Smart Shipping provides an AI-powered weather routing and performance optimization tool designed to improve the operational efficiency of maritime transport while reducing its environmental impact. The company’s core service calculates the most fuel-efficient route between two ocean points by using advanced mathematical models to simulate the effects of waves, currents, and wind on a specific vessel. This can result in fuel savings of 2% to 10% and a significant reduction in CO2 emissions. The system leverages evolutionary optimization algorithms and gradient descent variational methods to determine the optimal route based on user-defined criteria. With oceanographic and weather data updated daily from major providers, the optimal route is recalculated every day for each specific vessel. The technology is aimed at helping the shipping industry meet the International Maritime Organization’s (IMO) increasingly strict regulations on greenhouse gas emissions, which mandate a 40% reduction by 2030. The platform not only offers economic benefits, with potential fuel savings of up to one million dollars per year for a single large container ship, but also enhances crew safety by avoiding dangerous weather zones. The startup was developed within Incubazul, a blue economy accelerator. One of the key personnel is Javier Jiménez de la Jara, the head software developer, who holds a Master’s in artificial intelligence. Keywords: weather routing, maritime optimization, fuel efficiency, vessel performance, emissions reduction, AI shipping, route optimization, maritime logistics, green shipping, shipping software, ocean data analytics, fleet management, sustainable shipping, cost saving shipping, maritime safety
