This n8n workflow streamlines restaurant operations by integrating WhatsApp for order intake and menu management with advanced AI and database systems. It automates the process of capturing customer orders via WhatsApp, verifying or adding users in the database, and creating order records. Additionally, it manages menu items through a vector database for quick retrieval and embeddings for enhanced search functionality. The workflow employs language models like Google Gemini for natural language processing, ensuring intelligent handling of customer interactions. It also automates the delivery process by sending order details directly to delivery personnel via WhatsApp. This setup is ideal for restaurants seeking to automate order processing, manage menus efficiently, and improve customer engagement through AI-powered chat and automation.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.vectorStoreSupabase, formTrigger, if, stickyNote, supabase, supabaseTool, whatsApp, whatsAppTrigger