Case Study: DeepSea Improves Voyage Fuel Prediction with Spire Weather Data

DeepSea - Customer Case Study

DeepSea, an AI-powered voyage optimization maritime company, partnered with Spire to improve its vessel-specific performance models using highly accurate ocean weather data. The team needed better visibility into wind, waves, currents, and other nautical conditions to predict how weather affects fuel consumption, especially given the limited and inconsistent observations available across the open ocean.

By adding Spire’s weather data into its predictive voyage planning algorithm, DeepSea gained global ocean coverage and better trained its AI-powered optimization models. The result was a clearer understanding of how wind impacts ship performance, with measurable fuel consumption increases of 8% under moderate winds and up to 20% under stronger winds.

DeepSea

Symeon Chatzigeorgiou

Business Director