Overview
This workflow implements an intelligent personal shopper chatbot for WooCommerce stores, leveraging Retrieval-Augmented Generation (RAG) with OpenAI and Google Drive integration. It provides real-time, context-aware shopping assistance to customers via chat.
Key Features
- Chat Trigger: Listens for incoming customer messages.
- Contextual Memory: Maintains conversation context using buffer memory.
- RAG Integration: Retrieves relevant product data from Google Drive and Qdrant vector store.
- OpenAI Chat Model: Generates personalized, AI-driven responses.
- WooCommerce Tool: Interacts directly with WooCommerce for product recommendations and order details.
- Calculator Tool: Handles price calculations and queries.
Benefits
- Enhances customer experience with instant, tailored shopping advice.
- Reduces manual support workload by automating product queries and recommendations.
- Increases conversion rates through proactive, intelligent engagement.
- Ensures up-to-date product information by integrating with Google Drive and WooCommerce.
Use Cases
- E-commerce stores seeking to automate customer support and product recommendations.
- Businesses wanting to leverage AI for personalized shopping experiences.
- Teams aiming to streamline product data management and customer interaction.
