WooCommerce Personal Shopper Chatbot with RAG & OpenAI

This n8n workflow creates an intelligent personal shopping assistant integrating OpenAI, WooCommerce, and Retrieval-Augmented Generation (RAG). It processes user chat messages to detect intent: product searches or general questions. For searches, it extracts keywords, price ranges, SKUs, and categories, then queries WooCommerce for in-stock matches. For inquiries, it retrieves relevant info from Google Drive docs via Qdrant vector store.

Key benefits include automated customer support, personalized shopping experiences, and reduced manual intervention for e-commerce stores. It saves time by handling routine queries 24/7, boosting sales through precise product recommendations, and ensuring accurate responses from your knowledge base.

Use cases: Online retailers using WooCommerce can deploy this for chat interfaces on websites or apps. Ideal for fashion stores (e.g., 'red handbags under $100'), policy questions ('return policy?'), or hours. Scalable for high-traffic shops with AI-driven efficiency.