n8n Workflow: Dynamic Pricing with AI Competitor Monitoring and Revenue Optimization

This n8n workflow provides a framework for implementing a dynamic pricing strategy by monitoring competitor prices, analyzing data, and notifying stakeholders of potential pricing adjustments. While the provided JSON defines the core structure, it's designed to be extended with AI integration for sophisticated analysis and decision-making.

What it does

This workflow outlines the following key steps:

1. Scheduled Execution: The workflow is triggered at regular intervals (e.g., daily, hourly) to initiate the pricing analysis process.
2. Fetch Competitor Data (Placeholder): An HTTP Request node is included as a placeholder to fetch competitor pricing data from an external API or scraping service. This is where you would integrate your specific data source.
3. Process and Analyze Data (Placeholder): A Code node is included for custom JavaScript logic. This is intended for:
   • Parsing the fetched competitor data.
   • Applying AI models (e.g., via an external API call from within the Code node) to analyze competitor pricing, market trends, and potentially recommend new pricing.
   • Comparing current product prices with competitor prices and AI recommendations.
4. Store Data (Placeholder): A Google Sheets node is included as a placeholder to store the processed data, competitor prices, and potentially AI-generated recommendations for historical tracking and further analysis.
5. Conditional Notification: An If node checks a condition (e.g., if a significant price change is recommended or detected).
6. Notify Stakeholders (Success): If the condition is met (e.g., a price adjustment is recommended), an email is sent to relevant stakeholders with details.
7. Notify Stakeholders (No Change/Error): If the condition is not met (e.g., no significant change, or an issue occurred), a Slack message is sent to a team channel, indicating the status of the pricing run.
8. Batch Processing: The "Loop Over Items" node suggests that the workflow is designed to process multiple products or competitor data points in batches, ensuring efficient handling of large datasets.
9. Merge Results: The "Merge" node combines the results from different branches of the workflow, likely before final storage or notification.

Prerequisites/Requirements

To use and extend this workflow, you will need:

• n8n Instance: A running n8n instance.
• Google Sheets Account: For storing and tracking pricing data.
• Email Service (SMTP): Configured for sending email notifications.
• Slack Account: For sending internal team notifications.
• Competitor Data Source: An API endpoint or a web scraping solution to retrieve competitor pricing information. This will be configured in the "HTTP Request" node.
• AI Service/Model (Optional but Recommended): For advanced pricing recommendations, you'll need access to an AI service (e.g., OpenAI, custom ML model API) that can be called from the "Code" node.
• n8n Credentials: Appropriate credentials configured in n8n for Google Sheets, Email (SMTP), Slack, and any external APIs (e.g., for competitor data or AI services).

Setup/Usage

1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
2. Configure Credentials:
   • Set up your Google Sheets credentials.
   • Configure your Email (SMTP) credentials.
   • Set up your Slack credentials.
   • Add any necessary API credentials for your competitor data source or AI service.
3. Customize "HTTP Request" Node (ID: 19):
   • Update the URL and authentication to fetch data from your competitor monitoring service or API.
4. Customize "Code" Node (ID: 834):
   • Implement JavaScript logic to parse the data from the "HTTP Request" node.
   • Add logic to call your AI service for pricing recommendations (if applicable).
   • Implement the comparison logic between current prices, competitor prices, and AI recommendations.
   • Prepare the output data for Google Sheets and the conditional "If" node.
5. Customize "Google Sheets" Node (ID: 18):
   • Specify the Spreadsheet ID and Sheet Name where you want to store the data.
   • Map the data from the "Code" node to the appropriate columns in your Google Sheet.
6. Customize "If" Node (ID: 20):
   • Define the condition for when a price change notification should be sent (e.g., {{ $json.recommendedPriceChange > 5 }}).
7. Customize "Send Email" Node (ID: 11):
   • Set the recipient email address, subject, and body of the email, using data from previous nodes to provide details about the recommended price changes.
8. Customize "Slack" Node (ID: 40):
   • Specify the Slack channel and customize the message to be sent when no significant price change is detected or for general status updates.
9. Configure "Schedule Trigger" Node (ID: 839):
   • Set the desired interval for the workflow to run (e.g., every day at a specific time, every few hours).
10. Activate the Workflow: Once configured, activate the workflow to enable automated dynamic pricing adjustments and monitoring.

This workflow provides a robust foundation for automating dynamic pricing. Further enhancements could include more sophisticated error handling, versioning of pricing changes, and integration with e-commerce platforms for automatic price updates.