Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore
Learn how to deploy a multimodal WhatsApp ordering assistant that takes customer orders through text, voice notes, and real-time voice calls on a single business number, built on Amazon Bedrock AgentCore with Amazon Nova 2. The channel and ordering layers stay separate, and one shared memory recognizes each customer across all three channels.
This document outlines the deployment of a WhatsApp ordering assistant for quick-service restaurants using Amazon Bedrock AgentCore and Amazon Nova 2. The assistant streamlines ordering by allowing customers to interact via text, voice notes, or voice calls through a single WhatsApp Business number. The solution separates the WhatsApp layer, agent runtimes, and backend, enabling independent deployment and scalability.
The WhatsApp Business Platform serves as the customer front door, with Amazon Bedrock AgentCore hosting the conversational agents. Amazon Nova 2 Lite and Sonic handle text and voice interactions, respectively, while Amazon DynamoDB stores customer data and session information. The architecture employs AWS services such as API Gateway, Lambda, SQS, DynamoDB, and Kinesis Video Streams to ensure seamless communication and data management.
Security is maintained through AWS Secrets Manager and KMS, and the entire deployment is managed using AWS CDK for infrastructure provisioning.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
