Overview
This workflow automates the monitoring of Amazon product stock levels using Bright Data MCP for web scraping and OpenAI for intelligent data analysis. It ensures timely notifications to suppliers when products go out of stock, streamlining inventory management.
Key Features
- Scheduled Monitoring: Automatically checks Amazon product stock at defined intervals.
- Web Scraping: Utilizes Bright Data MCP to extract real-time product data from Amazon.
- AI Analysis: Employs OpenAI to interpret scraped data and determine stock status.
- Conditional Logic: Uses decision nodes to trigger actions based on stock availability.
- Automated Alerts: Sends email notifications to suppliers via Gmail when products are out of stock.
Benefits
- Reduces Manual Effort: Eliminates the need for manual stock checks, saving time and resources.
- Real-Time Insights: Provides up-to-date inventory information for proactive supply chain management.
- Minimizes Stockouts: Ensures suppliers are promptly informed, reducing the risk of lost sales.
- Seamless Integration: Connects scraping, AI, and email tools in a unified automated process.
Use Cases
- E-commerce businesses tracking Amazon inventory.
- Suppliers needing instant alerts for stock replenishment.
- Operations teams seeking automated inventory oversight.
