Matthew Burchette

It might have been a short week for some, but at Supply Chain Now, it was chock-full of great interviews, conversations, livestreams, and episodes!   For a bonus episode on Saturday, Scott and Greg welcomed Tyson Steffens with Pallet Alliance and Jom Fechner with USG to the podcast to talk about building a national procurement program and optimizing your spend.   Supply Chain Now · “How and Why to Build a National Procurement Program to Optimize Your Spend”   On Monday, Scott dug back into the archives for This Week in Business History, and gave us all the story behind Labor Day.   Supply Chain Now · “This Week in Biz History for September 7th: The Story Behind Labor Day”   On Tuesday, Jamin Alvidrez joined Scott as co-host, and welcomed a couple of amazing people in logistics and transportation, Trey Griggs with Lean Sales and Nicole Glenn with Candor Expedite.   Supply Chain Now · “The Amazing People of Logistics & Transportation: Featuring Nicole Glenn & Trey Griggs”   Tim Judge with Agillitics and Nate Endicott with RateLinx joined Scott and Greg on Wednesday for a great conversation on agile decision making in supply chain.   Supply Chain Now…

Special Guest Blog Post written by Chris Cunnane with InterSystems   In a world defined by rapid market shifts, volatile supply chains, and unpredictable customer behavior, traditional forecasting methods often fall short. Relying primarily on historical data is no longer enough. To stay competitive, organizations are increasingly turning to demand sensing and forecasting, an approach that blends real-time data, advanced analytics, and AI to anticipate demand more accurately and respond faster to change. This shift is not limited to retail or manufacturing. Demand sensing is transforming how organizations across industries plan operations, allocate resources, and improve service levels. Below, we explore key industry use cases where demand sensing is delivering measurable value, and why businesses should care.   Why Demand Sensing Matters Demand sensing moves beyond static historical trends. It incorporates current, high-velocity data signals such as sales transactions, weather patterns, logistics feeds, economic indicators, and even social sentiment to generate short-term demand forecasts that reflect real-world conditions. The benefit is clear. Organizations gain better visibility and responsiveness across procurement, production, inventory, and distribution. Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction. FMCG, CPG, Retail, & E-Commerce Fast-moving…