This workflow seamlessly integrates WhatsApp messaging, AI processing, and database management to automate restaurant order handling and payment verification. It enables restaurants to receive customer orders, process multimedia inputs such as images, audio, and documents, and verify payments through receipt analysis. The process begins with WhatsApp triggers capturing customer messages, which can include text, images, audio, and location data. AI models, including GPT-4, analyze and understand the message content, extracting order details or transcribing voice messages. The system also retrieves geographical data via Google Maps API and processes receipts using OCR and specialized AI agents to confirm payment accuracy. Depending on the verification outcome, it communicates updates to customers and staff, ensuring efficient order management. This workflow is ideal for restaurants seeking to digitalize order intake, streamline customer interactions, and automate payment validation, thus enhancing operational efficiency and customer satisfaction.
WhatsApp AI Agent for Restaurant Orders and Payment Verification
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, extractFromFile, googleDrive, httpRequest, if, set, stickyNote, switch, wait, whatsApp, whatsAppTrigger |
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