HomeAI NewsAWS shows how to deploy a multimodal WhatsApp ordering assistant with Bedrock...

AWS shows how to deploy a multimodal WhatsApp ordering assistant with Bedrock AgentCore

The solution combines a shared backend, Amazon Nova 2 Lite for text, and Nova 2 Sonic for real-time speech on one WhatsApp Business number.

AWS published a guide for deploying a multimodal WhatsApp ordering assistant on Amazon Bedrock AgentCore with Amazon Nova 2. Quick-service restaurants can run one agent that takes orders across WhatsApp text messages, voice notes, and voice calls. Customers do not need to install an app or sign in because the assistant lives on a single WhatsApp Business number.

Many quick-service restaurants run separate ordering systems for an app, website, phone, and counter, but customers already use WhatsApp. The assistant uses the Meta WhatsApp Business Platform as the customer front door while Amazon Bedrock AgentCore hosts the agents. Amazon Nova 2 Lite processes text through the Bedrock Converse API, and Amazon Nova 2 Sonic handles real-time speech on voice notes and calls.

The design separates the WhatsApp conversation layer, agent runtimes, and backend ordering logic into independent AWS CDK stacks. Operators can add or remove a channel without changing the backend. Enterprise teams get one HTTPS webhook and asynchronous processing through API Gateway, Lambda, and SQS.

AWS built the architecture so the backend does not change when a channel is added or removed. The separation means adding a channel later does not require a backend rewrite. The AWS CDK stack provisions all resources and emits the webhook URL for Meta registration.

What matters

  • AWS published a solution guide that deploys a multimodal WhatsApp ordering assistant with Bedrock AgentCore.
  • The architecture keeps one ordering backend across WhatsApp text, voice notes, and calls.
  • Operators can add or remove channels later without touching the backend, so watch for more integrations.

Why it matters

Operators can add or remove channels later without touching the backend, so watch for more integrations.

This GenAI News article was prepared in original wording using reporting and materials published by AWS Machine Learning Blog. Source reference: https://aws.amazon.com/blogs/machine-learning/deploy-a-multimodal-whatsapp-ordering-assistant-with-amazon-bedrock-agentcore/.

Drafted by the GenAI News review pipeline.

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