We'll get back to you within 24 hours.
A RAG chatbot trained on 10,000+ products, order policies, and return processes — resolving 80% of all customer queries without human intervention, 24 hours a day.
A growing Gurgaon-based fashion and lifestyle e-commerce brand with 50,000+ SKUs was spending ₹4 lakhs per month on a 12-person customer support team. 78% of their tickets were the same repetitive questions — order tracking, return initiation, exchange policies, product sizing, and delivery timelines. Their average response time was 4 hours, leading to negative reviews and cart abandonment.
The first 78% were straightforward — they could be handled by a well-trained AI with access to real-time order data.
We built a RAG chatbot with direct integration into their OMS (Order Management System), product catalogue, and return portal. The chatbot can look up real-time order status, initiate return requests, answer detailed product questions from the full catalogue, and provide personalised recommendations. Complex cases are escalated to human agents with full context, reducing agent handling time by 60%.
The solution used a two-layer RAG architecture:
The chatbot resolved 80% of tickets without human intervention. Support team went from 12 to 5 agents. Monthly support cost dropped from ₹4L to under ₹80K. Customer satisfaction scores improved from 3.9★ to 4.7★ due to instant responses. Negative reviews mentioning "slow support" on Google Play and App Store disappeared almost entirely.
"We were bleeding ₹4 lakhs a month on repetitive support questions. The RAG chatbot handles 80% of them now, our response time went from 4 hours to 2 minutes, and our ratings have never been better. The ROI was clear within the first month."
| Industry | E-Commerce |
| Location | Gurgaon, Haryana |
| Timeline | 6 Weeks |
| Solution | RAG Chatbot |
Free consultation with our RAG chatbot specialists. Build in 6 weeks.