AI Smart Ticketing
TECHNOLOGY
Domain Agnostic Product
AI-driven ticketing improving response time and customer satisfaction
Objectives
The objective was to build a lightweight, scalable AI-enabled ticketing platform that could intelligently manage email and chat-based support requests. The goal was to improve response times, enhance customer satisfaction, and streamline multi-channel support operations.
Solutions
We developed an NLP-powered ticketing system capable of understanding context and performing real-time sentiment analysis. The platform dynamically adjusted ticket priority based on urgency and emotional intensity. It was seamlessly integrated with Slack, MS Teams, chatbots, and email systems to ensure unified support workflows. The architecture was designed to be highly scalable while remaining lightweight and easy to deploy.
Benefits
- Intelligent ticket prioritization: Automated sentiment-based prioritization reduced manual triage efforts by 50–60%.
- Faster resolution times: Improved average response and resolution time by 30–40% through AI-driven routing.
- Improved customer satisfaction: Increased CSAT scores by 15–25% due to timely and context-aware responses.
- Unified support ecosystem: Reduced tool-switching and operational friction, improving agent productivity by 20–30%.
- NLP SENTIMENT ANALYSIS
- AI PRIORITY ENGINE
- OMNICHANNEL INTEGRATION