Bob Dalton

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 Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction.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

It’s an exciting, transformative period for the global supply chain. After several years of disruptions from the pandemic, high-stakes labor challenges, and unstable global trade, supply chain innovators are looking to future-focused solutions that can help logistics professionals not just survive, but thrive in this complex environment. In this article, we explore nine FreightTech solutions (in no particular order) that are making a significant impact in 2024. 1. Axle: Streamlining Back-Office Operations with AI Axle Technologies is modernizing the logistics industry by leveraging artificial intelligence to streamline time-consuming back-office operations. Their universal data platform simplifies access to logistics data, enabling companies to optimize deliveries, reduce fuel costs, and enhance the sustainability and profitability of trucking. Axle embraces diversity, collaboration, and the 80-20 rule, understanding that customer feedback is essential for innovation. By wrangling diverse data sources into a universal schema, Axle is building the transportation infrastructure of tomorrow, making the industry more efficient and resilient. 2. EAIGLE: Enhancing Visibility with AI EAIGLE uses AI to provide unprecedented visibility into operations at gates and yards. Their end-to-end AI platform works with existing or third-party hardware, including optical and infrared cameras and radar sensors. This hardware-agnostic approach ensures superior accuracy, eliminating false…