AI Personal Shopper with RAG for WooCommerce
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Revolutionize your e-commerce customer experience with an AI-powered personal shopper. This n8n workflow intelligently integrates OpenAI, RAG (Retrieval Augmented Generation), and WooCommerce to provide dynamic product recommendations and instant answers to store-related queries through a conversational interface.
About This Workflow
Elevate your online store's customer engagement with this advanced n8n workflow, designed to act as a sophisticated AI personal shopper. It seamlessly combines the power of OpenAI's language models, a robust Retrieval Augmented Generation (RAG) system for comprehensive knowledge retrieval, and direct integration with your WooCommerce store. From understanding complex product inquiries to fetching specific store information like opening hours or contact details, this workflow delivers a fluid, intelligent, and personalized shopping assistant experience. It significantly reduces the burden on your customer service team while enriching the shopper's journey, making product discovery effortless and support readily available 24/7.
Key Features
- Intelligent Conversational Interface: Engage customers through a natural language chat interface, powered by OpenAI, offering an intuitive shopping experience.
- Dynamic Product Search: Instantly query your WooCommerce catalog based on user-specified keywords, price ranges, SKUs, and categories, providing highly relevant product suggestions.
- Contextual Store Information (RAG): Access and provide detailed store information (e.g., opening hours, address, policies) using a Qdrant-backed RAG system, ensuring accurate and up-to-date answers.
- Persistent Conversation Memory: Maintain context across interactions with window buffer memory, ensuring a personalized and coherent shopping experience for returning customers.
- Automated Information Extraction: Automatically identify and extract critical details like product keywords, price constraints, and categories from unstructured chat messages, translating natural language into actionable data.
How To Use
- Connect Chat Trigger: Configure the
When chat message receivednode to listen for incoming messages from your preferred chat platform or custom chat widget. - Set Up OpenAI Credentials: Ensure your OpenAI API key is connected to all
OpenAI Chat ModelandEmbeddings OpenAInodes for language model and embedding operations. - Integrate WooCommerce: Provide your WooCommerce API credentials to the
personal_shoppernode for seamless access to your product catalog and dynamic searching. - Configure RAG Knowledge Base: Set up your Qdrant vector store and define the collection (e.g., "scarperia" in this example) that holds your store's general information embeddings.
- Customize Information Extraction: Adjust the
systemPromptTemplatewithin theInformation Extractornode to fine-tune how product search parameters and user intents are identified from chat inputs.
Apps Used
Workflow JSON
{
"id": "2eb48ac4-4ac3-49ef-ac95-8bb8e9b6d13f",
"name": "AI Personal Shopper with RAG for WooCommerce",
"nodes": 27,
"category": "Marketing",
"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: 2eb48ac4-4ac3...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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