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NileDutch uses AI for predictive logistics

SAN FRANCISCO/ROTTERDAM. April 18, 2017. Africa box carrier and breakbulk specialist NileDutch is to use ClearMetal AI and predictive logistics technology to improve container flow and vessel fleet utilization.

Developed by software engineers from Stanford University and Silicon Valley, ClearMetal's technology predicts shipment cycle events to enable asset allocation and trade management decisions for carriers, forwarders, terminals, and shippers.

NILEDUTCH"Managing fleet and container utilization against a backdrop of fluctuating demand in today's highly complex market can be challenging," said Mark Kraaijenbrink, NileDutch director Information and Communications Technology.

"We are always seeking innovative solutions to gain a competitive edge and ClearMetal's machine learning technology for predictive logistics appears to provide a significant advantage over any other industry methods and tools we've seen."

NileDutch will use ClearMetal technology to predict container supply and demand based on supply chain performance history, data and patterns.

"ClearMetal's approach to harvesting data and overlaying advanced technology will quickly move us to the forefront in applying predictive logistics and AI to our commercial and operational activities," continued Kraaijenbrink. "This results in better service for customers and greater opportunities for us to grow."

ClearMetal CEO Adam Compain added: "NileDutch is a very forward looking company that shares our belief that the future of the supply chain will be about data intelligence over scale."

Nile Dutch focuses on developing trade between Africa and the rest of the world with a fleet of 30 container/breakbulk vessels.

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