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Port of Montreal adopts AI technology to measure and reduce the carbon footprint of vessels

The Montreal Port Authority (MPA) and Global Spatial Technology Solutions (GSTS), a Canadian company that specialises in applying artificial intelligence (AI) to shipping, have launched a project to measure and reduce the carbon footprint of vessels using the Port of Montreal that makes the most of artificial intelligence.

Using GSTS’s OCIANA AI platform, the project provides real-time data on the route, speed and position of vessels heading to Montreal. That data is analysed to obtain an accurate estimate of a vessel’s arrival time and adjust its route to coordinate with the availability of berths in the Port of Montreal. This makes it possible for ships to optimise their sailing speed, which in turn reduces fuel consumption and GHG emissions, shortens anchoring time before docking, and benefits operational planning and optimisation.

Ultimately, the digital corridor concept will enable accurate, real-time communication between ports, terminal operators and ocean carriers to improve operational efficiency and decrease GHG emissions.

“OCIANA has been designed collaboratively with ports, shipping lines and terminal operators to improve efficiency, minimise risk and reduce emissions on a global scale,” said Richard Kolacz, GSTS CEO, in a press release. “This proprietary capability will enhance end-to-end logistics management and enable the optimisation of goods delivered by sea, which accounts for 90% of global trade.”

Kim Biggar

Kim Biggar started writing in the supply chain sector in 2000, when she joined the Canadian Association of Supply Chain & Logistics Management. In 2004/2005, she was project manager for the Government of Canada-funded Canadian Logistics Skills Committee, which led to her 13-year role as communications manager of the Canadian Supply Chain Sector Council. A longtime freelance writer, Kim has contributed to publications including The Forwarder, 3PL Americas, The Shipper Advocate and Supply Chain Canada.
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