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AWS introduces conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore

Learn how to build conversational supply chain intelligence using Amazon Quick and Amazon Bedrock AgentCore to connect data and decision-makers.

AWS introduces conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore — image from AWS
Image: AWS

Summary

Amazon Web Services demonstrates a conversational supply chain intelligence pattern using Amazon Quick and Amazon Bedrock AgentCore. The architecture separates the intelligence layer from the interface layer, allowing enterprise systems to expose Model Context Protocol servers as composable tools. This lets supply chain teams query live data and execute workflows through natural language conversations.

What changed

  • Amazon Bedrock AgentCore acts as the intelligence layer, exposing enterprise Model Context Protocol servers as a composable tool layer.
  • Amazon Quick provides a chat interface, agents, Activity Feed, and automated workflows for users.
  • AWS Agent Registry serves as a governed discovery layer where publishers submit records and curators approve them.

Availability

Available now

“In this post, we walk through this pattern end to end, from a conversational walkthrough in Amazon Quick to the AgentCore tool layer behind it, and we show you how to deploy it yourself.”

Founder takeaway

Review the aws-samples/sample-amazon-quick-suite-knowledge-hub repository to evaluate deploying the open-source supply chain pattern yourself.

Source

AWSFrom data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore | Amazon Web Services

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