Lessons from AI, autonomous mobility and postal ecosystems on why logistics is becoming an AI-first sector, and what that signals for every platform business.
Logistics used to be simple to describe: pick up a parcel, move it, deliver it. The complexity was operational, scheduling, routing, last-mile density, cost per drop, and the model was basically fixed.
That model is being pulled apart and rebuilt by technology. And it is happening faster in logistics than almost anywhere else, because the incentives are so blunt: every second saved, every route optimised and every failure avoided has a direct, measurable cost.
AI suits logistics because logistics throws off continuous, structured, high-volume data. Every parcel is tracked. Every route is monitored. Every delivery window is logged against an outcome. That data density is exactly what agents need to get better over time.
And it goes well beyond route optimisation. At the Parcel+Post Expo this year we talked about agents that make autonomous decisions on routing and prioritisation, that move from predictive to prescriptive, that re-route and tell the customer before an SLA is missed rather than after. That is what I mean by software-defined logistics: the network starts to run like one coordinated, self-optimising system.
The most visible version of this is autonomous delivery: drones, robots and self-driving vehicles on the last mile. Bpost shared a model on our panel where an autonomous vehicle covers the first stretch out of the depot before a driver hops on for the round. They are also looking at humanoid robots to augment sorting. This is not science fiction any more. It is an operating model question.
The operators who navigate it well will treat autonomous mobility as a network design challenge, with real implications for workforce, infrastructure, regulation and customer experience, not as a gadget to bolt on.
The deeper lesson is a platform lesson. Logistics businesses that digitise their networks are not just getting better at moving parcels. They are becoming platforms, connecting merchants, carriers, consumers, data and services in ways that create value beyond any single delivery.
That is what the most interesting postal and logistics operators are quietly building: national digital infrastructure, not just national delivery infrastructure. The distinction matters enormously for how they invest, partner and compete.
Alex Collins
Co-founder & COO at RAI Digital & Infinite PL · Ex-EY Consulting Partner · Writing on agentic AI, venture building, logistics platforms and transformation leadership.
One honest read every fortnight on what agentic AI is doing to consulting, and what to do about it. For people moving from advice to outcomes, rebuilding a firm, or done buying decks. No hype, no fluff.
Boards are being handed AI usage numbers as a progress report, and three studies this year show readiness can fall while adoption climbs, because the business change is not keeping pace with the technology.
The argument about AI and consulting has been about the bottom of the model, and the change that matters is happening at the other end, where the hand-off between the people who decide and the people who deliver is running out of reasons to exist.
The AI headcount debate has been asking the wrong question, and the answer to the right one is a place where people are allowed to be wrong.
