Bearing AI data predicts over half of global fleet in danger of receiving a failing CII score

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Just over half of all the vessels in the world fleet are in danger of failing with their first CII (Carbon Intensity Indicator) score at the end of the year, according to a new report by software provider Bearing, which has used AI to determine how CII (Carbon Intensity scores are likely to stack up.

Bearing says its deep-learning platform ingested a vast range of real-world maritime data, including historical weather patterns and positional satellite tracking, and analysed the voyages of over 15,000 vessels during the past year to predict CII scores, suggesting more vessels are likely to receive failing D or E grades requiring corrective action than previously thought.

Key findings include that:
• 51.9% of the global fleet will receive a failing CII score (D or E)
• LNG tankers will receive the best initial rankings
• General cargo carriers will receive the worst

Bearing CEO and co-founder Dylan Keil says that the company’s discussions with ship owners suggest that most vessels will likely resort to slow steaming to meet their CII goals.

The company provides AI-powered software that it says ship owners and managers can use to predict CII ratings in advance with ease and extreme accuracy, allowing them to make data-backed decisions to bring every vessel into compliance. See the report here.

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