Romaine Seguin

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 Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction.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

Special guest post written by Chris Cunnane with InterSystems Supply chain orchestration is the coordinated management of end-to-end supply chain activities, across planning, sourcing, production, logistics, and delivery, using technology, data, and processes to ensure that every moving part works together seamlessly. It enables organizations to attain an agile and resilient supply chain model through the use of decision intelligence. This is achieved through the See > Understand > Optimize > Act framework, which gives organizations the confidence to plan and respond to disruptions with assurance in their supply chain stability. See: gather raw data and information from your environment or a situation. Understand: analyze the information you’ve seen to build a comprehensive understanding of the context, your knowledge, and potential complexities. Optimize: develop the best possible solution or course of action to address the situation. Act: implement your chosen solution, putting your knowledge into practice. From a practical standpoint, this framework powers your supply chain application ecosystem with end-to-end visibility, insights, and better decisions. It helps organizations reach their supply chain goals by enabling them to align processes, stakeholders, and technology toward desired outcomes. The end result is reduced costs, improved operating margins, and optimized sustainability decisions, among others.…