The Essential Onboard Information Source

Telematics as the decisive data layer in transport

Jürgen Fazeny, telematics specialist and contributor to Traktuell, has spent years analysing the intersection of logistics operations and connected vehicle technology. His perspective, captured in this interview, is that telematics has long since moved past its origins as a simple location-tracking tool. It has become the central information source for decisions that determine logistics efficiency at every level.

The phrase he uses is precise: telematics is “an indispensable informant who provides the decisive data.” Not supplementary data. Decisive data.

Empty mileage: the industry’s persistent cost problem

Empty mileage, trucks running without cargo, has been one of the defining cost inefficiencies in road transport for decades. The technology response has evolved in stages: barcodes gave way to RFID transponders, which gave way to GPS tracking. Each step increased the precision and timeliness of location data available to dispatchers.

The current frontier, Fazeny observes, is integration: combining real-time position data with load carrier tracking, dynamic load allocation platforms, and remaining driving time information to eliminate empty runs at the point of decision, not after the fact. Dispatchers who can see remaining driving time, next rest break, and current position simultaneously make fundamentally better allocation decisions.

AI: from computation to control

The next step in telematics is artificial intelligence applied to computation-intensive logistics processes. Route optimisation, load matching, predictive maintenance, and demand forecasting are all domains where AI can compress the time between data and decision.

Fazeny’s view is that telematics serves as the data foundation for this AI layer: it provides the real-time operational data that makes AI models useful in practice. Without accurate, current data on vehicle position, operational status, and driver availability, AI forecasting has nothing reliable to work with. Telematics is the prerequisite, not an add-on.

Autonomous driving: the constraint removal that changes everything

Autonomous driving will remove the primary constraint that structures current logistics planning: mandatory driving and rest periods for human drivers. When the constraint disappears, the entire scheduling logic of road transport changes. Load allocation platforms will operate continuously. Empty run decisions will be automated. The informational requirements for that shift are already being built into telematics platforms today.

Container tracking: security and condition monitoring

Asset tracking extends beyond vehicles. Battery-powered GPS trackers for containers and load carriers enable real-time position monitoring without a vehicle connection. Geofencing triggers immediate alarms when a container leaves a defined zone. Integrated sensors add condition monitoring: light sensors detect unauthorised opening, crash sensors flag handling damage, and temperature and humidity sensors protect sensitive cargo.

The informational chain from vehicle to container to cargo is complete. That completeness is what turns telematics from a tracking tool into a genuine operational intelligence platform.