{"id":994,"date":"2022-06-13T22:22:52","date_gmt":"2022-06-13T22:22:52","guid":{"rendered":"https:\/\/www.digicrest.com\/CLIENTS\/MOBIZ\/WP\/?p=994"},"modified":"2022-07-09T07:10:30","modified_gmt":"2022-07-09T07:10:30","slug":"ai-in-shipping-areas-to-watch-in-2020","status":"publish","type":"post","link":"https:\/\/www.digicrest.com\/CLIENTS\/MOBIZ\/WP\/ai-in-shipping-areas-to-watch-in-2020\/","title":{"rendered":"AI in shipping: areas to watch in 2020"},"content":{"rendered":"

[vc_row][vc_column width=”1\/1″][vc_column_text uncode_shortcode_id=”518583″]Editor\u2019s note: This is a re-post of an article from ship-technology.com<\/a>[\/vc_column_text][vc_column_text uncode_shortcode_id=”229781″]The buzz around artificial intelligence continues to proliferate, with shipping companies beginning to explore AI\u2019s potential in predictive maintenance, intelligent scheduling and real-time analytics. Here is a round-up of five specific areas set to benefit from artificial intelligence in 2020.[\/vc_column_text][vc_single_image dynamic=”yes” media_width_percent=”100″ uncode_shortcode_id=”179329″][vc_column_text uncode_shortcode_id=”127638″]<\/p>\n

Automated processes at shipping terminals<\/h2>\n

The shipping industry is growing in confidence at AI technology\u2019s capacity to run processes at container terminals and expects it to play a big role in operations in the near future.<\/p>\n

In a\u00a0survey by Navis<\/a>, 83% of respondents expect to increase their investment in AI technologies within the next three years. A large proportion of participants also agreed that AI could be involved in automating processes at terminals, such as container handling equipment assignments (81%), decking systems (81%), recommended actions (69%), predicting gate volumes (59%), and stowage of vessels (52%).<\/p>\n

Approximately 56% said they were either trialling technologies or carrying out research into AI capabilities. However, there is some way to go yet as just 11% confirmed they were already using AI in some capacity in terminal operations.[\/vc_column_text][vc_column_text uncode_shortcode_id=”124767″]As for what they anticipate the biggest challenge to be with AI, 68% stated that it was a lack of skills in the technology. While around a third said there was a lack of cases that had proven the advantages for business. But as the technology is still relatively new, this is hardly surprising.<\/p>\n

Although the survey asked a relatively small pool of 60 Navis customers, this can be taken as an indication that the industry is giving serious consideration to what AI has to offer.<\/p>\n

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In a separate development,\u00a0Kawasaki Kisen Kaisha (K Line)<\/a>\u00a0has started a project to research into AI\u2019s capabilities to improve the quality of shipping services. The research is being carried out in collaboration with fellow Japanese organisations Hiroshima University, Marubeni Corporation and the National Institute of Maritime, Port and Aviation Technology (MPAT). The project will use predictive models for maritime logistics and market conditions.<\/p>\n

Reducing fuel consumption<\/h2>\n

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Next year, Stena Line is rolling out an AI platform to cut fuel consumption on its fleet of ships.<\/p>\n

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Since 2018, the company has been experimenting with AI tech on the Stena Scandinavica ferry, which travels overnight from Gothenburg in Sweden to Kiel, north Germany. The company has been\u00a0collaborating on this project<\/a>\u00a0with tech firm Hitachi.<\/p>\n

These tests have proven that the platform can provide fuel savings of up to 3%.<\/p>\n

The Stena Fuel Pilot AI software is able to predict the most economical route in terms of fuel consumption. Factors such as weather, currents, and other variations potential problems are taken into account and then the most efficient route is recommended.<\/p>\n

The company has a set a target of cutting fuel consumption and carbon emissions by 2.5% per annum. Of Stena\u2019s total running costs, 20% is spent on fuel. By the end of 2020, Stena Line plans to install the AI software on 38 of its vessels throughout Europe.<\/p>\n

One of the most complex factors to predict is water currents, which Stena hopes to make possible by refining the AI technology. Stena\u2019s ultimate ambition for AI is to create a system so precise that the captain can use it to plan routes in total confidence.<\/p>\n

Stena Line aims to be fully AI-assisted in 2021. Areas where the company is already being supported by AI include administration, customer service and finance.[\/vc_column_text][vc_column_text uncode_shortcode_id=”774844″]<\/p>\n

Image recognition systems<\/h2>\n