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CRM AI Agent to handle and respond to customer emails
Learn how to build an AI email agent that classifies inquiries, retrieves knowledge, generates replies or tickets, and is deployed with Docker CI/CD.
Businesses receive a high volume of customer emails daily, ranging from product inquiries to technical support requests. Managing and responding to these efficiently requires significant human interaction and effort. This AI agent automates email management by classifying inquiries, retrieving relevant knowledge, and generating personalized responses. It intelligently decides whether to reply instantly, escalate the issue by creating a ticket, or provide troubleshooting guidance—ensuring faster response times and improved customer satisfaction. By leveraging LLMs, vector databases, and automation, this AI agent enhances email handling, reducing manual workload while maintaining high-quality customer interactions. Furthermore, I conducted this project as a learning exercise and proof of concept for an AI-driven CRM automation application.
Dockerized AI agent automates customer email responses via LLMs, vector DB.
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