Disruptions to economies and global supply chains highlight the importance of accurate and timely economic statistics. In recent years, data on vessel movements through the Automatic Identification System (AIS), has become an experimental source of analysis for high-frequency alternative statistics. This report proposed a framework to derive high-frequency indicators from AIS for activity in individual ports and at the global-level from AIS. This report also developed methods that help overcome challenges in big data processing. Findings suggest that AIS data can be used to produce more timely maritime statistics for individual ports and global trading activity.