Smart Performance
Fleet intelligence that reveals the true performance of every vessel, every voyage.
Smart Performance is a fleet-wide analytics and benchmarking platform that transforms raw operational data into actionable intelligence. By normalizing vessel performance against hydrodynamic baselines, weather conditions, and cargo states, the platform reveals the true efficiency of each vessel — separating the signal of genuine performance degradation from the noise of environmental variability. At its core, Smart Performance implements ISO 19030 hull and propeller performance analysis, continuously tracking the gap between expected and actual fuel consumption to quantify fouling impact and guide optimal hull cleaning scheduling. Beyond hull performance, the platform benchmarks speed-consumption curves, engine efficiency, and auxiliary power usage across the fleet, identifying vessels and operational patterns that underperform their potential. The platform's fleet benchmarking capabilities enable operators to compare vessel performance across sister ships, trade routes, and time periods — surfacing best practices from top-performing vessels that can be replicated fleet-wide. CII trajectory modeling provides forward-looking projections of each vessel's annual efficiency rating, enabling proactive operational adjustments to maintain or improve ratings before the year-end assessment. Integration with Smart Navigation and Smart EMRV creates a closed-loop performance management system from route planning through emissions reporting.
6-10
%
Fleet Fuel Savings
3.2x
average
Hull Cleaning ROI
1,200+
globally
Vessels Benchmarked
50M+
per month
Data Points Analyzed
Key Capabilities
ISO 19030 Hull Performance Monitoring
Continuously tracks hull and propeller performance degradation using ISO 19030 methodology. The platform calculates speed loss and excess fuel consumption attributable to biofouling, providing data-driven hull cleaning recommendations that optimize the trade-off between cleaning costs and fuel savings. Historical trend analysis reveals fouling patterns across different trading routes and seasons.
Speed-Consumption Curve Analysis
Constructs and continuously updates vessel-specific speed-fuel consumption curves using machine learning models trained on actual voyage data. By normalizing for weather, draft, trim, and current conditions, the platform reveals each vessel's true propulsive efficiency and identifies optimal operating speeds for different sea states and cargo configurations.
Fleet Benchmarking & Peer Comparison
Ranks vessels against sister ships, fleet averages, and industry benchmarks on key efficiency metrics including EEOI, fuel intensity, and CII attained. Interactive comparison tools highlight the operational and technical factors driving performance differences, enabling best-practice transfer from top performers to underperforming vessels.
CII Trajectory & Rating Projection
Models each vessel's Carbon Intensity Indicator trajectory based on year-to-date performance and projected future voyages. The platform predicts the year-end CII rating with confidence intervals, flagging vessels at risk of falling to a D or E rating with sufficient lead time to implement corrective measures such as speed reduction, voyage optimization, or technical upgrades.
Engine & Machinery Efficiency Tracking
Monitors main engine SFOC, generator fuel consumption, boiler efficiency, and auxiliary system performance against manufacturer baselines and fleet averages. Degradation trends trigger predictive maintenance recommendations coordinated with Smart Operation, ensuring machinery operates at peak efficiency throughout its service life.
How It Works
Establish Performance Baselines
The platform ingests sea trial data, model test results, or historical voyage records to establish vessel-specific performance baselines. Machine learning algorithms construct multi-dimensional performance models that account for speed, draft, trim, sea state, wind, current, and water temperature — creating a precise reference against which actual performance is measured.
Continuous Data Collection & Normalization
As voyage data flows in from noon reports, AIS, sensors, and Smart EMRV, the platform normalizes raw observations to standard reference conditions. This removes environmental variability and reveals the underlying performance trends that matter — hull fouling, engine degradation, and operational efficiency patterns.
Analyze, Benchmark & Alert
The analytics engine continuously updates performance metrics and rankings. When a vessel's performance deviates significantly from its baseline or peers, automated alerts notify the relevant teams with root-cause analysis. CII trajectory projections update weekly, ensuring proactive rather than reactive compliance management.
Drive Operational Improvement
Actionable recommendations — hull cleaning timing, trim optimization settings, speed profile adjustments — are pushed to vessel masters and fleet managers through the platform. Post-intervention analysis quantifies the actual performance improvement achieved, building an evidence base for future investment decisions.