In 2025, manufacturers are grappling with a new wave of tariffs and trade policy shifts that directly impact supply chain costs and continuity. Such tariff changes make global sourcing a moving target – suddenly a component from overseas might cost 25% more, squeezing margins or forcing manufacturers to seek new suppliers. Without strategic visibility, companies risk reactive moves that disrupt operations. Key questions arise: Which materials or parts carry new tariffs? Do we absorb the cost, or find alternate sources? How do we prevent delays at customs? Ensuring supply chain efficiency and profitability in the face of tariffs is a top concern.

Stardog connects disparate data sources and breaks down business silos to enable insights and powerful reasoning to understand the impact with accuracy, agility and speed. Whether it’s cutting complex sourcing costs, securing rare materials, or deftly handling tariffs, Stardog’s combination of a unified semantic data layer and AI-driven analytics translates into informed decisions and measurable gains. With Stardog, you can see real-time impacts of tariff fluctuations, identify alternative sourcing and logistics options, track and adjust pricing strategies and perform scenario planning to mitigate risk.

In this on-demand webinar, watch Stardog Field CTO, Matt Lucas, share how to:

• Use ontologies and knowledge graphs to swiftly detect, resolve, and mitigate supply chain disruptions.
• Adapt quickly to tariff policy changes with inference rules that help reduce duty overpayments.
• Analyze customer warranty submissions to uncover trends and root causes, minimizing financial and reputational risks.
• Enhance organizational resilience by assessing the impact of regulatory changes across structured and unstructured data sources.