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Andrea Rivas Herrera

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AI
September 25, 2025

The 3 Critical Questions Enterprise Shippers Ask Me About AI

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…
orchestration
November 4, 2025

Unifying Real-Time Data for End-to-End Supply Chain Orchestration

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.…