PODCAST

AI in logistics and the invoice nobody could verify

A few days before nShift Audit launched, CEO Jurgen Leijdekker and Chief Product Officer Johan Hellman joined Product Innovation Lead Thomas Bailey to talk about where AI is becoming useful in logistics - past the demos, past the hype, and into the actual operational reality.

They talk about why nShift saw AI as an opening rather than a threat, what separates a working AI product from AI theater, and how an invoice with thousands of lines and a ten-day payment window becomes something AI can finally read and explain. And when you're done, watch the team audit a real invoice, from upload to dispute, in our on-demand Solved session.

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In this episode:


  • How nearly three decades of shipment data gives AI context that a general model does not have
  • Why scale and trust become critical when AI moves into operational workflows
  • Jurgen and Johan on the SaaS apocalypse, domain knowledge and what faster software development changes for logistics
  • Why a freight invoice with a ten-day payment window is nearly impossible for a person to check line by line, and why spot checks can miss irregular errors
  • Why a prototype built in ten hours over two days still took six months of engineering before it became a product

Hosted by Thomas Bailey (Product Innovation Lead, nShift), with Jurgen Leijdekker (CEO, nShift) and Johan Hellman (Chief Product Officer, nShift).

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Check every freight invoice against what you agreed to pay

nShift Audit checks invoice lines against your contracted tariff and the shipment record, including what actually shipped. It explains discrepancies in plain language so your team can review the evidence and decide what to dispute.

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