From supply chain visibility to counterparty risk: A data-driven view of supply chain risk

Supply chain disruptions, geopolitical uncertainty, and financial stress are driving organizations to take a more proactive approach to supplier risk management. This session will demonstrate how trade intelligence and credit risk analytics can be combined to provide a more complete view of supplier and counterparty risk.

We'll explore how organizations can:

• Identify critical suppliers and customers — Use trade and shipment data to uncover supply chain relationships, key counterparties, and concentration risks.
• Assess counterparty financial health — Evaluate creditworthiness using forward-looking credit risk analytics, score trends, and watchlist indicators.
• Prioritize risk monitoring and decision-making —Leverage exposure analysis to focus attention on the counterparties that matter most.

Using a real-world case study, attendees will gain insights into how to:

• Identify key suppliers and customers within complex supply chains
• Detect concentration risks and potential points of disruption
• Assess counterparty credit risk using forward-looking indicators
• Monitor emerging risks through credit deterioration and watchlist analysis
• Enhance supplier risk workflows with exposure capacity insights

Agenda:

• Supply chain risk challenges and market trends
• Panjiva: supply chain visibility and concentration risk
• Credit Analytics: counterparty credit risk assessment
• Combined supply chain risk workflow
• Case study demonstration
• Q&A

Speakers

Mabel Ng

Executive Director, Product Management, Trade & Supply Chain
S&P Global

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Anthony Yang

Senior Analyst - Quantitative Modeling Group (QMG)
S&P Global

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