Production-Grade Agents: Merging Mass Data into Real-Time Decisions

About this session

What if your business could make every decision the moment the data arrived, instead of waiting on a report? In high-volume operations like Amazon retail, the gap between data and decision is where margin quietly disappears — and traditional BI was never built to close it. I will walk through how I deployed AI agents and MCP servers to merge fragmented data sources across one of the largest third-party Amazon operations in the U.S., delivering per-transaction P&L, demand forecasting, and reorder decisions in real time. Attendees will leave with a practical understanding of how to architect agentic workflows for production, the pitfalls I hit along the way, and the design choices that separate demo-ware from systems that actually run a business. If you're responsible for decisions inside a data-heavy operation, this talk will show you what's already possible — and what's coming next.