This workflow creates an interactive WhatsApp chatbot designed for restaurant customer engagement. It enables customers to inquire about restaurant timings, menu, location, services, and offers, providing instant AI-generated responses that are polite, concise, and informative.
The process begins with receiving messages via a WhatsApp trigger, which initiates the chatbot conversation. The message content is extracted and analyzed using a language model (LLM) integrated with n8n’s LangChain node. The AI model interprets customer questions and generates appropriate replies based on a predefined set of restaurant-related topics, such as timings, menu items, and reservation options.
A decision node checks if the customer requests a table booking. If so, a new booking record is created in a PostgreSQL database. Subsequently, a confirmation message is sent back to the customer through WhatsApp. If no booking is required, the AI-driven response is sent directly.
This workflow is particularly useful for restaurants seeking to automate customer communication, streamline reservation processes, and enhance customer experience through instant, AI-powered responses on WhatsApp. It combines natural language understanding with real-time interaction, making it ideal for handling typical guest inquiries efficiently.
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