Wallenius Wilhelmsen
DeepSea AI recommendations for vessel routes and speed
Wallenius Wilhelmsen tested AI voyage recommendations with expected fuel savings of up to 10%
Problem
Wallenius Wilhelmsen needed to reduce fuel consumption from its existing vessels. Captains had to choose routes and speeds as sailing conditions changed.
Approach
The company worked with DeepSea to test and develop vessel-performance software over 18 months before September 2022. Sensor readings and weather forecasts fed AI models that supplied route and speed instructions to captains. A fleet-wide rollout remained ahead.
Results
Takeaway
The expected fuel saving was not a measured fleet-wide result. Captains received recommendations derived from vessel data and forecast conditions.
Categories
- Size
- Large enterprise
- Industry
- Logistics and transport
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
The company described testing AI voyage recommendations with DeepSea. It forecast fuel savings of up to 10% while preparing larger-scale operation.
Full details are in the original sources.