Conquering Monsters – Digital Technologies in Transport


When I was a young boy, I was afraid of monsters. They were dark and scary and unknown. As I grew up, I learned to embrace my fears because they challenged me to improve myself and helped develop new perspectives.

Today, if you were to ask anyone what AI is, you would probably get 3 groups of answers:

  1. For those old enough to remember, they would probably say the 2001 Spielberg movie about David, a robotic boy programmed to love
  2. People slightly younger might say it is making computers do human tasks better and faster
  3. However, millennials would talk animatedly about machine learning, deep neural networks and natural language processing.

In the transport industry, regrettably, there are far more people and organisations who see AI as science fiction… a big scary monster and very few who are willing to embrace it fully.

For those in fear, there are a host of companies who seek to make the supply chain more efficient by, for example, improving document management systems, making existing systems faster or providing semi-automated or manual add-ons.



TGMatrix recognises this fear and seeks to remove the darkness that shrouds the use of technology in the industry.

Although it has a vision for a future of totally digital freight solutions that use self-learning algorithms, human voice reactive integration plus predictive and on-the-fly decision making (think of Amazon’s Alexa but for Freight!), TGMatrix has developed an award-winning digital freight matching platform that meets in the ground between where most players are now and an AI future.

Matrix, a highly automated, decision-making matching engine, matches transport demand and supply across road, rail and waterways in near real time, either via:

  • machine to machine (thus breaking the link between scalability and human resources)
  • manually via a secure customer portal
  • or a combination of both whereby users can export from proprietary systems and import data into the Matrix system (and vice versa).

The engine takes account of the myriad computations considered during the manual matching process and allows weighting for Congestion and CO2e as well as price, time, performance and potential possibilities for modal shift.

With its growing community of shippers and carriers, TGMatrix is not only de-risking the use of technology but leading the next revolution and bringing the industry firmly into the digital age.


Here at TGMatrix we work with shippers and carriers to develop better digital solutions – whether that’s by supporting them in understanding a digital approach, leveraging AI opportunities or implementing alternative supply chain strategies. So why not take part in the revolution, join the community and conquer the monsters that have long frightened our industry.

Supply Chain Handshake

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