AI Customer Support Bot
Built a production-grade conversational AI system for a mid-size e-commerce company processing 10,000+ support tickets monthly. The system uses retrieval-augmented generation (RAG) to provide accurate, context-aware responses.
The Challenge
The client's support team was overwhelmed with a 48-hour average response time. Customer satisfaction scores were declining, and hiring more agents wasn't financially viable during rapid growth.
Tech Stack
The Solution
We implemented a multi-layered AI support system: a fine-tuned language model for intent classification, RAG-powered response generation from the knowledge base, seamless human handoff for complex issues, and continuous learning from agent corrections.
Results
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