Success case
Time and cost
optimisation through
automatic driver
assignment
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.
Objectives
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.