From data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore
Amazon Bedrock AgentCore uses MCP servers to give supply chain managers conversational enterprise data access
“Answering "which top-revenue SKUs are exposed to the current port closure, and what will it cost?" used to mean knowing which system held each piece and stitching them together by hand while the domain expert waited.”
AWS published a walkthrough showing how Amazon Bedrock AgentCore, using Model Context Protocol servers, enables supply chain managers to query fragmented enterprise systems (ERP, procurement, monitoring) through plain-language conversation via Amazon Quick. The architecture grounds answers in live systems of record rather than model recall and enforces human approval before any action is taken. This matters as a concrete production pattern for enterprise agentic AI with MCP, demonstrating real human-in-the-loop workflow automation.