More than 6 million trucks move across European roads every day. Each one carries not just freight, but also a multitude of decisions. These include when to leave, which route to take, how much to load and when to stop. Multiply that by the number of supply chains on the planet and you begin to understand why logistics has always been more about managing the staggering complexity of how things move than about moving things.
Transmetrics, based in Bulgaria, was founded by Asparuh Koev, Anna Shaposhnikova, Alexander Petkov, and Rado Nikolov. After having worked inside the world's largest freight networks and understood a specific problem, they realized that the bottleneck was not information, but interpretation. Logistics planners were not lacking data, they were overwhelmed by it and forced to rely on instinct when making decisions involving hundreds of variables simultaneously.
What distinguishes the platform is how AI is used to bridge two kinds of computational thinking. Classical machine learning models, trained on historical freight data, network structures and demand cycles, are precise and extremely effective at finding optimal solutions. Large language models then make that intelligence accessible to humans by enabling them to query scenarios, challenge assumptions, and understand not just what the system recommends, but also why. Machine precision and human intuition combined.
This points to something deeper. The most powerful role of AI in logistics is not automation but translation between ways of organising thought. A logistics network is a formal system of nodes, routes and costs, whereas the humans who manage it, think in terms of priorities, risk tolerances and experience. Transmetrics breaks down that barrier by meeting the planner where they are rather than forcing them to think like a machine.
According to Transmetric, companies using the platform have seen transportation costs fall by up to 25%, alongside measurable gains in efficiency and sustainability. In a sector where margins are slim and day to day hurdles are constant, the ability to plan further ahead, more accurately and at greater scale is becoming a competitive edge..
Sources: Transmetrics / Crunchbase