What Global Tariff Uncertainty Means for Supply Chain Leaders - with Edmund Zagorin of Arkestro and Michael Shin of Trinity Rail Industries

2026-03-27 · Source: The AI in Business Podcast · Field: Business & Management — Operations & Process Management, Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Intermediate, extended

Summary

Arkestro's Edmund Zagorin and Trinity Rail Industries' Mike Shin, joined by Emerj CEO Daniel Faggella, discuss how data-driven procurement models address the need for speed and agility in global supply chains amidst geopolitical volatility. They highlight the shift from reactive quoting to proactive, "offer-driven sourcing," which leverages AI to analyze market factors and internal data, enabling enterprises to approach suppliers with pre-composed offers. This approach significantly shortens decision cycles and enhances pricing power. The discussion also covers the role of automated contract intelligence in identifying legal risks and optimizing terms, as well as AI's capability in supplier-alternative discovery to build resilience without expanding the supplier base. The experts emphasize that AI in procurement fosters internal and external collaboration by providing a common understanding of processes and facilitating faster problem-solving.

Key takeaway

For Operations Professionals and Directors of AI/ML navigating volatile global supply chains, prioritize implementing AI-driven procurement to accelerate decision-making and enhance resilience. Focus on adopting offer-driven sourcing and automated contract intelligence to reduce manual friction, surface hidden risks, and foster strategic collaboration with suppliers and internal teams. This shift will enable your organization to balance cost, capacity, and continuity more effectively, freeing your team to focus on high-value strategic initiatives.

Key insights

AI-driven procurement enables faster, more confident, and proactive supply chain decisions amidst global volatility.

Principles

• Volatility is the new norm for supply chains.
• Proactive offers accelerate procurement cycles.
• AI enhances supply chain resilience and compliance.

Method

Implement offer-driven sourcing by leveraging AI to generate data-informed offers to suppliers, rather than soliciting quotes. Utilize AI for automated contract analysis and supplier alternative discovery to streamline risk management and diversification.

In practice

• Adopt "offer-driven sourcing" to reduce quote evaluation time.
• Use AI for automated contract risk assessment.
• Identify incumbent alternatives for single-sourced parts.

Topics

• AI-driven Procurement
• Predictive Procurement
• Supply Chain Resilience
• Geopolitical Risk
• Contract Intelligence

Best for: Operations Professional, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI in Business Podcast.