Vizion

Overview

TradeView by Vizion is a Global Trade Intelligence dataset and platform designed to monitor, measure, and analyze the real-time flows of seaborne containerized trade. The platform enables researchers to identify shipping trends in real-time at the time of shipment booking and to map regulatory compliance and environmental, social, and governance (ESG) concerns within product and company value chains.

The dataset provides capability to monitor company shipment flows 30-90 days before arrival at destination and to analyze trends across 10 years of historical data on suppliers, products, and logistics movements. The platform consolidates containerized cargo data from multiple sources and formats, addressing fragmentation issues common in traditional trade data. It improves upon traditional customs-based data sources which often exhibit discrepancies between importing and exporting countries on trade volumes.

Data Description

The dataset provides four main categories of insights:

Shipping Insights include: Commodity/Product, Container Status, Requester/Shipper/Forwarder/Consignee information, Contract Party, Notify Party, Load and Discharge Ports, HS Code, Vessel, Ship Owner, Carrier, Cargo Value, and Company DUNS number.

Booking Insights include: Requester/Shipper/Forwarder/Consignee information, Contract Party, Notify Party, Load and Discharge Ports, HS Code, Vessel, Ship Owner, and Carrier.

Track & Trace Insights include: Departure Date, Original ETA, ATA (Actual Time of Arrival), Gate-out Time, Gate-in Return Time, Vessel, Vessel Load Dates, Vessel Trace Details, Port and Terminal Events, and Rail Events.

Performance Monitoring Insights include: Port Performance Monitoring, Port Pairs Monitoring, Port Activity Monitoring, and Greenhouse Gas CO2 Monitoring.

The platform enables analysis of trade activity by product, showing upcoming, ongoing, and completed shipment volumes for up to the next 30-90 days, with filtering capabilities by origin and destination location, company and industry, and product and commodity. Trade activity by company and industry can be examined to determine shipment volumes by company over time, receipt volumes by location over time, and product breakdowns by company and industry over time. Value chain analysis capabilities allow identification of upstream suppliers and downstream customers, assessment of value chain risks, with filtering by location, goods, and timeframe.

Coverage

The dataset encompasses:

900 million seaborne imports and exports from 190+ countries
57% of all containerized seaborne trade
900,000 commodities mapped by HS code
625,000 named companies
Networks of 500 million suppliers and logistics service providers (LSPs)
Over 150,000 stock tickers
10+ years of historical data

Data updates are provided daily, with data elements having a 4-8 week published lead time compared to alternative sources. The dataset achieves a 90% match rate for accuracy, measured in terms of HS code, company name aggregation, and location enrichment.

Methodology

The dataset consolidates global trade data from a vast number of countries into a single comprehensive source, reducing the fragmentation typical of containerized cargo data dispersed across multiple sources and formats. This consolidation specifically addresses the challenge that containerized cargo data often lacks clear indicators of modality.

The platform provides detailed and standardized commodity classifications using HS codes, improving data accuracy by ensuring consistency. This approach addresses discrepancies commonly found in customs data between importing and exporting countries regarding trade volumes.

Real-time data collection occurs at the time of shipment booking, significantly reducing data lag. Published data maintains a 4-8 week lead time advantage over alternative data sources, compared to traditional sources that typically suffer from 2-8 week lags.

The dataset provides comprehensive visibility into all counterparties involved in transactions, including access to historical transshipment records that are typically difficult to obtain once removed from carrier sites. This comprehensive counterparty data facilitates compliance assessment and counterparty risk evaluation.

Data delivery methods include: Platform access, SFTP, S3, Snowflake, and other data warehouse transfer methods.

Additional Notes

Research Applications: The dataset supports several research use cases including:

Informing commodity and equity research strategies
Providing macro indicators for capital market analysis examining changes in volumes of goods shipped
Supply chain and counterparty risk assessments
Trade policy analysis and economic forecasting
Claims investigation and loss prevention research
Evaluation of trade lane performance by carrier

Data Access: Beta access has been offered to early users with full platform access. The dataset is delivered through multiple methods including dedicated platform access, SFTP, S3, Snowflake, and other data warehouse transfer options.