Global Enriched Import-Export Transactional Datafeed

Standardized information on all shipments coming into and going out of sixteen countries is provided by Trade Transactional Data. The data coverage encompasses worldwide trade transactional data to and from nations like China, India, Germany, Vietnam, and many more. It also includes countries like US imports and exports. For risk assessments, market research, and other uses, such as comprehending international shipments, commodities, products, HS codes, trade routes, importers, exporters, and more, this data is vital.

ABOUT THE DATA

The data collection includes over 164 million cargo records from international importers and exporters, featuring more than 20 raw and refined data elements. It delivers comprehensive business information, offering detailed insights into goods, shippers, destinations and their countries, shipment weight and value, ports of unloading, shipment dates, HS codes, and additional information on Standardized shipments, Consignee details, Shipper Jurisdiction Country, and etc.

USERS AND USE CASES

Buyers, suppliers, logistics companies, trade finance, and investment organizations utilize this data collection to track investments, analyze market trends, locate new opportunities, optimize or diversify current supply chains and operations, reduce risks, and keep an eye on the competition.

DETAILS ON THE COMPLETE DATA SET

Complete data, updated daily, is accessible from January 2014 until the present. This trade transactional data is cleansed from customs declarations, bill of lading documents, shipping lines, and commercial invoices to establish standardized firm names.

INFORMATION ABOUT THE SAMPLE DATA SET

<br/>This listing provides an example data set of shipment statistics for a publicly traded US company and its overseas subsidiaries from January 1 to January 31, 2023. Get in contact with [[e-mail]] to receive a bespoke dataset for specific companies, time periods, items, HS codes, ports, or more.

<br/>ABOUT TRADEMO

Trademo functions as a single source of truth for global supply chains. It was built by compiling billions of data points and using big data, machine learning, NLP, entity resolution, and graph databases to clean, enrich, and analyze unstructured data to obtain detailed insights on over 50% of global trade by dollar value.<br/>