John Freeze

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   Top 10 Ways a Data Gateway Improves Time to Value Across End-to-End Supply Chains Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, increase operational efficiency, and improve supply chain resilience can benefit from a supply chain data gateway. 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. Here are the top 10 ways a supply chain data gateway can improve your supply chain performance. Enables You to Identify Inefficiencies and Make Better and Informed Decisions A unified view of your data accelerates informed decision making and provides you with a comprehensive understanding of your supply chain. For example, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to identify inefficiencies and make better informed decisions. Reduces Implementation Times Enterprises and supply chain software providers strive to reduce application implementation times. A data gateway can serve as a front-end for a range of supply chain software applications, speeding and simplifying data ingestion, integration,…