Reduce CO2 emissions quickly and effectively with AI
-30%
reduction of unplanned downtime
-25%
reduction in response time to customer requests
-15%
reduction of CO2 emissions linked to transport
4
weeks of development
Context
International shipping companies face the complex management of their fleets of ships spread across various shipping lines. The issues maintenance or adaptation to loading volumes require significant responsiveness. It has become essential to avoid any disruption in the supply chain, as well as to respond to major environmental challenges linked to greenhouse gas emissions.
Solution
Our solution is based on advanced optimization of ship fleets, integrating parameters such as their consumption, their capacity, their location and their route. It also takes into account essential constraints, such as maintenance schedules and temporary unavailability of certain vessels. Our optimization algorithms identify the most optimal response to make in a critical situation.
Benefits
- Reduction of break time, of the logistics costs and penalties for a greater operational efficiency
- Reduction of the overall environmental impact of your business thanks to more efficient route management
- Improving your competitiveness responding more quickly to changing customer and market demands
- Increased adaptation to crisis situations …
Customer cases that may interest you
- Customer Case
