Ardmore Shipping, owner and operator of chemical and product tankers, will equip its fleet with the AI-driven voyage optimization tool Pythia, which is developed by the maritime AI company and energy efficiency experts, DeepSea Technologies. 

The implementation of Pythia across Ardmore’s fleet will enable AI driven insights that will help the ship owner to meet the goals of its Energy Transition Plan (ETP) while driving business performance.

During the first year of their partnership, which involved a full-scale trial of the technology on Ardmore vessels, DeepSea and Ardmore collaborated to refine a series of algorithms powered by DeepSea’s AI-generated vessel behaviour models, coupled with Ardmore’s extensive historical data.

This breakthrough allows an AI approach to be used within the context of tramp trade. Outcomes of this 12-month collaboration saw a promising decrease in fuel consumption and, in turn, emissions.

Ardmore’s ETP guides its approach to increasing efficiency through the trial and implementation of a range of readily available maritime technologies and fitting these together to achieve optimal performance of its fleet.

To date, Ardmore has invested in fuel-efficient engines, advanced hull designs, and a vast array of other technologies that optimise fuel consumption and reduce emissions. These technologies will now be complemented by DeepSea’s voyage optimisation services.

The optimisation of non-liner trade is challenging due to operational obstacles that include uncertain arrival times and frequently-changing destinations. With defined contracts, owners and operators of tramp vessels have historically faced little pressure to adopt technologies to optimise vessel performance.

Ardmore’s partnership with DeepSea sees the company expanding this approach, with the introduction of AI-driven insights that are dynamically updated based on the high-frequency data streamed from on-board sensors.

Source: DeepSea Technologies.