Supply Trace is an accessible, open platform that exposes potential risks in global supply chains.
Supply Trace is populated with customs records, such as shipping and bill of lading data, and other publicly available supply chain information. Additional intelligence, derived from desk-based research, is layered over the base supply chain data.
Supply Trace is available for anyone to search who has an interest in better understanding supply chain conditions, including companies, government, civil society and more.
Machine learning automates the process of tracing connections between multiple supply chain tiers, as goods flow through global supply chains.
Supply Trace is a research project incubated at Northeastern University. In the pilot phase, it combines the forced labor expertise of Northeastern and Sheffield Hallam Universities, with programming and computational resources provided by Northeastern.
Supply Trace is populated with customs records, such as shipping and bill of lading data, and other publicly available supply chain information. Additional intelligence, derived from desk-based research, is layered over the base supply chain data.
Supply Trace is populated with customs records, such as shipping and bill of lading data, and other publicly available supply chain information. Additional intelligence, derived from desk-based research, is layered over the base supply chain data.
Supply Trace is populated with customs records, such as shipping and bill of lading data, and other publicly available supply chain information. Additional intelligence, derived from desk-based research, is layered over the base supply chain data.