Jerry Collins

Special Guest Blog Post written by Mark Holmes with InterSystems   A data gateway provides unified access to supply chain data from various sources, including enterprise systems, supply chain applications, data feeds, data warehouses, data lakes, data marts, and business entities. It helps companies meet their supply chain challenges head on and be ready for supply chain disruptions. Quick and easy access to live and historical data is critical for supply chain managers and practitioners, data analysts, stewards, engineers, and supply chain professionals in any industry. Here are just a few examples of industries that can benefit from a supply chain data gateway:   Fast Moving Consumer Goods and Consumer Packaged Goods In FMCG and CPG, the ability to make rapid, data-driven decisions is crucial for staying competitive in a fast-paced market. Companies can optimize their supply chain operations by using a data gateway that provides a unified and harmonized view of data. For instance, a logistics manager can monitor real-time data on inventory levels, customer orders, and transportation schedules to make better informed decisions and reduce lead times and costs while improving customer satisfaction. Healthcare In healthcare, a data gateway can improve visibility and inventory optimization by providing a…

Special Guest Blog Post written by Jeff Echel and Steve Lykken with e2open   Supply chain planners in high-tech don’t just manage shipments; they’re crisis managers, data detectives, and sometimes, referees in a high-stakes game of inventory tug-of-war. Why do these planners find themselves huddled in “war rooms,” surrounded by spreadsheets and urgent emails? It starts with relentless pressure: customers expect rapid, reliable service, but the reality is a maze of long lead times, outsourced manufacturing, and unpredictable global logistics. Securing critical components can take months, and a single misstep, like overstocking or missing a shipment, can ripple through the business, impacting revenue and margins. The chaos: War rooms and spreadsheet battles Add to that, the complexity of forecasting demand. Planners reconcile noisy, inconsistent data from retailers and distributors, often with little visibility, into . Forecasts are built, torn down, and rebuilt, sometimes manually, as teams try to align bottom-up channel data with top-down financial targets. Meanwhile, supply plans are constantly threatened by shortages, excess inventory, and last-minute changes. When demand surges or supply is disrupted, channels compete for limited stock, sometimes “stealing” from each other, and sometimes winning simply by being the loudest voice in the room. All of…