Bearing AI has introduced enhanced capabilities to its Deployment Planner tailored specifically for tramp shipping companies, aiming to address the unique challenges faced by operators in this sector.
Unlike liner shipping, where routes are fixed and predictable, tramp shipping involves one-off contracts between ports, posing significant challenges in optimising operational efficiency and environmental impact.
The updated Deployment Planner leverages advanced AI models to analyse extensive historical and real-time data. This analysis provides actionable insights into key operational challenges, empowering chartering, operations, and environmental teams to make informed decisions.
READ: MOL and Bearing develop AI-powered smart engine
Kristofer Maanum, Senior Product Leader at Bearing AI, highlighted the significance of these advancements: “Tramp shipping companies face distinct operational challenges. Our new Deployment Planner ensures they can make informed decisions that maximise efficiency and sustainability.”
Key features of the Deployment Planner include predicting end-of-year (EOY) performance for each vessel, irrespective of their contractual status. This capability enables operators to manage emissions and profitability effectively amidst fluctuating schedules.
READ: Bearing AI, Hapag-Lloyd launch AI-powered vessel emissions tracker
The tool also facilitates strategic vessel deployment based on potential routes, fuel efficiency, and regulatory compliance. This capability supports operators in balancing environmental considerations with commercial objectives while managing the variability inherent in their contracts.
Furthermore, the Deployment Planner aids in emissions management by forecasting emissions across different deployment scenarios. This feature helps operators select routes and schedules that minimise environmental impact, aligning with international regulations.
Earlier this year, Bearing AI updated its Fleet Deployment Optimizer (FDO) solution that promises to revolutionise how shipping companies manage emissions.
