HHLA implements machine learning for the first time

Terminal Altenwerder

Machine learning has been implemented in the port of Hamburg to predict the dwell time of a container at the terminal. The first two projects have  been successfully integrated and implemented into the IT landscape at Container Terminals Altenwerder (CTA) and Burchardkai (CTB). This was reported by Hamburger Hafen und Logistik AG (HHLA).

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Author: Majorie van Leijen

Majorie van Leijen is the editor-in-chief of RailFreight.com, the online magazine for rail freight professionals.

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HHLA implements machine learning for the first time | RailFreight.com

HHLA implements machine learning for the first time

Terminal Altenwerder

Machine learning has been implemented in the port of Hamburg to predict the dwell time of a container at the terminal. The first two projects have  been successfully integrated and implemented into the IT landscape at Container Terminals Altenwerder (CTA) and Burchardkai (CTB). This was reported by Hamburger Hafen und Logistik AG (HHLA).

Do you want to read the full article?

Are you already a member?

Log in

Having problems logging in? Call +31(0)10 280 1000 or send an email to customerdesk@promedia.nl.

 

Author: Majorie van Leijen

Majorie van Leijen is the editor-in-chief of RailFreight.com, the online magazine for rail freight professionals.

Add your comment

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