Panjiva Supply Chain Intelligence

Leverages machine learning technologies to surface key insights from unstructured customs import & export shipping data and resolves entities to their parent company for your analysis.

- Access coverage spanning approximately 40% of global merchandise traded by dollar value. Over 2 billion shipment records from 20 countries and 13 million company-to-company relationships for a comprehensive view of the global marketplace.
- Explore shipment records that provide information on physical trade transactions between companies, with information on the goods traded, tariff codes, ports, amounts, values and other trade details.
- Utilize entity resolution and tagging created through the use of advanced data science approaches including Machine Learning and NLP.
- Flexibile delivery via Xpressfeed™, Snowflake, API and Web Applications

本数据集依托机器学习技术，从非结构化海关进出口货运数据中挖掘核心洞察，并将实体匹配至其母公司，以供分析使用。
- 覆盖按交易金额计算的全球商品贸易总量约40%的范围；包含来自20个国家的超20亿条货运记录，以及1300万条企业间关联关系，可全面展现全球市场格局。
- 支持查询企业间实体贸易交易的货运记录，涵盖交易商品、海关税则编码、港口、数量、金额及其他贸易相关细节信息。
- 采用包含机器学习与自然语言处理（Natural Language Processing，NLP）在内的先进数据科学方法，构建实体匹配与标签标注体系。
- 支持通过Xpressfeed™、Snowflake、应用程序编程接口（Application Programming Interface，API）及Web应用程序实现灵活交付。

搜集汇总

背景与挑战

背景概述

该数据集运用机器学习技术解析全球海关进出口货运数据，覆盖约40%全球商品贸易，包含20个国家的20亿条货运记录和1300万公司关系。提供货物、关税、港口等交易细节，支持通过多种方式访问。