This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

How it works

This workflow automatically monitors competitor prices, analyzes market demand, and optimizes product pricing in real-time for maximum profitability using advanced AI algorithms.

Key Steps

1. Hourly Trigger - Runs automatically every hour for real-time price optimization and competitive response.
2. Multi-Platform Competitor Monitoring - Uses AI-powered scrapers to track prices from Amazon, Best Buy, Walmart, and Target.
3. Market Demand Analysis - Analyzes Google Trends data to understand search volume trends and seasonal patterns.
4. Customer Sentiment Analysis - Reviews customer feedback to assess price sensitivity and value perception.
5. AI Pricing Optimization - Calculates optimal prices using weighted factors including competitor positioning, demand indicators, and inventory levels.
6. Automated Price Updates - Directly updates e-commerce platform prices when significant opportunities are identified.
7. Comprehensive Analytics - Logs all pricing decisions and revenue projections to Google Sheets for performance tracking.

Set up steps

Setup time: 15-20 minutes

1. Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for AI-powered competitor and market analysis.
2. Set up e-commerce API connection - Connect your e-commerce platform API for automated price updates.
3. Configure Google Sheets - Set up Google Sheets connections for pricing history and revenue analytics logging.
4. Set up Slack notifications - Connect your Slack workspace for real-time pricing alerts and team updates.
5. Customize product catalog - Modify the product configuration with your actual products, costs, and pricing constraints.
6. Adjust monitoring frequency - Change the trigger timing based on your business needs (hourly, daily, etc.).
7. Configure competitor platforms - Update competitor URLs and selectors for your target market.

What you get

• Real-time price optimization with 15-25% potential revenue increase through intelligent pricing
• Competitive intelligence with automated monitoring of major e-commerce platforms
• Market demand insights with seasonal and trend-based pricing adjustments
• Customer sentiment analysis to understand price sensitivity and value perception
• Automated price updates when significant opportunities are identified (>2% change, >70% confidence)
• Comprehensive analytics with pricing history, revenue projections, and performance tracking
• Team notifications with detailed market analysis and pricing recommendations
• Margin protection with intelligent constraints to maintain profitability