LLM-Powered Email Dispatcher Automates Content-Based Routing.

Managing the high volume of emails in large organizations is a significant challenge, often leading to time-consuming manual processes for forwarding information. This research introduces a novel solution: a content-based smart email dispatcher. The system leverages large language models (LLMs) to automatically analyze the textual content of emails. The core idea is to use LLM agents to understand email context and instructions, then route messages and attachments to appropriate recipients. The paper specifically details an implementation for an engineering college, where emails are dispatched to relevant student WhatsApp groups based on their content. This automated approach eliminates the need for manual email perusal and forwarding, thereby reducing errors, saving time, and boosting productivity. A key advantage is that the system operates effectively without requiring pre-labeled datasets, relying instead on the LLMs' inherent understanding capabilities.