Uploaded March 2026 | Updated September 2026, 2 weeks ago
If your AI strategy can’t show hard ROI, it’s not strategy. It’s fluff.
And if your supply chain still falls back to emails and phone calls, resilience is weaker than it looks.
JP Wiggins is CEO of 1Logtech, co-founder of GLog and 3G TMS, and a former SAP transportation leader. He’s spent decades inside transportation management, logistics integration, and the systems that are supposed to keep supply chains moving when disruption hits. The problem he’s tackling is brutally practical: most firms still can’t connect trading partners fast enough, cheaply enough, or cleanly enough to get the visibility they think they already have.
That matters now because cost pressure, disruption, labour constraints, and AI hype are all colliding at once. Boards are asking for AI strategies. Operations teams are still stuck with manual check calls, brittle integrations, outdated EDI, and partner data that arrives in ten different formats. If your data flows are fragmented, your control tower is weaker than advertised, and any promise of supply chain resilience starts to wobble.
What shifted my thinking here was how clearly JP separates the fashionable problem from the real one. First, his line that “AI is a tool, not a strategy” lands because he ties it to hard dollars, not conference buzzwords. Second, he explains why AI in supply chain can’t work if it can’t see enough, which means integration and clean partner data matter far more than most vendors admit. And third, the maths is ugly in the best possible way: one carrier integration can still take three months and cost around $10,000 in dev effort, while a business user with the right platform can get something working the same day. That’s not a marginal improvement. That’s a structural shift.
There’s also a gloriously absurd example in here that proves the point. “FOB” didn’t mean Free On Board in one project. It meant “fruit on bottom”. Funny, until you remember whole workflows can break on assumptions like that.
This is for supply chain, logistics, procurement, operations, and risk leaders who are trying to cut through AI theatre and build systems that actually work.
If you’re dealing with this on the ground, I’d like to hear how you’re handling it.
🌐 Podcast website: resilientsupplychainpodcast.com
🔔 Follow the podcast for more episodes on supply chain resilience, operational risk, sustainability, and decision-making
🎧 Subscribe on YouTube, Spotify, or Apple Podcasts
⏱️ Timestamps:
00:00 – Why AI without ROI is just fluff
00:22 – JP Wiggins on the real logistics integration problem
01:05 – Why carrier and ERP connections still break at scale
03:01 – Why “standards” still fail in supply chain data
05:01 – Why resilience collapses back into calls and emails
06:00 – Why AI fails when it cannot see the supply chain
07:44 – How no-code integration changes speed and ownership
15:28 – The 3-month, $10,000 carrier integration problem
19:22 – What faster integrations replace across logistics operations
25:35 – How digital connectivity improves resilience and lowers cost
29:40 – Where COOs and CIOs should start fixing integration drag
31:18 – The partner problem leaders keep underestimating
If your AI strategy can’t show hard ROI, it’s not strategy. It’s fluff.
And if your supply chain still falls back to emails and phone calls, resilience is weaker than it looks.
JP Wiggins is CEO of 1Logtech, co-founder of GLog and 3G TMS, and a former SAP transportation leader. He’s spent decades inside transportation management, logistics integration, and the systems that are supposed to keep supply chains moving when disruption hits. The problem he’s tackling is brutally practical: most firms still can’t connect trading partners fast enough, cheaply enough, or cleanly enough to get the visibility they think they already have.
That matters now because cost pressure, disruption, labour constraints, and AI hype are all colliding at once. Boards are asking for AI strategies. Operations teams are still stuck with manual check calls, brittle integrations, outdated EDI, and partner data that arrives in ten different formats. If your data flows are fragmented, your control tower is weaker than advertised, and any promise of supply chain resilience starts to wobble.
What shifted my thinking here was how clearly JP separates the fashionable problem from the real one. First, his line that “AI is a tool, not a strategy” lands because he ties it to hard dollars, not conference buzzwords. Second, he explains why AI in supply chain can’t work if it can’t see enough, which means integration and clean partner data matter far more than most vendors admit. And third, the maths is ugly in the best possible way: one carrier integration can still take three months and cost around $10,000 in dev effort, while a business user with the right platform can get something working the same day. That’s not a marginal improvement. That’s a structural shift.
There’s also a gloriously absurd example in here that proves the point. “FOB” didn’t mean Free On Board in one project. It meant “fruit on bottom”. Funny, until you remember whole workflows can break on assumptions like that.
This is for supply chain, logistics, procurement, operations, and risk leaders who are trying to cut through AI theatre and build systems that actually work.
If you’re dealing with this on the ground, I’d like to hear how you’re handling it.
🌐 Podcast website: resilientsupplychainpodcast.com
🔔 Follow the podcast for more episodes on supply chain resilience, operational risk, sustainability, and decision-making
🎧 Subscribe on YouTube, Spotify, or Apple Podcasts
⏱️ Timestamps:
00:00 – Why AI without ROI is just fluff
00:22 – JP Wiggins on the real logistics integration problem
01:05 – Why carrier and ERP connections still break at scale
03:01 – Why “standards” still fail in supply chain data
05:01 – Why resilience collapses back into calls and emails
06:00 – Why AI fails when it cannot see the supply chain
07:44 – How no-code integration changes speed and ownership
15:28 – The 3-month, $10,000 carrier integration problem
19:22 – What faster integrations replace across logistics operations
25:35 – How digital connectivity improves resilience and lowers cost
29:40 – Where COOs and CIOs should start fixing integration drag
31:18 – The partner problem leaders keep underestimating
