AI for Trucking

Basic software is still important for trucking, such as for connectivity, visibility, and order management. But we think that artificial intelligence will change the competitive landscape by multiplying the value of the data those systems collect. In the sections below we lay out our view on five relevant AI topics to help explain our vision for how it applies to trucking.

What is AI in the trucking context?

What distinguishes AI software from what might just be called automation? And why is AI relevant to the trucking sector? Tell me more...

How, specifically, is TNX building AI?

Small-data, domain-focused, and above all practical. We typify an age of implementation: getting algorithms to work on everyday problems. Tell me more...

What is AI's relationship to workers?

Not all intelligence is artificial. AI is here to serve transport planners with near limitless memorisation and computation, and then let them make meaningful choices. Tell me more...

Will an AI for Trucking replace the TMS?

The TMS isn’t artificial intelligence, and AI isn’t a TMS. We expect AI to be a multiplier on "systems of record" like the TMS or master data management. Tell me more...

How important is it that actions of an AI are easily understood by people?

There is consistent demand that software justify its plans in terms humans can understand. Reasons matter, and AI needs to not just outperform people but also help them make sense of the world. Tell me more...