Better shipping with machine learning

Research in the International Journal of Shipping and Transport Logistics (IJSTL) has used a novel, machine learning approach known as MGGP to rank and prioritize performance criteria in evaluating a country’s logistics performance using the World Bank’s Logistics Performance Index (LPI). The LPI itself consists of six different components that measure and rank international logistics performance. The components in question are: customs, infrastructure, ease of arranging shipments, quality of logistics services, tracking and tracing, timeliness.

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