AI
AI Customer Support Engine
An intelligent assistant trained to respond to customer queries, detect emotion, and resolve common issues autonomously.
Launched: 21.10.2024
Duration: 3 Months
Client: Confedential


Design of an AI-powered virtual assistant to resolve customer queries using NLP, emotional tone detection, and contextual memory.
The Challenge
The client’s support team was overwhelmed with repeated tickets and poor sentiment feedback due to slow response times.
Our Solution
We deployed an AI assistant that responds to common support queries with context-aware responses, detects emotional sentiment, and auto-escalates complex cases.
Results
- 65% reduction in first-response time
- 40% of tickets resolved without human agents
- 92% accuracy in sentiment classification
- Customizable knowledge base integration
Technologies Used
Python
spaCy
FastAPI
MongoDB
Tailwind CSS
Project Overview
Client
Confedential
Category
AI
Timeline
3 Months
Launch Date
21.10.2024