AI Customer Support Automation for an E-commerce Brand
Reducing support workload with an intelligent AI assistant that handles common customer requests.
Services:
AI Chatbot Development
Year:
2024
Duration:
5 Weeks
Result:
Average response time improved by 72%
Transforming Customer Support with AI
NovaCart’s support team handled a growing volume of repetitive customer inquiries related to order status, shipping, and returns as the company expanded.
Ticket volume had roughly tripled over eighteen months as NovaCart’s order volume grew, but the support team had only added two new hires in that time. Response times were stretching from hours into a full business day during peak periods, and customer satisfaction scores were starting to slip.
NovaCart didn’t want a support experience that felt automated — they wanted the routine questions answered instantly and invisibly, so agents could spend their time on the customers who actually needed a person.
Support Team Overwhelmed by Repetitive Requests
Most tickets involved simple questions that required manual responses from agents. This increased response times and reduced the team’s ability to handle more complex support issues.
An internal audit found that roughly six in ten tickets asked one of the same handful of questions — where’s my order, how do I start a return, what’s your shipping policy — each answerable directly from data the company already had. Agents were retyping near-identical replies dozens of times a day.
Because those routine tickets sat in the same queue as genuinely complex ones, urgent issues were getting delayed behind simple lookups, and the team’s average handle time kept climbing even as the mix of work stayed roughly the same.
Deploying an AI-Powered Support Assistant
We created an AI assistant trained on NovaCart’s help center and policies. It automatically responds to common inquiries and routes complex requests to human agents when necessary.
The assistant is connected directly to NovaCart’s order and shipping systems, so it can pull a real order status or return window instead of giving a generic answer. Customers get a specific, accurate response in seconds, any time of day, without waiting in a queue.
Anything outside its confidence threshold — a damaged item, a billing dispute, an angry customer — is handed to a human agent with the full conversation history attached, so nothing gets re-explained. Response times dropped and agents now spend their day on the tickets that actually need judgment.
