Erik Bush

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 Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction.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

When service levels slip, most organizations respond the same way: add more inventory. A little extra safety stock here, a buffer there, and to many businesses, that feels like the safest path forward. But it rarely works. Instead of solving the problem, businesses end up with bloated inventory in one location and stockouts in another. Working capital climbs, service is still inconsistent, and planners are stuck reacting rather than improving outcomes. It’s like trying to fix traffic by adding more cars to the road, and congestion just gets worse. This is the inventory trap: chasing service by piling up stock instead of managing it strategically.   What is Multi-Echelon Inventory Optimization? Multi-Echelon inventory optimization (MEIO) helps you put the right inventory in the right places across your network to hit service goals with less total stock. Instead of optimizing each site in isolation, MEIO looks at your entire network of plants, distribution centers, suppliers, and customers as one connected system.   The three most common inventory issues businesses face At its core, MEIO answers three questions every supply chain leader is asking: Where should we hold inventory? Not every location needs the same level of protection. MEIO determines the most…