Smart Transport Solution Route Optimization
About the Client:
Global Energy corporation; Supply & Trading company
Client have fleet of crude ships delivering the crude across the geographies Client wanted to find the optimized routes based on weather conditions, vessel capacity, delivery locations, crude prices and various other factors Client also wanted vessel optimization based on customers delivery location.
- Route and volumetric optimization provided to client using Data Science algorithms.
- A combination of clustering, nearest neighbor and Metaheuristic algorithms were used to come up with a model for optimization.
- A web based front end was provided to business users for day to day scheduling and see the optimized routes
- Savings on fuel cost.
- Improved Vessel utilization.
- Hassel free Route Planning that Saved Time.
- Machine Learning Algorithm based Solution
- Savings on fuel cost. That’s a big saving given the crude ships consumes lots of fuel.
- Improve vessel utilization by clubbing the crude delivery
- Hassle free route planning/ Saved time on Route planning: Business users need not to scratch their heads on daily basis to find out best routes for delivery scheduling.
- Machine learning algorithm gets more efficient day by day because of self learning with new data on daily basis
Global Energy corporation
February 28, 2019