Ingredient Price Trend Analysis & Buying Recommendations with PostgreSQL, API & Slack

This automated n8n workflow tracks ingredient price changes from external APIs or manual inputs, analyzes historical trends, and offers smart buying recommendations. It stores price fluctuations in a PostgreSQL database, generates actionable insights, and sends alerts via email and Slack to assist restaurants in optimizing purchasing decisions.

• Tracks price trends to support cost-effective buying.
• Provides actionable insights based on historical data.
• Reduces expenses with smart purchasing suggestions.
• Keeps teams informed with timely email and Slack alerts.

• Daily Trigger: Activates the workflow each day at 12:34 PM IST to check prices.
• Fetch Price Data: Pulls current ingredient prices from external APIs or manual input.
• Store in PostgreSQL: Saves price data and trends into a PostgreSQL database.
• Analyze Trends: Examines historical data for price fluctuation patterns.
• Generate Recommendations: Creates buying recommendations based on analysis.
• Format Alerts: Prepares alerts with insights for email and Slack.
• Send Email Notification: Delivers the alert via email to stakeholders.
• Send Slack Notification: Sends the alert to the Slack channel for team updates.

See the full workflow explanation at: Official Workflow Page.

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