AI-Driven Personalized Tour Package Email Workflow

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This n8n workflow automates the process of handling customer email inquiries for tour packages, offering personalized recommendations using AI. It begins by monitoring an IMAP email account for new messages, then classifies each email as a new request, follow-up, or other through natural language processing. The email content is extracted and standardized into JSON format for easy processing.

Leveraging advanced language models like OpenAI’s GPT-4 and LangChain integrations, the workflow allows an AI agent to interpret customer requests and queries, referencing a vector database of existing tour packages stored in Pinecone. It can generate tailored travel suggestions and respond accordingly.

The step-by-step process involves email monitoring, classification, content extraction, AI-based recommendation, and finally, sending a personalized reply back to the customer. This automation is ideal for travel agencies seeking to deliver quick, customized tour proposals while managing multiple customer inquiries efficiently.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textClassifier, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, code, emailReadImap, emailSend, stickyNote

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