This n8n workflow automates the process of email classification, response generation, feedback analysis, and customer/client communication. It integrates email triggers, AI-powered natural language processing, and vector database retrieval to streamline customer service, HR, sales, and billing operations.
The workflow begins with an email trigger via IMAP, which reads incoming emails and downloads attachments. A code node then analyzes the email subject (or body in some parts) for keywords to classify the email into categories such as HR, billing, complaint, feedback, inquiry, or sales. This classification helps direct the email to appropriate responses.
An AI language model (via Langchain) is used to further understand and categorize the email content, especially for complex inquiries or feedback. Additional nodes process PDFs or other document attachments, extract and clean text, and embed the content into a vector database (Pinecone) for contextual retrieval.
Based on the classification results, automated responses are sent: customers receive acknowledgment to complaints or inquiries; HR and sales teams are notified of relevant developments; feedback is analyzed for sentiment to identify negative or positive responses.
The workflow also includes an AI agent that classifies and responds to job applications with acceptance or rejection emails. A manual trigger allows for re-executing parts of the workflow, such as processing business PDFs into the vector database.
The system utilizes various AI services for language understanding, sentiment analysis, and document embedding, facilitating efficient handling of customer support, HR recruitment, billing, and feedback analysis—ultimately enhancing operational efficiency and response accuracy.
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