Uploaded July 2026 | Updated September 2026, 30 minutes ago
Who gets left behind if they don't act now?
In this episode of The Freight Table, host David Garofalo sits down with Curtis Pogue, a supply chain and AI subject-matter expert and longtime IANA contributor, for a wide-ranging conversation recorded live at IANA's Intermodal Business Meeting in New Orleans. From visibility and control as the twin principles of supply chain management, to why AI is fundamentally a mindset shift rather than a technology purchase, Curtis brings sharp insight and refreshing candor to one of the industry's most important conversations.
In this episode, you'll learn:
- Why visibility and control have always been the hardest problems in supply chain — and how AI is finally making them achievable
- What "bad data in, bad results out" really means for intermodal operators considering AI adoption
- Why the hallucination problem with AI is mostly a question of how you're using it — and what a smarter approach looks like
- How AI breaks down siloed P&L thinking and forces a whole-chain perspective that benefits every mode
- Why the interchange point between modes is where bottlenecks form — and where AI-driven optimization has the most to offer
- What the pandemic exposed about supply chain decision-making in silos — and the lessons the industry still hasn't fully absorbed
- Why one CEO's warning — "half of these companies won't be here next year" — may not be an exaggeration
- Why AI adoption is less an economic issue than a mindset one: and what it means to think bigger than your own part of the chain
The amount of freight moving isn't going to decrease. The question is who will be equipped to move it.
About The Freight Table
A monthly podcast from the Intermodal Association of North America (IANA), connecting data, policy, and industry voices to give you a clear view of what's changing now — and what's coming next. Where intermodal comes together.
Who gets left behind if they don't act now?
In this episode of The Freight Table, host David Garofalo sits down with Curtis Pogue, a supply chain and AI subject-matter expert and longtime IANA contributor, for a wide-ranging conversation recorded live at IANA's Intermodal Business Meeting in New Orleans. From visibility and control as the twin principles of supply chain management, to why AI is fundamentally a mindset shift rather than a technology purchase, Curtis brings sharp insight and refreshing candor to one of the industry's most important conversations.
In this episode, you'll learn:
- Why visibility and control have always been the hardest problems in supply chain — and how AI is finally making them achievable
- What "bad data in, bad results out" really means for intermodal operators considering AI adoption
- Why the hallucination problem with AI is mostly a question of how you're using it — and what a smarter approach looks like
- How AI breaks down siloed P&L thinking and forces a whole-chain perspective that benefits every mode
- Why the interchange point between modes is where bottlenecks form — and where AI-driven optimization has the most to offer
- What the pandemic exposed about supply chain decision-making in silos — and the lessons the industry still hasn't fully absorbed
- Why one CEO's warning — "half of these companies won't be here next year" — may not be an exaggeration
- Why AI adoption is less an economic issue than a mindset one: and what it means to think bigger than your own part of the chain
The amount of freight moving isn't going to decrease. The question is who will be equipped to move it.
About The Freight Table
A monthly podcast from the Intermodal Association of North America (IANA), connecting data, policy, and industry voices to give you a clear view of what's changing now — and what's coming next. Where intermodal comes together.
