遇见数据集

Global Import-Export Transactional Datafeed

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ABOUT THE DATA More than 164 million cargo records from foreign importers and exporters are included in the collection, which also includes more than 20 raw and upgraded data aspects for comprehensive business information. Trade Transactional Data includes worldwide trade transactional data to and from nations including China, India, Germany, Vietnam, and many more. It provides thorough, standardized information on shipments by sixteen countries, including US imports and exports. Details on the goods, shippers, destination nations, weight and value of the shipment, port of unloading, date of shipping, HS code, and other information are all included. USERS AND USE CASES Buyers, suppliers, logistics firms, trade finance, and investment organizations use this data. They utilize it to keep tabs on investments, assess market trends, spot fresh opportunities, diversify and optimize supply chains, reduce risks, and keep an eye on the competition. 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 [[email protected]]. 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.

关于本数据集 本数据集涵盖超1.64亿条境外进出口商货运记录,同时包含20余项原始与优化数据维度,可提供全方位商业信息支撑。 贸易交易数据(Trade Transactional Data)包含全球范围内与中国、印度、德国、越南等多国间的贸易交易记录。本数据集提供涵盖16个国家的全面标准化货运信息,其中包含美国的进出口贸易数据。数据内容涵盖货物详情、托运方信息、目的国、货运重量与价值、卸货港、装运日期、海关编码(HS code)及其他相关信息。 用户群体与应用场景 采购商、供应商、物流企业、贸易金融机构与投资组织均会使用该数据集。他们可借助该数据集追踪投资动向、研判市场趋势、发掘全新商机、优化并拓展供应链布局、管控风险以及监控竞争态势。 完整数据集详情 完整数据集的时间范围为2014年1月至今,每日更新。该数据集源自海关申报单、提单、船公司单证与商业发票,经清洗规整后生成标准化企业名称。 样本数据集详情 本次提供的样本数据集涵盖2023年1月1日至1月31日期间,某美国上市公司及其国际子公司的货运统计数据。如需针对特定企业、时间段、货物品类、海关编码、港口或其他自定义需求定制数据集,请联系[[email protected]]。 关于Trademo Trademo依托大数据、机器学习、自然语言处理(Natural Language Processing)、实体解析与图数据库技术,整合数十亿个数据点,对非结构化数据进行清洗、富集与分析。通过该流程,Trademo可实现按货值计算的全球超50%贸易的深度洞察,使其成为全球供应链信息的可靠来源。

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Trademo
搜集汇总
数据集介绍
Global Import-Export Transactional Datafeed 数据集图片
背景与挑战
背景概述
该数据集涵盖2014年至今全球16个国家的进出口货运记录,包含1.64亿条货物运输数据,提供商品、运输方、价值等20余项详细信息,支持供应链优化和市场趋势分析。数据源自海关文件及商业发票,每日更新,被广泛用于贸易金融和物流领域。
以上内容由遇见数据集搜集并总结生成
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