NileDutch to use ClearMetal predictive logistics technology
Shipping - Breakbulk shipping company NileDutch and ClearMetal, the predictive logistics company has recently announced an engagement to unlock new efficiencies for global trade.
Apr 22, 2017: Breakbulk shipping company NileDutch and ClearMetal, the predictive logistics company has recently announced an engagement to unlock new efficiencies for global trade. Nile Dutch will use the machine learning and artificial intelligence of ClearMetal to improve customer service and drive growth.
Mark Kraaijenbrink, director information and communications technology, Nile Dutch, said, "Managing fleet and container utilisation against a backdrop of fluctuating demand in today's highly complex market can be challenging. 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."
Predictive logistics will enable Nile Dutch to improve container flow and vessel fleet utilisation through advanced prediction of customer bookings and container flow movements. Nile Dutch will leverage ClearMetal's Data Intelligence Platform to:
"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. This results in better service for customers and greater opportunities for us to grow." Kraaijenbrink added.
Adam Compain, CEO, ClearMetal, said, "We are taking a fundamentally different approach to helping our customers understand and navigate the global trade network. We're excited to partner with Nile Dutch to deliver differentiated technology that further accelerates the company's growth and profitability while becoming a more effective partner to its customers. Nile Dutch is a very forward looking company that shares our belief that the future of the supply chain will be about data intelligence over scale."