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Global Import-Export Transactional Datafeed

Trade Transactional Data offers comprehensive, standardized details on shipments by sixteen countries such as US imports and US exports, encompassing global trade transactional data to and from countries such as China, India, Germany, Vietnam & many more. This data supports risk assessments, and market research, and provides insights into global shipments, commodities, goods, HS codes, trade routes, importers, exporters, and more.

Available in

AWS Marketplace

Available in

AWS Marketplace

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

ABOUT THE DATA

The dataset contains over 164 million cargo records from international importers and exporters, featuring more than 20 raw and enhanced data elements for detailed business information. Trade Transactional Data offers comprehensive, standardized details on shipments by sixteen countries such as US imports and US exports, encompassing global trade transactional data to and from countries such as China, India, Germany, Vietnam & many more. It includes specifics on items, shippers, destination countries, shipment weight and value, port of unlading, shipment date, HS code, and more.

USERS AND USE CASES

This data is utilized by buyers, suppliers, logistics companies, trade finance, and investment organizations. They use it to track investments, analyze market trends, identify new opportunities, optimize or diversify supply chains and operations, mitigate risks, and monitor competition.

BUSINESS NEEDS

Supply Chain: Recognize and track goods and material imports and exports to identify potential for revenue generation and supply chain optimization, and take proactive measures to reduce disruptions

Market Analysis: Examine supply chain patterns over a range of time periods and industries, taking into account information on importers and exporters, nations, trade routes, commodities, quantity, and weight in order to assess competitors and identify areas for expansion.

Customer Acquisition: By developing the appropriate strategies at the proper times for growth and sustainability, trade data analysis can be used to identify, quantify, and target the supply and demand for goods and commodities.

Fundamental Analysis: Use custom SQL queries to examine historical trade data and traffic to gain insights into the causes of supply chain disruptions and market swings.

DETAILS ON THE COMPLETE DATA SET

Available from January 2014 to the present, the complete dataset is updated daily. It is refined from customs declarations, bills of lading, shipping lines, and commercial invoices to create standardized firm names.

DETAILS ON THE SAMPLE DATA SET

A sample dataset of shipment statistics for a US public firm and its international subsidiaries from January 1 to January 31, 2023, is included. For customized datasets tailored to specific businesses, time periods, items, HS codes, ports, or more, contact [dm@trademo.com].

ABOUT TRADEMO

Trademo compiles billions of data points using big data, machine learning, NLP, entity resolution, and graph databases to clean, enrich, and analyze unstructured data. This process provides detailed insights on over 50% of global trade by dollar value, establishing Trademo as a reliable source for global supply chain information.

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