AI Retail Chatbot

1The Challenge

The client was struggling with high support ticket volumes during peak shopping seasons. Manual responses were slow, inconsistent, and expensive to scale. They needed an automated solution that could understand nuanced customer queries about orders, returns, and product information.

2Our Solution

We designed and deployed a custom NLP-powered chatbot integrated with their inventory and order management systems. The bot uses intent recognition to classify queries and a retrieval-augmented generation (RAG) pipeline for accurate, context-aware responses. A human handoff mechanism ensures complex issues get escalated seamlessly.

3The Outcome

The chatbot now resolves 80% of all customer inquiries without human intervention. Average response time dropped from 4 hours to under 30 seconds. Customer satisfaction scores improved by 35% within the first quarter.

Tech Stack