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August 6, 2021
This Week In Supply Chain Now: August 2nd-6th
Stay up to date on all the latest conversations, interviews, and episodes we released this week here at Supply Chain Now. On Monday’s episode of Supply Chain Now, Scott Luton and Greg White discuss the U.S. Bank 2021 Q2 Freight Payment Index with Bobby Holland of U.S. Bank & John Janson with Sanmar. On This Week in Business History, Kelly Barner shares the best and most interesting bits of historical business trivia, all occurring during the first week in August. We also released an episode of Supply Chain Now en Español with Enrique Alvarez and Demo Perez featuring Felisa Preciado. On Tuesday we released another Logistics With Purpose episode! Hosts Enrique Alvarez and Kristi Porter welcomed Alice Brown with GoodSteps to the show. Another show that was in the mix this week was TECHquila Sunrise with Greg White. This is the 2nd part of a great conversation with RateLinx CEO Shannon Vaillancourt, where they discussed 3 Keys to turn supply chain visibility into action. On Wednesday, Tim Nelson with Hope for Justice joined Scott Luton and Greg White. They discussed their noble efforts to eradicate slavery and human trafficking in the supply chain throughout the world. On Thursday, we released…
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…