Driving Near-Zero Waste with FoodFlow’s AI Analytics

Drawing from FoodFlow’s case study and Silo’s closed-loop system, this post showcases how FoodFlow’s scanning and AI analytics identify waste patterns and suggest corrective actions, helping hotels reduce waste by up to 50%, saving costs, and boosting sustainability.
How-To:

• Step 1: Deploy FoodFlow bins across all kitchen stations to scan and weigh waste in real-time.
• Step 2: Train chefs to log disposal reasons in FoodFlow for accurate waste categorization.
• Step 3: Implement FoodFlow’s AI corrective actions, like reducing overproduction of high-waste items.
• Step 4: Monitor FoodFlow’s analytics dashboard to track waste reduction progress.
• Step 5: Share FoodFlow’s waste reduction metrics with stakeholders to highlight sustainability gains.