Autonomous Customer Support Agent for E-Commerce
Client: D2C E-Commerce Brand
The Challenge
A direct-to-consumer brand with 200K+ monthly orders was struggling with customer support scalability. Their team of 15 agents handled 4,000+ tickets weekly across email, chat, and social media. Response times averaged 8 hours, CSAT scores were declining, and hiring more agents wasn't economically viable during seasonal peaks.
Our Solution
We built an autonomous AI support agent powered by a fine-tuned LLM with access to order management, shipping, and product knowledge bases. The agent handles order status inquiries, returns/exchanges, product questions, and shipping issues end-to-end — including executing actions like initiating refunds and updating shipping addresses via API integrations. Complex cases are escalated to human agents with full context.
The Results
The AI agent now resolves 72% of support tickets autonomously. Average first response time dropped from 8 hours to under 30 seconds. CSAT scores improved from 3.6 to 4.4 out of 5. The human team now focuses on complex cases and VIP customers, improving overall service quality.
Technologies Used
"The AI agent handles the majority of our support volume with quality that matches our best human agents. Our team can finally focus on the complex cases that actually need a human touch."