8 weeks
Timeline
E-Commerce
Industry
4 engineers
Team Size
The client's customer support team was overwhelmed with repetitive inquiries, leading to long wait times and declining satisfaction scores. They needed an AI-powered solution that could handle common queries while seamlessly escalating complex issues to human agents.
We developed a conversational AI agent powered by retrieval-augmented generation (RAG) that draws from the company's knowledge base, product documentation, and historical support tickets to provide accurate, contextual responses.
The agent operates across web chat, email, and messaging platforms with a unified conversation history. It features intent classification, sentiment detection, and intelligent handoff protocols that ensure customers get to a human agent when needed — with full context transferred.
Tech Stack
Key Results
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