Lorraine Balog

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.…

At Manifest 2026, Scott Luton spent time with Josh Gruenstein, Co-Founder and CEO of Tutor Intelligence, to talk about a future that’s no longer theoretical: AI-powered robot workers operating inside America’s warehouses and factories. And this isn’t a science experiment. It’s already happening.   From MIT to the Warehouse Floor Gruenstein and his team came out of MIT’s Computer Science and AI Lab with a bold idea: build AI-powered robot workers that can handle the manual labor people don’t want to do. “We build physical robots,” Gruenstein explained. “We build AI models that enable robots to perceive their environments, and then we deploy those robots into factories and warehouses across the United States to do manual labor that people don’t want to do.” Unlike traditional automation projects that require massive capital outlays, Tutor Intelligence operates on a robots-as-a-service model. Companies can engage a Tutor robot for roughly $14–$18 an hour, creating a flexible, scalable path to automation without multimillion-dollar implementation risk.   Automation Isn’t New. AI Is Changing the Playbook. When asked about dominant supply chain themes, Gruenstein pointed to a constant drumbeat: automation. But 2026 feels different. “Automation is obviously a constant theme,” he said. “What really seems different…