we published the first half of Greg’s interview with Sarah Barnes-Humphrey for TECHquila Sunrise.     Which was your favorite episode this week? Never miss an episode by subscribing to Supply Chain Now! Make sure you tune in…

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…