At the world’s largest online retailer, agentic AI isn’t a buzzword, it is a reality. In this case study, Rajesh Sura, Head of Data Engineering and Analytics for North America Stores at Amazon, will break down how he and his team moved beyond rule-based automation to build a multi-agent orchestration framework to transform vendor experience.

We will look at the conversational BI agents and fully autonomous dispute-resolution agents that proactively spot and resolve issues with zero human intervention resulting in faster resolution times, personalized recommendations for vendors and hundreds of thousands of hours of work saved for internal teams.

We will hear how Rajesh and his team designed an explainable agentic ecosystem, keeping humans in the loop at critical points. We will also unpack how AI can identify shipping inefficiencies and personalized marketing strategies, allowing vendors to act with a single approval click.

Attendees will learn:

• How to design and implement multiple AI agents to solve complex, high-volume challenges with minimal human intervention.
• Ways to combine personalization at scale with explainable AI to secure trust and adoption.
• The governance and access-control considerations organizations must consider before deploying agentic AI.