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Joel Beal

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agentic AI
January 19, 2026

Kinaxis’ Fred Baumann on Continuous Disruption, Adaptive Planning, and Turning Turbulence into Opportunity

At the 2025 Gartner Supply Chain Planning Summit in Denver, Scott Luton sat down with Fred Baumann, Senior Industry Principal at Kinaxis, one of the world’s most recognized leaders in supply chain planning and orchestration. Kinaxis has spent over four decades shaping the planning landscape and has been named to the Gartner Leaders Quadrant an extraordinary 11 consecutive times—a testament to its execution strength and long-term vision. Baumann’s role at Kinaxis centers on helping chief supply chain officers and senior leaders shape their strategic transformation roadmaps, quantify value, and build the business cases necessary to achieve breakthrough outcomes.   From Episodic Disruptions to Continuous Turbulence When asked about old and new challenges facing supply chain planning teams, Baumann observed a major shift: disruption is no longer episodic—it’s continuous. Historically, companies faced major disruptions every few years. Today, volatility and constraint-related challenges—whether driven by tariffs, sourcing changes, geopolitical shifts, or supply shortages—are unfolding weekly or even daily. This environment demands a new way of working. The speed of global business is accelerating, and uncertainty is at historic highs. As Baumann noted, organizations must now adjust their supply chains “much faster than they had to even last year.” The shift isn’t only…
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…