Global Import-Export Transactional Datafeed

**Overview**
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.

**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 dataset**

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 dataset**

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 [[e-mail]].

**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.

搜集汇总

背景与挑战

背景概述

该数据集收录了全球16个国家超过1.64亿条进出口货物记录，包含物品、发货方、目的国等20多项详细贸易数据，适用于供应链优化和市场分析等商业场景。数据源自海关申报单等文件，自2014年持续更新，并提供定制化样本服务。