An overview of planning models in TSL: from traditional approaches to modern ones based on data and AI. Find out which model best supports profitability.
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In this ONYX PRO series, we show how the industry has tested various models over the last 30 years - from individual and departmental to geographical - and why none of them ensured stable growth. You will also learn about the ONYX competency model - a modern methodology that brings factory logic to the world of transport: clear roles, KPIs, artificial intelligence, and full process scalability.
Piotr Zielinski
TSL Expert
Supports carriers in the field of road regulations, telematics, and safe implementation of regulatory changes.
The material refers to individual, departmental, and geographical approaches, which were used as successive stages of work organization. A common problem with these models was the difficulty in maintaining scalability and consistent decision quality.
A key barrier was the lack of a consistent division of responsibility and the lack of process measurability. As the number of orders and operational exceptions grows, models based mainly on the experience of individual people become prone to chaos and downtime.
The model is based on clear roles, KPIs assigned to functions, and AI support in planning and rescheduling orders. As a result, decisions are more repeatable, easier to audit, and faster in daily operational work.
First, responsibility for data, plan, execution, and result control must be defined, and then metrics must be assigned to these areas. AI serves here as decision support, but business responsibility remains with the team.
In practice, it is worth measuring punctuality, empty kilometers, margin per order, response time to change, and fleet utilization. These indicators allow for a quick assessment of whether an organization is moving from intuitive action to a predictable process.
