Project description:
Combined RPA and AI to classify and prioritize 1500+ customer support emails monthly. This solution uses NLP & LLM to identify, classify & extract information from emails. I built self learning model that passes on this extracted information to downstream automations for end to end processing.
Benefits:
✅ Reduced response time for high-priority cases by 60%.
✅ Increased customer satisfaction by 35%.
✅ Automated 95% of email triaging tasks, allowing support staff to focus on critical issues.
0 likes · 14 views · Dec 17, 2024
This project aims to automate classification of finance emails to reduce manual effort, and enhance accuracy, leading to better customer satisfaction.
