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Build a Multimodal WhatsApp Ordering Assistant

Build a Multimodal WhatsApp Ordering Assistant
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☁️Read original on AWS Machine Learning Blog
#multimodal-agents#shared-memory#voice-aiamazon-bedrock-agentcoreamazon-bedrock-agentcoreamazon-nova-2whatsappaws

πŸ’‘See how to combine WhatsApp text, voice, and calls into one AgentCore ordering workflow.

⚑ 30-Second TL;DR

What Changed

Supports customer ordering through text messages, voice notes, and real-time voice calls.

Why It Matters

The pattern can help businesses add multimodal commerce experiences without maintaining separate assistants for each communication mode. Shared memory and separated layers may also simplify customer continuity and future channel expansion.

What To Do Next

Deploy the AWS reference implementation in a test environment and validate cross-channel identity, shared memory, and order handoff across WhatsApp text, voice notes, and calls.

Who should care:Developers & AI Engineers

Key Points

  • β€’Supports customer ordering through text messages, voice notes, and real-time voice calls.
  • β€’Uses one WhatsApp business number across all interaction modes.
  • β€’Separates channel and ordering layers while sharing memory to recognize customers across channels.
  • β€’Built with Amazon Bedrock AgentCore and Amazon Nova 2.
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