An AI-powered WhatsApp ordering system that handles customer conversations, understands ordering intent, checks restaurant information, validates orders, and stores order data through an automated workflow.
I built an automated WhatsApp workflow where incoming customer messages are processed by an AI Agent. The agent uses Google Gemini for reasoning, memory for conversational context, and connected tools to retrieve inventory and FAQs and store confirmed orders.
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I built an AI-powered WhatsApp restaurant ordering system that turns customer messages into structured orders through an automated AI agent workflow. The system connects WhatsApp, Google Gemini, conversational memory, inventory data, FAQs, and order storage into a single workflow.
Restaurant staff often have to manually respond to customer messages, answer repetitive questions, check availability, and record orders. This creates unnecessary workload and can lead to slower responses or inconsistent order handling.
WhatsApp message trigger
AI-powered customer conversation
Google Gemini chat model
Contextual conversation memory
Dynamic inventory lookup
FAQ retrieval
Order validation and processing
Automated WhatsApp responses
Order data storage
End-to-end workflow automation
I built an automated WhatsApp workflow where incoming customer messages are processed by an AI Agent. The agent uses Google Gemini for reasoning, memory for conversational context, and connected tools to retrieve inventory and FAQs and store confirmed orders.
