Public Companies Supply Chain DataFeed

The Public Companies Supply Chain Data Feed provides deep visibility into the global trade activities of publicly listed companies and their subsidiaries. Designed for financial institutions, compliance teams, supply chain analysts, and risk professionals, this dataset brings together verified, structured, and enriched global shipment records to help users analyze sourcing patterns, customer dependencies, geopolitical exposure, compliance risks, and market trends.

This data feed includes billions of trade records sourced from customs filings, port data, and shipping manifests. Each record is standardized, entity-resolved, and enriched with company identifiers, parent–child hierarchies, transportation modes, ports, HS codes, and shipment-level commercial details.

By focusing specifically on public companies and their corporate families, the dataset becomes uniquely valuable for investment research, supply chain risk modeling, competitive intelligence, ESG due diligence, and bank-level trade finance assessments of listed entities.

**Information About the Sample Dataset**<br/>Your listing includes three sample formats, each representing a level of detail available in the full dataset.

**- Format 3: Full Enriched Supply Chain View**<br/>This is the most comprehensive sample structure, containing:

- Shipper & consignee identifiers, addresses, and parent company links
- Public company stock tickers & exchange metadata
- Complete shipment attributes (value, weight, product, HS code)
- Transportation & port details

Fields Included (abbreviated):<br/>Shipment Date, Declaration Type, Trademo Shipment ID, HS Code, Product Description, Ports, Shipper/Consignee Standardized Name, Company IDs, Stock Tickers, Parent Company IDs, Quantity, Value, Weight.

- **Format 2 : Standard Company-Level Shipment View** A simplified version useful for:
- Trade lane analysis
- Shipment value and volume modeling
- Shipper–consignee mapping

Includes: company IDs, addresses, ports, HS codes, shipment value/weight, quantity, and standardized names.

- **Format 1: Minimal Shipment Data** Best for:
- Quick ingestion
- Lightweight ETL
- High-level shipment modeling and aggregation

Includes: Shipper & consignee names, addresses, shipment details, value, weight, and HS code.

搜集汇总

背景与挑战

背景概述

该数据集专注于上市公司及其子公司的全球贸易活动，通过整合海关申报和港口数据等来源，提供标准化的供应链记录，用于分析供应链风险、投资研究和合规评估。其样本格式提供不同详细层级，以满足从快速建模到深度分析的需求。