AI-Powered Support Assistant

A secure RAG-based support assistant that resolved 68% of customer queries automatically and cut response times by 90%.

We built a retrieval-augmented AI assistant grounded in the client's product catalog, policies, and help center.

Outcome

The assistant now handles the majority of tier-1 support autonomously, with seamless human handoff for complex cases — dramatically improving customer satisfaction while reducing costs.

Project Details

Client: E-commerce Retailer
Industry: Retail
Year: 2025

Technologies

LLMRAGNext.jsVector Search

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