Ritu Rooney

BIG THINGS happening here at Supply Chain Now! Have you listened to all the episodes from this week? If not, no worries! Check them all out here:   We started out the week wrapping up our last episode from MODEX 2020 with supply chain visionary Diego Pantoja-Navaja with Oracle.   Supply Chain Now · “Supply Chain Visionary: Diego Pantoja-Navajas with Oracle”   On Tuesday, Scott and Greg were joined by Enrique Alvarez and Adrian Purtill with Vector Global Logistics as they continued the Logistics with Purpose series with special guest Patrick Plonski with Books for Africa.   Supply Chain Now · “Logistics with Purpose: Patrick Plonski, PhD with Books for Africa”   Then we published the new and improved Supply Chain Buzz, with Scott and Greg sharing and discussing the latest news and events in Supply Chain and beyond.   Supply Chain Now · “The Supply Chain Buzz: Week of April 27th”   Scott and Greg were joined by Bobby Holland with U.S. Bank and Lee Klaskow with Bloomberg Intelligence on Thursday as they discussed the key takeaways from the Q1 2020 U.S. Bank Freight Payment Index.   Supply Chain Now · “Analysis of Q1 2020 U.S. Bank Freight Payment…

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 Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction.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