Bob Walker

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 Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction.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

At the jampacked MODEX 2026 in Atlanta, Scott Luton sat down with Brian Devine, President & CEO of Ignite Industrial Professionals, for a grounded and timely conversation about one of the most pressing issues in global supply chain: the workforce. While automation continues to dominate headlines, Devine makes one thing clear: people are still at the center of it all. And finding them is getting harder by the day.   “Fingerprints on Every Box” Despite rapid advancements in robotics and automation, Devine emphasizes a fundamental truth that often gets overlooked. “There’s still… fingerprints on boxes. Somebody’s putting their fingerprints on tons of boxes to move it to the next phase of the supply chain,” he explains. Even in many highly automated environments, human labor remains essential. Devine shares an example of a cutting-edge facility where autonomous forklifts handle part of the process, but still rely on human operators to complete the job. The takeaway? Automation is largely augmenting, rather than replacing, the workforce. And that makes the labor shortage even more critical to address.   A Shrinking Labor Pool One of the most compelling parts of the discussion centers on simple supply-and-demand economics. The labor pool isn’t just tight. It’s…