Mucai Kunyiha

Another great week here at Supply Chain Now! Have you listened to all the episodes this week? If not, we’ve got it covered! Check them all out here: We took Monday off in observation of Memorial Day, and on Tuesday we welcomed Ward Richmond with SupplyChainRealEstate.com back to Supply Chain Now, and he gave Scott and Greg a supply chain real estate industry update.   Supply Chain Now · “Industry Real Estate Update: Ward Richmond & SupplyChainRealEstate.com”   On Wednesday, Mike Wasson and Aubree Duncan with Tosca joined Scott and Greg on Wednesday to talk about food safety and a supply chain update   Supply Chain Now · “Food Safety & Supply Chain Update: Mike Wasson & Aubree Duncan with Tosca”   On Thursday we published our popular Supply Chain Buzz, and Scott and Greg welcomed Jon Davis, Chief Meteorologist with Riskpulse to the podcast, who shared a weather update and how it affects the global supply chain.   Supply Chain Now · “The Supply Chain Buzz for May 26th with Special Guest Jon Davis with Riskpulse”   And on Friday, we welcomed MIchael Darden with DFM Data Corp to Supply Chain Now.   Supply Chain Now · “Michael Darden:…

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 Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction.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…