Diana Eagen

Another great week here at Supply Chain Now! Have you listened to all the episodes? If not, no worries! Check them all out here: We added a special Saturday episode on May 9th and featured another speaker from the 2020 AIAG CR Summit, Eric Kane with Bloomberg, and his insights from the conference.   On Monday, we continued our Supply Chain Super Trends series with Sarah Barnes-Humphrey with Let’s Talk Supply Chain. Supply Chain Super Trend #3 focused on a holistic approach to supply chain TALENT.     Mike Griswold with Gartner joined us for another excellent livestream last week, and we published it as a podcast episode on Tuesday. He shared his latest observations on how COVID-19 is impacting global supply chains. A MUST-listen!     We continued our interviews with the speakers from the AIAG CR Summit on Wednesday, with great insights from Dr. Assheton Carter with TDI Sustainability.     Thursday we published our popular Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.     And on Friday, we wrapped up the interviews with the extrordinary speakers from the AIAG CR Summit, with Brian Rich…

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…