Overview
This workflow automates the prediction of restaurant food waste by leveraging Gemini AI and Google Sheets for data management and reporting. It is designed to help restaurants optimize inventory, reduce waste, and improve operational efficiency.
Key Features
- Daily Automation: Initiated by a scheduled trigger to run predictions every day.
- Data Integration: Fetches historical sales data from Google Sheets for accurate forecasting.
- AI Forecasting: Utilizes Gemini AI via LangChain nodes to generate precise waste predictions.
- Data Processing: Formats and cleans data before and after AI processing for consistency.
- Reporting: Logs AI-generated forecasts back into Google Sheets for record-keeping and analysis.
- Automated Communication: Summarizes and sends forecast reports via Gmail to relevant stakeholders.
Benefits
- Reduces Food Waste: Enables proactive inventory management, minimizing overproduction and spoilage.
- Saves Time: Automates manual data collection, analysis, and reporting tasks.
- Improves Decision-Making: Provides actionable insights through daily AI-driven forecasts.
- Enhances Collaboration: Ensures teams are informed with timely email summaries.
Use Cases
- Restaurant managers seeking to optimize food ordering and reduce costs.
- Operations teams aiming for sustainability and efficiency.
- Businesses needing automated, AI-powered analytics and reporting.
Integrations
- Google Sheets for data storage and reporting
- Gemini AI (via LangChain) for predictive analytics
- Gmail for automated email notifications
