AI Customer Support Platform

Problem

Businesses handling customer support at scale face long response times, repetitive inquiries, and growing pressure on support teams. Manual ticket handling does not scale efficiently as customer volume increases.

Clients needed a way to automate common support interactions while maintaining the ability to escalate complex issues to human agents.

Solution

Built an AI-powered customer support platform that helps businesses automate customer interactions, reduce response times, and improve support efficiency.

The platform allows customers to ask questions through an intelligent chatbot trained on company documentation, FAQs, and knowledge base content. When necessary, conversations can be escalated to human agents for personalized assistance.

Product Screenshots

Architecture

The system follows a modular SaaS architecture: a Next.js frontend communicates with a Node.js API layer, which persists data in PostgreSQL and Redis while delegating AI inference to the OpenAI API. Docker and AWS support scalable cloud deployment.

Features

• AI-powered chatbot using OpenAI
• Knowledge base and document management
• Conversation history and analytics
• Ticket creation and escalation workflow
• User and role management
• Real-time messaging interface
• Admin dashboard for monitoring and reporting

Technologies

• Frontend: Next.js
• Backend: Node.js
• Database: PostgreSQL, Redis
• AI: OpenAI API
• Infrastructure: Docker, AWS

Result

The platform enables businesses to handle a larger volume of support requests with reduced manual workload. Common inquiries are resolved automatically through the AI chatbot, while human agents focus on complex cases that require personalized attention.

This solution demonstrates expertise in AI integrations, SaaS architecture, API development, database design, and scalable cloud deployment.