In most logistics organizations today, there is no real debate about the value of improving transport operations and utilisation. The potential is well understood: Reduced cost, fewer empty runs, lowered emissions, and more reliable execution that improves service.
Yet, despite this shared understanding, the gap between what is possible and what is actually achieved remains significant.
In our opinion, this gap is often misunderstood. It is rarely a question of missing technology or lack of data. More often, it is about how decisions are made - and supported - in everyday operations.
Where value is actually created
Transport logistics is not a static system. Even in relatively stable environments, plans are continuously adjusted. Delays occur, volumes shift, and conditions change across partners and flows.
What has changed in recent years is not the existence of this variability, but its magnitude and speed. Geopolitical uncertainty, regulatory pressure, climate-related disruptions, and increasingly interconnected supply chains mean that changes are no longer isolated events. They propagate.
A delay in one part of the network can quickly affect multiple actors. A change in demand can impact capacity availability across regions. Decisions that were once local now have wider consequences.
In that context, value is not created when a plan is made. It is created in how that plan is adapted - in real time, across the network.
Why insights alone is not enough
Many companies have invested heavily in improving visibility. They have access to dashboards, reports, and increasingly granular data on both cost and emissions.
This is an important step forward. But it does not automatically translate into better outcomes.
In our experience, the limiting factor is not whether insight exists, but whether it is used at the point where decisions are made.
A planner might see that an alternative transport option reduces emissions, but lacks the mandate to choose it. A buyer might have access to multiple carriers, but not in a format that allows for quick comparison. A deviation might be visible but not acted upon in time because responsibilities are unclear.
The result is that decisions are either delayed, made on incomplete information, or default to established patterns - even when better options are available.
The operational reality
When we look at how logistics work is actually performed, a few patterns tend to repeat:
- Information is spread across systems and actors, making it difficult to get a complete view.
- Communication is fragmented, often relying on email, calls, or manual follow-ups.
- Plans are created centrally, but execution happens in a distributed way.
- Trade-offs between cost, service, and emissions are handled case by case, without consistent support.
None of this is surprising. It reflects the complexity of the system. And it also explains why value is hard to realize.
The system is not set up to consistently support the decisions that would create it.
Technology plays a role - but not the one often assumed
Digital platforms, integration, and more recently AI are often presented as the solution to these challenges.
In our opinion, their role is more specific. They do not remove complexity. They do not eliminate the need for human judgment. And they do not, on their own, create better outcomes.
What they can do is reduce friction in how decisions are made. They can bring relevant data together, structure communication, and make alternatives visible in the moment they are needed.
That may sound like a small shift, but operationally it is significant. When decisions can be made faster, with better context, and closer to where the situation occurs, the entire system becomes more responsive.
What needs to change
When the goal is to turn potential value into actual results, the focus needs to move from systems and insights to execution.
In practice, that means a few things:
- First, decisions need to be supported where they happen — not only in planning tools or reports, but in the workflows used every day.
- Second, information needs to be shared across the actors involved in a flow. Not necessarily all data, but enough to enable coordinated decisions.
- Third, responsibility and authority need to be aligned. If someone is expected to act, they also need the mandate to choose between alternatives.
- And finally, trade-offs need to be made explicit: Cost, service, and emissions are not separate topics - they are dimensions of the same decision.
A practical takeaway
So, the value is clear. But realizing the value depends on whether the system - technical and organizational - is designed to support decisions, not just describing the situation.
Improving transport logistics performance is less about finding better plans, and more about enabling better decisions as reality unfolds.
That is where cost is influenced, where emissions are reduced - and where resilience is built.
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