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AWS enables multimodal WhatsApp ordering assistants with Bedrock AgentCore

AWS has detailed how to build a multimodal ordering assistant for WhatsApp using Amazon Bedrock AgentCore and Amazon Nova 2 models. This system allows customers to interact with restaurants via text, voice notes, or calls through a single WhatsApp Business number, maintaining a unified customer history across channels. The solution leverages Meta's WhatsApp Business Platform for the customer interface and AWS services like Lambda, API Gateway, and DynamoDB for backend processing, with Amazon Nova 2 Lite handling text and Amazon Nova 2 Sonic managing voice interactions. AI

IMPACT Enables businesses to integrate AI-powered customer service directly into popular messaging platforms like WhatsApp.

RANK_REASON Blog post detailing how to deploy a specific application using existing AWS services and models.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AWS enables multimodal WhatsApp ordering assistants with Bedrock AgentCore

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30 / 100
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Newsworthiness bucket
Tool
Blog post detailing how to deploy a specific application using existing AWS services and models.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Salman Ahmed ·

    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 s…