Bearing AI, the AI Decision Engine for the maritime industry, has launched an AI-powered Fleet Deployment Optimizer. This industry-first product was developed with in-depth feedback from leading global shipping company, and Bearing AI customer, Hapag-Lloyd, according to the company's release.
Built on Bearing AI’s Decision Engine platform, the Fleet Deployment Optimizer helps customers accurately simulate future emissions and instantly compare the efficiency of different vessels across potential schedules. This tool helps customers maximize environmental compliance while still considering service requirements, fleet composition and other critical business needs.
Fleet Deployment Optimizer helps companies do the following:
Easily track the predicted CII (Carbon Intensity Indicator) performance of multiple vessels in one simple view, accounting for adjustments such as reefer usage
Accurately simulate emissions performance under different scenarios, predicting the resultant CII score from moving high-performing or more problematic vessels to an alternative service
Determine the optimal fleet deployment plan based on various objectives: e.g., minimizing the number of vessels receiving CII ratings of D and E across the entire fleet
Innovation for the future of maritime shipping
With a fleet of 258 modern container ships and a total transport capacity of 1.9 million TEU, Hapag-Lloyd is one of the world’s leading liner shipping companies. The Company has around 14,000 employees and 400 offices in 135 countries. Hapag-Lloyd has a container capacity of 2.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 115 liner services worldwide ensure fast and reliable connections between more than 600 ports on all the continents. Hapag-Lloyd is one of the leading operators in the Transatlantic, Middle East, Latin America and Intra-America trades.