The shipping industry is undergoing a transformative shift as high-fidelity AIS data from platforms like Kpler challenges traditional vessel selection methods. Charterers, who traditionally rely on limited data such as CP specifications, class records, and broker indications, are now turning to AIS-based analytics for a more comprehensive understanding of vessel performance.
One of the key advantages of AIS data is its ability to provide continuous, independently verified performance data. While CP specs reflect design intent, they fail to capture the actual condition of vessels, especially after dry docks. AIS, on the other hand, tracks speed over ground with precise latitude and longitude, and when combined with local weather data, it can distinguish between vessel performance and environmental factors.
This enables charterers to make more informed decisions by filtering for calm weather conditions and isolating hull fouling or engine degradation. They can also track performance degradation over extended periods, observing the fouling curve between dry docks. This level of detail allows for a more accurate comparison of candidate vessels on the same route and under the same conditions, helping to identify clear speed and fuel consumption gaps.
Moreover, AIS-based benchmarking creates a timestamped, independent evidence base for speed and consumption claims before the hire is even completed. This shift from reacting to underperformance after the fixture to screening vessels before committing to a time charter is a game-changer. By doing so, charterers can cut invisible fuel costs and tighten hire rate risk.
In my opinion, the integration of AIS-based analytics in vessel selection is a significant development in the shipping industry. It empowers charterers with more accurate and comprehensive data, leading to better decision-making and reduced risks. As the industry continues to embrace digital transformation, this shift towards data-driven vessel selection is a step in the right direction, ensuring a more sustainable and efficient future for shipping operations.
