E-commerceAI Chatbot

E-commerce AI Chatbot: 70% Ticket Deflection

Key Result

70% deflection rate, 4.6/5 CSAT

The Challenge

A fast-growing e-commerce company was overwhelmed with 3,000+ daily support tickets. Over 60% of these were repetitive queries about order status, returns, and product sizing that didn't require human expertise.

Average response time during peak periods exceeded 4 hours, damaging customer satisfaction scores and driving negative reviews. The support team was burning out from repetitive work instead of focusing on complex issues that needed human judgment.

The company needed an AI-powered solution that could handle routine queries instantly while maintaining a premium customer experience and seamlessly escalating complex issues to human agents.

Our Solution

AINinza built an LLM-powered chatbot with RAG over the full product catalogue of 15,000+ products and deep integration with the order management API. The system handles multi-turn conversations naturally, understanding context and resolving queries across multiple topics in a single session.

The chatbot includes seamless human handoff for complex issues, with full conversation context passed to the agent. Confidence scoring ensures the bot only answers when it has high certainty, and gracefully escalates when it doesn't.

Tech Stack

OpenAI GPT-4PineconeNode.jsShopify API

Results

70%

Ticket Deflection

4.6/5

CSAT Score

55%

Reduction in Support Cost

Project Timeline

1

Knowledge Base Setup & RAG Pipeline

3 weeks

2

Chatbot Development & Training

4 weeks

3

Integration Testing & Edge Case Handling

3 weeks

4

Phased Rollout & Monitoring

2 weeks

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