This n8n workflow automates customer support and product data collection through WhatsApp, integrating AI and Google Sheets for a seamless process. It listens for incoming WhatsApp messages and distinguishes between training requests (messages starting with ‘train:’) and support inquiries. When a training message is received, it extracts product URLs, fetches and cleans HTML content, and employs GPT-4 to analyze and enrich product data, saving structured information in Google Sheets. For support requests, an AI-powered agent analyzes the message to understand customer problems, fetches relevant product info, and suggests solutions, logging the interaction for future reference.
Automated WhatsApp Support & Product Data Enrichment Workflow
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, code, googleSheets, googleSheetsTool, httpRequest, stickyNote, switch, whatsApp, whatsAppTrigger |
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