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February 14, 2021
This Week on Supply Chain Now: February 1st – 5th
Hot off the Press! We’ve got all the latest news in supply chain this week right here. Read up and make sure you’re in the know about everything happening here on Supply Chain Now, including all the latest podcasts, livestreams, & more! On Monday, Supply Chain Now hosts Jeff Miller (Supply Chain Is The Business) and Jamin Alvidrez (Logistics and Beyond!) sat down with Wayne Cragg – a professional driver, photographer and social media influencer. On Tuesday, Bobby Holland from U.S. Bank and Frank Hurst of Roadrunner Freight shared the results of the on the Q4 2020 report, interpreting what they may mean for the economy and the shipping industry in the short and longer term with Greg White and Scott Luton On Wednesday, Mario Rivera of ID Logistics joined the Supply Chain Now podcast to talk about creative, real-world problem solving with Co-hosts Greg White and Scott Luton On Thursday, Scott, Greg, & Karin sat down with Lee Klaskow from Bloomberg Intelligence, one of the leading industry analysts, especially as it relates to logistics and transportation On Friday, Scott Luton tackled a variety of developments including from this past week on the…
global supply chain
February 3, 2026
The Value of a Data-Driven Approach to Demand Sensing and Forecasting
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…