ZIM uses artificial intelligence to develop system to detect incorrectly declared hazardous cargo

ZIM has developed and implemented artificial intelligence-based software to detect and identify incorrectly declared hazardous cargo incidents before loading it onto the vessel.  The new ZIMGuard system checks load declarations at an early stage and indicates cargo that may have been declared incorrectly. The system takes advantage of artificial intelligence (AI), including natural language processing (NLP) and machine learning capabilities, to analyze documentation and alert operations personnel about omissions, concealment or distortion of dangerous cargo, in real-time.

“Since the launch of ZIMGuard, we have been alerted to dozens of cargo cases reported incorrectly. In view of ZIMGuard’s potential contribution to the security of the global supply chain, ZIM is willing to commercially license this system to parties who may be interested in using it, “says ZIM President and CEO Eli Glickman,

The incorrect declaration of dangerous cargoes has been the cause of major marine incidents, causing loss of life and serious damage. Last year, several operators announced the imposition of additional fees as a partial solution to this recurring problem.  ZIMGuard is already in use at major ports in China, the United States and Israel, and should be implemented in all ZIM services by the end of 2020.

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