Building a comprehensive real-time chat support system with AI automation that handles 10,000+ daily queries while reducing costs by 60% and maintaining 95% customer satisfaction.
Modern businesses struggle with scaling customer support while maintaining quality and keeping costs reasonable. Our client faced several critical challenges:
Traditional support required large teams operating 24/7, with costs exceeding $250,000 annually
Customers waiting 4+ hours for simple queries, leading to frustration and churn
Unable to handle sudden spikes in support volume during product launches or issues
Need to serve multiple clients with completely isolated data and customization
Difficulty organizing and accessing support documentation across teams
No real-time insights into support performance, customer satisfaction, or team efficiency
Build a comprehensive AI-powered chat support system that could handle 10,000+ daily queries while reducing costs by 60% and maintaining 95%+ customer satisfaction.
We built a comprehensive Multi-Tenant Chat Support Platform with real-time AI assistance, featuring enterprise-grade architecture and seamless user experience.
┌─────────────────┐
│ React App │ ← Vite + TypeScript + Tailwind
│ (Frontend) │
└────────┬────────┘
│
┌────▼─────────────────┐
│ Load Balancer │
└────┬─────────────────┘
│
┌────▼────────┐
│ Express.js │ ← Node.js + TypeScript
│ API Server │
└────┬────────┘
│
┌────▼────────────────────┐
│ Socket.io WebSocket │ ← Real-time messaging
└────┬────────────────────┘
│
┌────▼──────────┐
│ SQLite + ORM │ ← TypeORM for persistence
└───────────────┘
│
┌────▼──────────┐
│ Gemini API │ ← AI-powered responses
└───────────────┘Successfully processing 10,000+ customer queries per tenant daily
Achieved industry-leading satisfaction rate
Saved approximately $150,000 annually per tenant
Reduced from 4 hours to under 30 seconds
Three-quarters of queries fully automated
Industry-leading reliability and performance
This AI-powered chat system transformed our customer support operations. We went from struggling to handle 2,000 daily queries with a team of 10, to effortlessly managing 10,000+ queries with just 3 team members. The cost savings alone paid for the entire project in the first quarter, and our customer satisfaction scores have never been higher.
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