AI Customer Support Chatbot for E-Commerce

A DTC e-commerce brand was drowning in repetitive support tickets. Their 3-person support team spent 80% of their time answering the same questions: order status, return policies, shipping timelines, and product sizing. Response times averaged 4-6 hours, and customer satisfaction was dropping.

I built an AI-powered customer support chatbot using RAG (Retrieval-Augmented Generation) architecture:

Knowledge Base: Ingested 200+ FAQ entries, product catalogs, and policy documents into a vector database

AI Engine: OpenAI GPT-4 with custom prompts tuned for the brand's tone of voice

Orchestration: N8N workflows handling conversation routing, escalation logic, and CRM updates

Fallback System: Smart handoff to human agents when confidence drops below threshold

Integrations: Connected to Shopify for real-time order tracking, returns processing, and inventory checks

Python, LangChain, OpenAI GPT-4, N8N, Node.js, Pinecone (vector DB), Shopify API

70% reduction in support tickets reaching human agents

85% faster average response time (from 4-6 hours to under 30 seconds)

92% accuracy on first-response resolution

Support team reallocated to high-value customer interactions

$4,200/month saved in support staffing costs