Intelligent planning for efficiency on the road.

Bertani Trasporti, an Italian leader in logistics for cars and commercial vehicles, tasked Optit with optimising one of the most elaborate processes in the sector: travel and resource planning (vehicles and drivers).

When it comes to vehicle transport, efficiency is measured not only in kilometres but in every detail: in loads, in models shipped and in the capacity of each individual transporter. The challenge is to maximise capacity, reducing unnecessary travel and ensuring punctuality, quality of service and constant monitoring.

With a bespoke logistics platform, integrated with internal systems such as TMS, GPS and fleet tracking, Optit brought AI to the heart of Bertani’s operating model.

We developed a dedicated algorithm that combines:

• machine learning to learn from historical data and the operational choices of users;
  
• advanced mathematical models for real-time management of vehicle mixes, operational constraints and delivery times;
  
• a system in constant evolution, where user modifications to platform-generated load plans progressively improve load configurations.

These are some of the results:

• the full integration of historical analysis with current strategy;
  
• greater vehicle saturation and reduction of operating costs;
  
• pick-up optimisation that makes even complex journeys easy to manage.

The Bertani project is an exemplary case of integration between human knowledge and algorithmic power, where technology becomes a lever to enhance operational experience and drive greater efficiency.