Romo Chat
AI-powered customer service chat platform with real-time web socket communication
Overview
Developed a real-time customer service chat platform that enables businesses to engage with their website visitors through an AI-powered chat widget. The solution uses WebSockets for instant messaging and integrates AI to handle customer inquiries efficiently.
Challenge
Creating a reliable, scalable chat system that could handle thousands of concurrent connections while maintaining low latency. The main challenges included implementing real-time message delivery, managing WebSocket connections efficiently, and integrating AI capabilities to handle customer inquiries automatically.
Solution
Built a high-performance backend using Go with the Gin framework for the REST API and Centrifuge for real-time WebSocket communication.
Key Features
Real-Time Chat
Instant message delivery using WebSockets with Centrifuge for reliable real-time communication
AI-Powered Responses
Smart AI assistant that can understand and respond to common customer inquiries
Easy Integration
Simple script tag integration for adding the chat widget to any website
Agent Dashboard
Comprehensive dashboard for managing conversations, viewing chat history, and monitoring performance
Conversation Routing
Smart routing of conversations to available agents based on skills and workload
Analytics & Reporting
Detailed insights into chat volume, response times, and customer satisfaction
Technology Stack
Technical Highlights
Implemented WebSocket connection management handling 10,000+ concurrent connections per instance
Developed an AI pipeline for natural language understanding and response generation
Created a widget SDK that can be embedded in any website with a single line of code
Implemented end-to-end encryption for all chat messages
Set up auto-scaling to handle traffic spikes during peak hours
Built comprehensive monitoring and alerting with Prometheus and Grafana
Implemented CI/CD pipeline with automated testing and zero-downtime deployments
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