Industry: E-Commerce / Retail
Overview
This case study details the implementation of an LLM-powered customer support chatbot for an international e-commerce platform. Integrated with inventory and logistics databases, the AI assistant automates customer inquiries and handles order-tracking updates at scale.
Business Problem
The e-commerce business faced scaling issues:
- Holiday traffic spikes caused massive queues, leading to customer delays and cart abandonment.
- Over 70% of support tickets were basic questions like “Where is my order?” or “How do I process a return?”
- Staff spent hours copying tracking numbers, leaving little time for complex shipping disputes.
How MyntiQ Tech Helped
MyntiQ Tech built a smart conversational AI support system:
- LLM Dialog Engine: Deployed an LLM trained on the brand’s policy docs to answer product and return questions accurately.
- Real-Time API Integrations: Connected the chatbot with Shopify and FedEx APIs, allowing it to retrieve and share live tracking updates securely.
- Sentiment Analysis Routing: Implemented sentiment analysis to transfer frustrated customers to human agents, along with the conversation log.
Business Outcomes Delivered
- Auto-resolved a high percentage of basic customer support tickets.
- Reduced median support ticket response times, improving customer satisfaction metrics.
- Protected support margins during high-traffic seasons without requiring temporary staff.
