Bearing AI has announced the addition of new features for its Deployment Planner software, designed specifically for tramp shipping companies.
While the previous version of the software focused on the more predictable operations of liner companies, tramp shipping operators execute one-time contracts between ports of loading and discharge, often making it more difficult to optimise emissions performance while maintaining profitability.
The latest Deployment Planner version addresses these tramp shipping challenges, leveraging AI models to analyse historical and real-time data to provide recommendations.
The software offers insights into the environmental impact of any upcoming contract and allows chartering, operations, and environmental teams to experiment with different vessel deployments to determine the best fit.
The application is built on machine learning models that the company says can predict the end-of-year (EOY) performance for every vessel in a fleet, whether or not they have a contract scheduled, to estimate and optimise vessel emissions.
“Tramp shipping companies face a distinctly different set of operational challenges compared to their liner counterparts,” said Kristofer Maanum, Senior Product Leader at Bearing AI.
“Our new Deployment Planner is designed to provide the same level of precise, real-time insights for tramp operators, ensuring they can make informed decisions that maximise both efficiency and sustainability, regardless of the variability in their contracts.”
