Silicon Valley maritime startup Bearing AI has launched a new AI-powered Fleet Deployment Optimizer, used to simulate a vessel’s future emissions and compare the efficiency of different vessels across potential schedules.
The software was developed with feedback from shipping company customer Hapag-Lloyd and is built on Bearing AI’s existing Decision Engine platform.
The system can be used to track the predicted CII (Carbon Intensity Indicator) performance of multiple vessels, accounting for adjustments such as reefer usage, and to simulate emissions performance under different scenarios, predicting the resultant CII score from moving high-performing or more problematic vessels to an alternative service.
Users will also be able to develop on optimal fleet deployment plan based on various objectives, such as minimising the number of vessels receiving CII ratings of D and E across the entire fleet.
“We’re delighted to be working closely with Hapag-Lloyd, a company that’s passionate about the future of this industry. They share our dedication to developing and applying technologies that pave the way for more sustainable operations in this new green era of global shipping,” said Bearing AI Co-Founder and CEO Dylan Keil said.
“Fleet Deployment Optimizer is one of the most significant recent developments in fleet management and it’s just the beginning – we’re excited to unveil its full potential and continue to rapidly innovate with industry-leading customers like Hapag-Lloyd.”
