Artificial intelligence can do a lot. But for us at DORA, the interesting part is not AI in itself — it is what we can use it for. Can the technology help us build better solutions, remove manual work and make the working day easier for the haulier? Then it makes sense.
Because there is plenty to keep track of as a haulier. Trucks have to be on the road, drivers have to be dispatched, customers need answers, documentation has to be in order, and hours, supplements and wages have to add up.
When we develop DORA, we start from that everyday reality. Here, AI has become one more tool we can reach for when it can make something complex simpler.
"We don't need to make things more complicated than they are. If AI can help us make the complex simple, we have already come a long way."
— Rikke Høyer, COO & co-founder of DORA
150 pages of a collective agreement is not exactly bedtime reading
AI is not built into every part of DORA. What we do is use the technology as a tool in our development work when it makes sense. A good example is our work on wage calculation. The Danish Transport and Logistics collective agreement runs to around 150 pages of rules covering working hours, overtime, staggered hours, weekend supplements and work at different times of the day.
When we developed our wage calculator, we used AI to help us work through the agreement and translate the many rules and exceptions into the logic we could build into DORA. The result is a solution where the driver's registered working hours can form the basis for calculating wages and supplements.
So it is not AI that calculates the driver's wages. AI helped us build the tool that does.
The transport industry still has a lot of manual workflows
AI is not yet as widespread in the transport industry as in many other sectors. A 2026 analysis from the OECD (Organisation for Economic Co-operation and Development) shows that 8.1 percent of companies in the "transportation and storage" category in the EU used AI.
At DORA we think that is a shame, because the potential is considerable — particularly when you look at all the workflows where information still has to be found, read and typed manually from one place to another.
And our email order creator is a good example of exactly that.
From an email to an order in DORA
Many transport orders still land in the inbox. Then someone has to open the email, go through the order and any attachments, find the relevant details and type them into the TMS. Once, that is perhaps not a big job. But when it has to be repeated again and again, it takes time.
This is where we use AI directly in DORA. Our AI agent does not just read the text in the email. It also goes through every attachment, finds the relevant details across the material and uses them to create the order in DORA. That means an order can land in the inbox with information spread between the email and several attached documents, without the haulier having to hunt for the details and type them in one by one.
That is the kind of AI use we find interesting: a concrete, manual task from the haulier's working day that the technology can help solve.
We start with the problem
When we develop DORA, we don't start with the technology. We start with the haulier's working day.
DORA is developed in close collaboration with hauliers, dispatchers and drivers. They are the ones who know which tasks take unnecessarily long, what is still done manually, and where workflows can be made simpler.
Those are the problems we want to solve. Sometimes AI is part of the solution. Other times it is an entirely ordinary feature that makes the work easier. What matters most is that we solve a real problem and build something that makes sense day to day.
So what are you still doing manually today that ought to be done more intelligently? That is exactly the kind of challenge we are keen to solve.