AI-Powered Personal Shopper for WooCommerce with RAG
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Elevate your e-commerce with an intelligent AI personal shopper. This workflow leverages OpenAI and Retrieval Augmented Generation (RAG) to understand customer needs and find perfect WooCommerce products, enhancing sales and customer satisfaction.
About This Workflow
This n8n workflow transforms your WooCommerce store into a highly personalized shopping experience. By integrating OpenAI's advanced language models with Retrieval Augmented Generation (RAG), it acts as a virtual personal shopper. Customers can interact with the AI through chat, expressing their product preferences, budget, and even specific SKUs. The workflow intelligently extracts this information, consults your product catalog via WooCommerce, and leverages RAG with Qdrant for context-aware product recommendations based on your store's specific information. It's designed to boost conversion rates by providing precise and relevant product suggestions, making online shopping more efficient and enjoyable.
Key Features
- Intelligent Product Discovery: Understands natural language queries to identify user intent and extract key product details like keywords, price ranges, and SKUs.
- Contextual Recommendations with RAG: Leverages RAG and a Qdrant vector store to provide recommendations grounded in your store's specific information (hours, contact, general info).
- Seamless WooCommerce Integration: Directly queries your WooCommerce catalog for real-time product availability and details.
- Conversational Memory: Maintains chat history to provide a more natural and personalized interaction experience.
- Dynamic Product Search: Dynamically filters products by SKU, keywords, price, and stock status for precise results.
How To Use
- Set up Webhook: Configure the "When chat message received" node with your chat platform's webhook to trigger the workflow.
- Initial Information Extraction: The "Edit Fields" node captures session and chat input. The "Information Extractor" node analyzes the chat input for search intent, keywords, price ranges, and SKUs using a custom schema.
- Conversational Memory: Utilize the "Window Buffer Memory" node to maintain context throughout the conversation.
- Product Search & Retrieval: Connect the "Information Extractor" output to the "personal_shopper" (WooCommerceTool) node to fetch products based on extracted parameters. Simultaneously, the "RAG" node interacts with the "Qdrant Vector Store" and "Embeddings OpenAI" to retrieve relevant contextual information about your store.
- AI Response Generation: The "OpenAI Chat Model" nodes process the retrieved information and the initial chat input to formulate a coherent and helpful response.
- Credential Configuration: Ensure your OpenAI and WooCommerce API credentials are correctly set up in n8n for all relevant nodes.
Apps Used
Workflow JSON
{
"id": "d2b3db00-5b4d-4b0e-9aba-996c5ad2ce54",
"name": "AI-Powered Personal Shopper for WooCommerce with RAG",
"nodes": 26,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: d2b3db00-5b4d...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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