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/>

搜集汇总

背景与挑战

背景概述

该数据集提供16个国家的全球进出口交易标准化数据，涵盖超过1.64亿条货物记录，包括商品、运输路线、HS编码等详细信息，每日更新自2014年至今。它被买家、物流公司等用于市场分析、供应链优化和风险评估，数据来源于海关文件等清洗后的标准化记录。