Discover the weaknesses of traditional planning models in TSL and see why they lose effectiveness and scalability as operational complexity grows.
Published:
Last updated:
Reading time: 3 minutes
In this episode of ONYX PRO, we showcase what the “person-as-a-department,” departmental, and geographical models looked like—and why they lead to chaos and a lack of scalability. Discover how understanding their limitations opens the door to the modern ONYX Competency Model.
Which of the traditional models—geographical, departmental, or “person-as-a-department”—do you currently observe as the biggest bottleneck in your fleet’s growth?
Piotr Zielinski
TSL Expert
Supports carriers in road regulations, telematics, and safe implementation of regulatory changes.
These are approaches based primarily on manual work, individual experience, and limited data visibility. In highly volatile market conditions, such models quickly lose effectiveness and scalability.
Common signs include overwhelmed dispatchers, frequent route adjustments, poor cost predictability, and a lack of a consistent work standard. This signal suggests decisions are not based on real-time operational data.
Manual planning increases vulnerability to errors, delays, and unprofitable order acceptance. Additionally, it hinders quick responses to changes in costs and road conditions.
First, map current processes and identify areas of greatest time and margin loss. Then, implement decision standardization and tools supporting planning step-by-step.
Key indicators include cost per kilometer, punctuality, fleet utilization, and margin per order. Regular measurement of these KPIs shows whether the change translates into real operational improvement.
