Genes Diffusion Optimizes Delivery Routes and Reduces Carbon Footprint with Nomadia TourSolver
Genes Diffusion, an expert in animal genetics, optimizes artificial insemination collection routes with TourSolver, supporting livestock farmers.
Context: A Major Logistical and Environmental Challenge
Genes Diffusion is a key player in the distribution of specialized products, operating across a dense network of clients and points of sale. Every day, its field teams manage a large number of deliveries while adhering to strict deadlines. In this context, efficient route planning is essential to ensure customer satisfaction, control costs, and reduce the environmental footprint.
To address these challenges, Genes Diffusion chose Nomadia TourSolver, Nomadia’s solution specialized in route optimization and field operations planning, with an integrated focus on decarbonizing transportation.
Why Genes Diffusion Chose Nomadia TourSolver
The logistics and operations teams had clear objectives:
- Optimize delivery routes to reduce travel time and increase team efficiency
- Plan interventions and deliveries precisely according to client constraints and field availability
- Reduce environmental impact through shorter, more balanced routes
Before Nomadia TourSolver, route planning relied on manual methods or generic tools poorly adapted to field-specific requirements. The result was inefficient travel, uneven workload distribution, and a high carbon footprint.
Nomadia TourSolver was selected for its ability to automate and optimize all routes while providing flexibility and visibility to field teams.
Concrete Benefits for Genes Diffusion
Since adopting Nomadia TourSolver, Genes Diffusion has seen significant improvements in team organization and operational management:
- Route Optimization for Greater Efficiency
Using advanced algorithms, TourSolver automatically calculates the most efficient routes while considering time constraints, client priorities, and vehicle capacities. Teams spend less time on the road, boosting productivity and improving delivery punctuality.
- Simplified and Flexible Planning
The solution allows precise route plans and easy adjustments in case of unexpected events: delays, absences, or urgent new orders. Planners gain a global view and can react quickly to ensure service continuity.
- Decarbonizing Deliveries
TourSolver directly contributes to reducing carbon emissions: by minimizing mileage and optimizing vehicle use, Genes Diffusion lowers CO₂ emissions and fuel costs. This aligns with a concrete and ambitious CSR strategy.
- Enhanced Visibility and Field Team Monitoring
Managers have access to a comprehensive dashboard to track interventions in real time, identify high-density zones or imbalanced routes, and generate reliable reports to improve overall performance.
A Strategic Solution for the Future
With Nomadia TourSolver, Genes Diffusion doesn’t just optimize current routes: the solution adapts to future needs. Algorithms can integrate new constraints such as electric vehicles, increased delivery volumes, or evolving client time windows.
The company now benefits from a scalable tool that balances operational performance, customer satisfaction, and environmental responsibility.
Why Nomadia?
Genes Diffusion chose Nomadia for its expertise in field logistics and its ability to deliver solutions that are both high-performance and easy to deploy. With Nomadia TourSolver, the company:
- Optimizes routes and planning
- Reduces environmental impact through route decarbonization
- Improves productivity and service quality
- Gains a scalable solution to anticipate future needs
Conclusion: Optimize to Perform and Reduce Carbon Footprint
Genes Diffusion demonstrates how technology can transform field logistics. With Nomadia TourSolver, the company optimizes routes, plans interventions efficiently, and reduces environmental impact, all while increasing productivity and customer satisfaction.
This approach proves that operational performance and environmental responsibility can go hand in hand through intelligent planning and continuous route optimization.