Operating conditions in the freight and logistics industry are evolving rapidly, driven by shifting market dynamics and ongoing disruptions. With the freight market’s volatility, capacity constraints, and changing cost structures, leaders must adapt quickly to make informed decisions and maintain a competitive edge in an increasingly uncertain environment. In this episode of Supply Chain Now, Scott Luton is joined by special guest host Jake Barr. Together, they talk to Bobby Holland, Vice President/Director of Freight Business Analytics at U.S. Bank, and Dr. Chris Caplice, Chief Scientist at DAT Freight & Analytics, to dive deep into the inaugural U.S. Bank Freight Payment Index, Rates Edition, a comprehensive resource that provides crucial insights into freight rates, spot and contract rates, fuel prices, and more. The panel explores how supply chain leaders can leverage this data to optimize freight strategies, anticipate market shifts, and make data-driven decisions with confidence. The discussion also highlights the importance of scenario analysis and flexibility in managing supply chain risks, emphasizing how agility can turn disruption into opportunity. The conversation wraps up with practical takeaways on building more resilient supply chains, improving forecasting accuracy, and preparing for the next phase of freight market evolution.   This episode is…

Automation is showing up everywhere in supply chain planning, but the winners aren’t the ones automating the most. They’re the ones choosing the right decisions to automate, bringing people along early, and using AI to build speed and confidence in planning. In this episode of Supply Chain Now, Scott Luton and special guest host Karin Bursa, CEO of NIRAKIO, welcome Noha Samara, Senior Director, Global Supply Chain at Gartner, to share key takeaways from the Gartner Supply Chain Planning Summit in Denver. Noha unpacks why AI is shifting from “side experiment” to a core part of planning’s operating model, and why the most successful organizations define a clear human-machine strategy instead of trying to “spread AI like peanut butter.” The conversation spotlights the “people side” of transformation: change management, capability-building, and involving planners early so AI is implemented with teams, not to them. The group also dives into end-to-end data and scenario-driven range planning, including how top performers extend those range discussions with suppliers, customers, and trading partners. They close by emphasizing agility through targeted automation, clarity on humans “in/on/off the loop,” and why leaders can’t afford to sit on the sidelines as the pace of disruption and innovation accelerates.…