E-Commerce AI Assistant: Shopify, WooCommerce, GPT-4o, RAG

This n8n workflow creates a sophisticated multi-agent AI assistant tailored for e-commerce operations, supporting Shopify and WooCommerce platforms alongside a Retrieval-Augmented Generation (RAG) system for general queries. It begins with a chat trigger capturing user messages and session IDs, then uses a GPT-4o-mini Router Agent to classify intents into 'SHOPIFY', 'WOOCOMMERCE', or 'None', enabling precise conditional branching via IF nodes.

For Shopify queries, it leverages GraphQL to fetch order statuses and product data. WooCommerce paths retrieve product lists and handle store-specific tasks. General queries route to RAG: user input is embedded via AWS Bedrock, searched in a Pinecone vector database for relevant context, and answered intelligently, ensuring accurate, context-aware responses across all paths.

Benefits include streamlined customer support, reduced manual intervention, and scalable automation for high-volume e-commerce sites. Use cases: order tracking, product inquiries, troubleshooting, knowledge base Q&A, saving hours weekly while boosting satisfaction. Ideal for online stores integrating AI without custom development.