Predict Restaurant Food Waste with Gemini AI & Google Sheets

This n8n workflow enables restaurants to predict food waste and optimize inventory through daily AI-driven forecasts. It fetches historical sales and usage data from Google Sheets, formats it for analysis, and leverages Gemini AI to generate predictions on future demand, incorporating factors like weather and seasonal trends. The structured output is logged back to Sheets for tracking and summarized in an email report for staff review.

Key benefits include significant reduction in food waste, precise inventory management, and enhanced operational efficiency. As more data accumulates, AI accuracy improves, providing increasingly reliable insights. This saves time on manual forecasting, cuts costs, and supports data-driven decisions, with seamless integrations ensuring reliable automation.

Ideal use cases span single restaurants to chains, food service providers, or any business tracking perishables. It's perfect for daily operations where demand fluctuates, ensuring staff receive actionable reports via email without manual intervention. Setup requires Google Sheets authorization and Gemini API access for immediate value.

The workflow runs on a schedule, processes data end-to-end, and scales with business growth, making it a powerful tool for sustainability and profitability in the food industry.