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Automate restaurant customer service with WhatsApp and Llama AI chatbot

An intelligent WhatsApp-based chatbot designed for restaurants to automate customer interactions related to table bookings, menu inquiries, opening hours, services, and offers. Built using the n8n automation platform ...

DevelopmentData & StorageCommunicationHITLAILangchainCore NodesSticky Note
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Template notes

An intelligent WhatsApp-based chatbot designed for restaurants to automate customer interactions related to table bookings, menu inquiries, opening hours, services, and offers. Built using the n8n automation platform and powered by an AI language model, this solution streamlines communication, boosts efficiency, and improves customer satisfaction.

Objectives

Automate replies to common customer queries on WhatsApp Handle table booking requests with confirmation Provide menu item details, pricing, and dietary information Share restaurant timing, location, and service availability Promote offers and handle promotional queries Operate 24/7 without manual intervention Store bookings and conversations for reporting and analytics

Workflow Summary

Step 1: Message Reception

Node: WhatsApp Trigger (Webhook or API-based) Function: Listens for incoming customer messages.

Step 2: Intent Recognition

Node: AI Query Processor (e.g., OpenAI API) Function: Detects customer intent (e.g., booking, menu, timing).