Success case

Time and cost
optimisation through
automatic driver

The challenge

Cafler, a start-up in a pre-market investment round, offers the following service: its drivers collect vehicles from addresses of private individuals passing the MOT. They have to perform a daily drive-to-service assignment to meet their customers’ needs.


Automatic allocation of drivers and vehicles through an algorithm-based solution, minimizing waiting times and costs.

Services performed

  • Graph models
  • Graph optimisation
  • Minimum path cover
  • Weighted bipartite graph
  • Flask
  • Data visualisation

Results provided

The solution reached the objectives and has allowed the client to obtain another round of funding.