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
AI Customer Support Engine
Project image 1

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

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