Automated Support Workflow with AI and WhatsApp

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This n8n workflow automates customer support interactions by leveraging AI, messaging, and data storage services. Triggered manually, it handles customer inquiries received via WhatsApp, analyzes and logs conversations, and checks if follow-up actions are needed within a 24-hour window. The workflow uses Google Gemini’s Chat Model for AI responses, Pinecone for vector-based data storage and retrieval, and integrates Google Drive and Sheets for document and log management. If a customer hasn’t been responded to within 24 hours, it reopens the conversation with a pre-approved message. This setup is ideal for managing ongoing support conversations, ensuring timely follow-ups, and maintaining comprehensive logs for customer interactions.

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.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, code, dateTime, googleDrive, googleSheets, googleSheetsTool, if, manualTrigger, stickyNote, whatsApp, whatsAppTrigger

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