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June 12, 2020
This Week on Supply Chain Now: June 8th – 12th
Another great week here at Supply Chain Now! Have you listened to all the episodes? If not, you can check them all out here: On Monday, Scott and Greg chatted with Jenny Froome and Dominique Zwinkels. Supply Chain Now · “Supply Chain Front & Center: Jenny Froome & Dominique Zwinkels” Then on Tuesday, we continued in the Logistics with Purpose series and welcomed Jeremy Newhouse with MATTER to the podcast. Supply Chain Now · “Logistics with Purpose: Jeremy Newhouse with MATTER” On Wednesday, Scott and Greg tackled the top news in supply chain on the Buzz, and welcomed special guest Rob Lopez with Peach Tree Commercial Capital. Supply Chain Now · “Supply Chain Buzz with Rob Lopez & Peach Tree Commercial Captial: Manufacturing, Money & More” Scott and Greg were joined by Lynne Johnson and Joe Barto with AME on Thursday: Supply Chain Now · “Helping Manufacturers Share, Learn, & Grow: Joe Barto & Lynne Johnson with AME” And we wrapped up the week as Scott and Greg were joined by Ricahrd Schrade with Automation Intelligence: Supply Chain Now · “Tomorrow’s Automation Today: Richard Schrade, Co-Founder & President of Automation Intelligence” Which…
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…