Organizations, particularly SaaS companies, receive a high volume of emails daily, ranging from customer inquiries to technical support requests. Managing and responding to these emails efficiently is crucial to maintaining customer satisfaction and ensuring operational productivity. However, manual email handling can lead to delays, inconsistencies, and misrouting of queries, resulting in poor customer experiences and increased workload for employees.

The goal is to design an email automation system that:

1. Classifies incoming emails using Natural Language Processing (NLP).
2. Automates responses for simple queries.
3. Routes complex queries to the appropriate team or department.
4. Provides personalized responses where necessary.
5. Continuously learns and improves through feedback loops.