Automated Email Analysis and Memory Logging Workflow

This n8n workflow automates the process of monitoring, analyzing, and structuring incoming emails, making it ideal for businesses seeking to leverage email data for customer insights and operational efficiency. It begins with a Gmail trigger that continuously watches for new emails. Once a new message arrives, the email’s core details such as sender, subject, and message content are extracted using the ‘Set Target Email’ node. The email content is then sent to an advanced language model (LLM) like GPT-4 for detailed analysis, including core message extraction, sentiment assessment, red flag identification, and keyword extraction. To ensure data accuracy, a parsing step with an auto-fixing capability corrects any JSON format issues, producing a reliable structured output. The analyzed data is then stored in a persistent memory layer via the ‘mem0’ API, creating a long-term profile of communication with each sender. This enables insightful tracking and relationship management over time. The workflow is particularly useful for customer support, sales, or marketing teams that need to process and understand large volumes of email correspondence efficiently and systematically.