Automate Ingredient Price Tracking & Smart Buying
detail.loadingPreview
Streamline your procurement process by automatically tracking ingredient price trends. Get intelligent buying suggestions delivered directly to your team, ensuring you always secure the best deals.
About This Workflow
This workflow revolutionizes how businesses manage ingredient costs. It automates the daily fetching of ingredient prices from an external API and securely stores this historical data in a PostgreSQL database. Advanced SQL queries then analyze price fluctuations over the past 30 days to identify trends and calculate percentage changes. Based on these insights, a custom code node generates actionable buying recommendations, categorizing them by urgency (High, Medium, Low) and providing clear reasons. Finally, these crucial recommendations are stored in a dedicated database table for easy access and further integration, empowering proactive and cost-effective purchasing decisions.
Key Features
- Automated Daily Price Monitoring: Continuously track ingredient prices without manual intervention.
- Historical Data Storage: Build a robust database of price fluctuations for in-depth analysis.
- Intelligent Trend Analysis: Leverage SQL to identify rising, falling, and stable price patterns.
- Actionable Buying Recommendations: Receive clear, prioritized suggestions (e.g., BUY NOW, CONSIDER BUYING, AVOID BUYING).
- Customizable Logic: The recommendation engine can be easily adapted to your specific procurement thresholds.
How To Use
- Configure Cron Trigger: Set the 'Daily Price Check' node to run at your desired frequency (e.g., daily).
- Set API Endpoint: Update the 'Fetch API Prices' node with your specific ingredient API URL.
- Connect to Database: In the 'Store Price Data' and 'Store Recommendations' nodes, configure your PostgreSQL connection details, including credentials and the target tables (
price_history,buying_recommendations). Ensure theprice_historytable has columns likeingredient,price,timestamp, etc., andbuying_recommendationshas columns likeingredient,current_price,price_change_percent,recommendation,urgency,reason. - Review SQL Query: Examine the 'Calculate Trends' node's SQL query and adjust the
INTERVALclause (e.g.,'30 days') if you need to analyze price history over a different period. - Customize Recommendations: Modify the JavaScript code in the 'Generate Recommendations' node to adjust the price change percentage thresholds and the logic for generating recommendations based on your business needs.
- Enable and Run: Activate the workflow to start tracking prices and receiving smart buying suggestions.
Apps Used
Workflow JSON
{
"id": "77e4d6a9-4344-42f5-b091-d5ac23a9e001",
"name": "Automate Ingredient Price Tracking & Smart Buying",
"nodes": 22,
"category": "Operations",
"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: 77e4d6a9-4344...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Universal CSV to JSON API Converter
Effortlessly transform CSV data into structured JSON with this versatile n8n workflow. Integrate it into any application as a custom API endpoint, supporting various input methods including file uploads and raw text.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.