Norman Bodek

Special Guest Blog Post written by Matt McKinney, Co-Founder and CEO of Loop   I spend most of my time with supply chain and innovation leaders at major enterprises who are sitting on significant AI budgets but struggling to show measurable business impact in an increasingly complex and volatile supply chain environment.   These conversations have evolved dramatically. A year ago, executives were asking basic questions about AI feasibility. Today, the questions have shifted to strategic implementation at enterprise scale.   Based on hundreds of these discussions, three questions consistently emerge that separate companies making transformational progress from those stuck in pilot purgatory.   How do we move from AI experiments to enterprise-scale impact?   Most organizations have yet to see organization-wide, bottom-line impact from AI use. This is the strategic challenge keeping C-suite leaders awake at night.   The problem isn’t the technology. It’s the application of the technology. Too many enterprises are trying to treat AI like a magic wand they can bolt onto existing systems. But garbage in, garbage out. If your underlying data is fragmented and inconsistent, AI won’t solve your problems; in fact they’ll get worse.   At its core, anything automated is powered by…

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…