More
supply chain war room strategy
February 26, 2026
Inside the Supply Chain War Room: Max Garland on Backup Plans, Delivery Costs & the Human Side of Innovation
At Manifest 2026, Scott Luton shared a cup of coffee with Max Garland, Senior Reporter at Supply Chain Dive, an Informa TechTarget publication, for a boots-on-the-ground perspective from one of the industry’s most plugged-in observers. Garland covers freight, logistics, retail fulfillment, and parcel delivery: the parts of the supply chain where strategy meets reality. And after a bruising 2025, he sees an industry that’s not just reacting anymore. It’s recalibrating. From Plan B to Plan D If 2025 had a theme, Garland says it was contingency planning. “Last year was when a lot of companies were putting together those Plan B’s, Plan C’s, and Plan D’s,” he explained, pointing to tariff upheaval and shifting trade policy that forced leaders into constant reaction mode. Companies prioritized flexibility: diversifying sourcing, adjusting procurement strategies, and preparing for fires wherever they might spark. In 2026, that flexibility remains. But the tone has shifted. Now companies are “firming up their plans, fine-tuning, making sure those back-up plans are cost-effective as well.” It’s no longer just about avoiding disruption; it’s about operating efficiently within it. In other words, supply chain leaders aren’t just jumping over candlesticks anymore (like Jack from the old nursery rhyme). They’re…
AI-powered supply chain solutions
March 5, 2026
Anything is Possible: Josh Gruenstein on AI Workers, Throughput Pressure, and the Next Revenue Lever in Supply Chain
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…