Challenge
Transportation companies often plan routes manually using maps and experience. With dozens of vehicles and hundreds of stops, this is inefficient, expensive, and produces unnecessary emissions.
Solution
- Optimization algorithm for CVRPTW (Vehicle Routing with Time Windows)
- Automated, predictive route planning
- Flexible constraints for operational flexibility
Our Contribution
- Development of optimization algorithm for CVRPTW (Capacitated Vehicle Routing Problem with Time Windows)
- Modeling of constraints and objective functions
- Integration with Gurobi Solver
- Connection to existing logistics systems
Technologies
Results
The algorithm finds routes that humans can't see – saving time, kilometers, and CO₂. The solution is now integrated into daily operations.
Developed with Gurobi – we are an official Swiss partner.


