Claudia Freed

Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now. On Monday, we released 2 new episodes! On this episode of Digital Transformers, Kevin L. Jackson discusses how Enterprise Information Management Transforms with Mark Judson. On This Week in Business History, Scott Luton shares about 10 Cities with Business Ties You Didn’t Know! On Tuesday, we released an episode of TEKTOK with host, Karin Bursa. She was accompanied by Scott Luton and supply chain pioneer, Art Mesher. On Tuesday we also released an episode of TECHquila Sunrise with host Greg White and special guest Shannon Vaillancourt, CEO of Ratelinx. On Wednesday we released Supply Chain Today and Tomorrow hosted by Scott Luton and Greg White with special guest Mike Griswold from Gartner. On Thursday, we released a replay of the Supply Chain Buzz. In this episode, hosts Greg White and Scott Luton welcomed Jordon White from Crisp and Jerry Stephens from Outlier to discuss the current state of the food and retail supply chain. We ended the week on Friday with 2 episodes! We released another Dial P for Procurement episode! Hosts Kelly Barner and Scott Luton welcomed special…

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…