Deploying a Multimodal WhatsApp Ordering Assistant with Amazon Bedrock AgentCore

A guide has been published for a multimodal WhatsApp ordering assistant developed using Amazon Bedrock AgentCore and Amazon Nova 2 models. This solution allows customers to place orders via text, voice notes, or voice calls using a single backend and cross-channel memory via the Meta WhatsApp Business Platform.

Purpose of the Multimodal Ordering Assistant

Restaurants split their ordering processes across different systems such as apps, websites, phone lines, and point-of-sale systems. This fragments customer history.

Offered via the Meta WhatsApp Business Platform, this assistant allows customers to place end-to-end orders through messaging without needing to install an additional app.

Technology Infrastructure and Artificial Intelligence Models

The system runs on agents hosted by Amazon Bedrock AgentCore and is fully deployed with the help of the AWS Cloud Development Kit.

Amazon Nova 2 Lite handles text processing, while Amazon Nova 2 Sonic provides real-time conversational support for voice notes and calls.

Architecture and Data Management

The solution is designed so that the WhatsApp layer, agent runtimes, and backend data operate independently of each other.

Incoming traffic is queued in an Amazon SQS queue for fast response and processed asynchronously, preventing requests from being blocked.

AWS Components and Security

Amazon DynamoDB stores customer profiles, orders, menus, and carts, while Amazon Location Service handles geolocation queries.

AWS Secrets Manager securely stores Meta access tokens, and AWS KMS provides encryption at rest for data storage.