The shipping industry is undergoing a transformative shift with the advent of AIS-based analytics, challenging traditional vessel selection methods. High-fidelity AIS data from platforms like Kpler is revolutionizing how charterers hire vessels on time charters. This data provides continuous, independently verified performance data, a stark contrast to the limited information traditionally relied upon by chartering teams.
Historically, charterers have based their decisions on CP specifications, class records, recent inspections, and broker indications. However, these factors fall short in capturing the true performance of vessels. CP specs, for instance, reflect design intent rather than current condition, and owners often fail to disclose gradual performance degradation between dry docks. As a result, vessels often operate 5-15% above warranted consumption, especially after extended periods without dry docking.
This discrepancy in data leads to significant risks for charterers. Two vessels with similar rates can exhibit vastly different fuel consumption profiles, with the charterer bearing the brunt of the performance risk. This is where AIS-based analytics steps in, offering a solution to this long-standing challenge.
AIS, through its high-frequency tracking of speed over ground and precise location data, combined with local weather information, can differentiate between a vessel's actual activities and the impact of weather conditions. This capability enables charterers to filter for calm weather, identify hull fouling, and detect engine degradation. Furthermore, it allows for the tracking of performance degradation over extended periods, providing insights into the fouling curve between dry docks.
The implications of this technology are far-reaching. Charterers can now compare vessels on the same route and under identical conditions, pinpointing clear speed and fuel consumption disparities. They can also assess fouling risk by analyzing the time vessels spend in warmer, fouling-prone tropical waters. This creates a timestamped, independent evidence base for speed and consumption claims, even before the hire is finalized.
By integrating AIS-based benchmarking, technical teams can transition from reacting to underperformance after the fixture to screening vessels before committing to a time charter. This proactive approach not only cuts invisible fuel costs but also tightens hire rate risk. The shipping industry is witnessing a paradigm shift, and AIS-based analytics is at the forefront of this transformation, offering a more efficient, safer, and cost-effective future for vessel selection and management.
