AI Customer Support System
24/7 intelligent support that resolved 78% of tickets without human intervention.
An e-commerce company with 50,000+ monthly customers was spending $45,000/month on a customer support team handling repetitive inquiries — order status, returns, product questions, and shipping delays. Support quality was inconsistent and response times were slow during peak hours.
We built an AI-powered customer support system using OpenAI's GPT-4 and a custom knowledge base trained on the company's products, policies, and order data. The system handles chat, email, and voice inquiries — escalating only complex or sensitive cases to human agents.
78% of support tickets are now resolved automatically without human involvement. Average response time dropped from 6 hours to under 2 minutes. Monthly support costs decreased by $28,000.
The Challenge
The primary technical challenge was accuracy. A support AI that gives wrong information about orders or returns damages customer trust more than slow human support. We needed a system that was not only fast but reliably accurate — and that knew when to escalate rather than guess.
Our Approach
We built a retrieval-augmented generation (RAG) system that grounds every AI response in the company's actual data — pulling live order information, real policy documents, and current product details before generating a response. This eliminated hallucination and ensured every answer was factually grounded. We also built a confidence-scoring system that automatically escalates low-confidence responses to human agents.
The Result
Customer satisfaction scores (CSAT) actually improved after the AI deployment — from 3.8 to 4.3 out of 5 — because response times were dramatically faster and answers were more consistent. The human support team now focuses exclusively on complex, high-value interactions.
We'd love to discuss how we can build a similar solution for your business.