Resilient Supply Chain Podcast: Integration Debt and the Limits of AI in Logistics

The latest episode of the Resilient Supply Chain Podcast, hosted by Tom Raftery, examined a persistent constraint in logistics modernisation: integration. Raftery’s guest was JP Wiggins, CEO of 1Logtech, co-founder of GLog and 3G TMS, and a former SAP transportation executive. The discussion focused on why many supply chains still rely on manual workarounds despite years of digital investment, and why AI cannot compensate for fragmented partner data. For supply chain leaders, the message is clear: resilience depends less on ambition than on execution. The full episode is available at www.resilientsupplychainpodcast.com.

AI meets operational reality

The central argument was blunt. “AI is a tool, not a strategy,” Wiggins said, insisting that any use case must show “hard ROI” or risk becoming little more than noise. That matters because many organisations are being pushed to define AI strategies before fixing the underlying data and integration problems that limit visibility and decision-making in the first place.

For supply chain leaders, that flips the usual framing. The real question is not whether AI can add value, but whether the operating environment is capable of supporting it.

The real bottleneck is integration

A recurring theme was that logistics remains far more fragmented than many digital transformation programmes assume. Carriers, brokers, warehouses, ERP systems and TMS platforms all work with different formats, assumptions and levels of technical maturity. Even where standards exist, they are often applied inconsistently.

One anecdote captured the point neatly: in one project, “FOB” did not mean the Incoterm at all, but “fruit on bottom”. Slightly ridiculous, yes, but also revealing. Shared terminology often masks inconsistent meanings, and those inconsistencies create friction across the network.

Resilient Supply Chain Podcast: www.resilientsupplychainpodcast.com

Manual workarounds still dominate

The episode also highlighted how quickly supposedly digital operations fall back to phone calls, emails and check calls when disruption hits. That weakens visibility, slows response times and increases the risk of error, especially when teams are trying to manage exceptions under pressure.

The consequence is that many firms have invested in sophisticated systems but still operate with fragile information flows. In practice, resilience fails where data fails.

From IT backlog to operational capability

Wiggins also pointed to a more practical shift: moving integration away from lengthy development cycles and closer to business-user configuration. When one carrier connection can still take months and significant developer time, the problem is not just cost. It is agility.

Faster, simpler integration changes more than implementation speed. It improves carrier onboarding, reduces dependency on IT bottlenecks, and gives operations teams more control over execution. That has direct implications for cost, responsiveness and competitive advantage.

The broader takeaway is that resilience depends on connected, trustworthy data across the supply network, not just better internal systems. AI may improve decision support, but only where the underlying information is usable. For senior leaders, the strategic priority is straightforward: treat integration, partner readiness and data integrity as core resilience capabilities, not back-office technical issues.