Route Optimization for Logistics

ElderByte – Route Optimization for Logistics

From map and pencil to optimized algorithm – route planning that computes.

Industry Energy, Logistics & Sustainability
Services Data Engineering
Period 2022–2024

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

Python Gurobi Operations Research

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.

Client