This n8n workflow automates customer support via WhatsApp using AI language models and Google Sheets integration. It begins with a webhook trigger to receive customer inquiries, which are processed by an AI language model (OpenAI) connected to a conversational memory buffer. The AI acts as a support agent, interpreting customer issues and referencing company, product, and service data stored in Google Sheets. The workflow logs unresolved issues back into Google Sheets for tracking and further support. Additionally, it utilizes a code node to prepare responses and makes HTTP requests to send support messages back to customers on WhatsApp. This setup enables businesses to offer instant, intelligent, and scalable customer support through WhatsApp, enhancing response times and customer satisfaction.
AI-Powered WhatsApp Customer Support Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, code, googleSheetsTool, httpRequest, stickyNote, webhook |
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