Fleet-Wide Fuel Optimization for Major Tanker Operator

A major European tanker operator managing 24 product and chemical tankers was facing rising bunker costs and increasing pressure to reduce emissions. Traditional voyage optimization tools were providing limited insights, and the technical team lacked visibility into real-time vessel performance across the fleet. DeepBlue Analytics deployed our AI-powered vessel performance platform across all 24 vessels over a 3-month period. The system integrates noon reports, AIS data, weather information, and onboard sensor data to create a comprehensive performance picture. Key implementations included: - Real-time fuel consumption monitoring with automated alerts for deviations - Weather routing optimization integrated with commercial scheduling - Propeller and hull performance degradation tracking - Predictive maintenance alerts for main engine and auxiliaries - Fleet-wide benchmarking dashboards for shore operations Within 12 months, the operator achieved verified fuel savings of 8.5% compared to the baseline year. The predictive maintenance module identified early-stage turbocharger issues on two vessels, preventing potential failures that would have required expensive repairs and off-hire time.