JapanLogistics and transport2024 – ongoingMitsui O.S.K. Lines
Wayfinder voyage optimization
MOL reported about 6% lower fuel use and emissions per voyage in Wayfinder trials
Problem
MOL sought to reduce fuel consumption and greenhouse gas emissions through more efficient navigation.
Approach
MOL tested Sofar Ocean's Wayfinder on operating vessels before deciding to expand its use. The platform supplied daily speed and route recommendations using weather forecasts and vessel-performance models, subject to commercial and safety constraints. Sofar described machine learning as part of its vessel modeling.
Results
Takeaway
MOL tested the recommendations on operating ships before approving broader deployment. The reported average saving described the trial rather than a guaranteed result for every voyage.
Categories
- Size
- Large enterprise
- Industry
- Logistics and transport
- Business function
- Production and qualityLogistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Vendor solution
- Evidence
- Company's own claim
Sources
Source summaries
MOL reported average fuel and emissions reductions of about 6% per voyage in trials involving 40 vessels. It decided to introduce Wayfinder more widely across group-operated ships.
Sofar described the underlying Wayfinder engine in a product announcement. Its vessel models combined physical modeling with machine learning updated from operational reports.
Full details are in the original sources.
