SMARTShip typically supports 5–10% fuel cost reduction across monitored voyages. This is achieved through three concurrent mechanisms: first, real-time deviation monitoring that alerts operators when actual speed or consumption diverges from the optimised plan; second, AI-driven anomaly detection that identifies asset-level inefficiencies (hull fouling signals, engine performance degradation) before they create sustained overconsumption; and third, by identifying critical inefficiencies and incidents, including redundant generator hours, excessive boiler consumption, blackouts, trips, and compressor underperformance.The combination of live monitoring, predictive intelligence and crew-facing alerts closes the gap between the planned voyage and what actually happens at sea.