Eastern Pacific Shipping (EPS) and award-winning maritime AI specialist DeepSea Technologies have achieved a significant milestone in vessel performance optimisation, delivering weekly fuel consumption forecasts accurate to within 0.8% after a six-month collaborative project. This marks a leap forward in predictive accuracy compared to conventional methods.

The breakthrough was enabled by leveraging real-time sensor data from EPS’s fleet and DeepSea’s advanced AI-driven platform, Cassandra. The collaboration has empowered EPS to improve vessel operations, enhance maintenance scheduling, and provide chartering teams with more reliable speed and consumption warranties.

The initiative focused on building and deploying advanced digital twins—AI-generated models that offer an up-to-date understanding of vessel behaviour. The twins were validated using empirical and statistical methodologies to ensure their accuracy. As a result, EPS now benefits from precise vessel behaviour models, fuelling improved operational decisions across its diverse 300-vessel fleet, which includes tankers, bulk carriers, PCTCs, containerships, and gas carriers.