Bearing AI has unveiled an enhanced Deployment Planner tailored for tramp shipping companies following the success of its liner shipping version. Unlike liners, tramp operators manage one-off contracts between ports, posing challenges for emissions optimisation and profitability.

The latest tool leverages advanced AI to analyse extensive historical and real-time data, offering actionable insights into critical operational issues. It allows chartering, operations, and environmental teams to experiment with vessel deployments, optimising environmental impact and profitability.

Built on robust machine learning models, the Deployment Planner predicts end-of-year performance for every vessel, even those without scheduled contracts. The aforementioned capability provides deep insights into emissions management, enabling tramp operators to achieve superior performance amidst dynamic scheduling.

Kristofer Maanum, Senior Product Leader at Bearing AI, highlighted the tool's significance for tramp operators, facilitating informed decisions that balance efficiency and sustainability across varied contract scenarios. The Deployment Planner emerges as a crucial asset for managing fleet efficiency, mitigating compliance risks, and optimising operational costs in tramp shipping.

Moreover, in a related development, Amazon has expanded its AI tools for European sellers, showcasing the broader trend of AI's impact across diverse sectors of global commerce.