AI is changing the game in supply chain and logistics management —with agentic AI moving beyond predictive insights to autonomous action. But without a rigorous data protocol, your AI efforts are sure to flounder, never delivering the promised ROI.

In this webinar, we'll explore the essential steps supply chain leaders must take to establish a high-yielding data foundation, before delving into the real-world agentic AI use cases that are automizing time-consuming processes across the world's most advanced supply chains.

Over the course of the session, four supply chain experts will explain how to:

• Combine data sets from external sources with data from across your own logistics network to create a detailed, 3D view of your supply chain, registering countless factors that could lead to disruptions 

• Unleash AI to order this vast data at speed, identifying hidden risks before they've developed, suggesting next steps, and automatically communicating with multiple supply chain stakeholders to execute contingency plans

• Establish an innovation feedback loop by instructing your AI to collect and refine the very data that continues to train it - expanding your digital field of view while simultaneously developing your AI's capabilities and experience