Historical view
Recent waste pattern snapshot
The public demo synthesizes a stable historical window using the same operational factors as the training script.
Model framing
What drives waste in this demo
- Meals served: higher meal volume increases the waste baseline.
- Day of week: weekend service adds extra buffet-style waste pressure.
- Temperature: hotter days increase spoilage risk.
- Special event: events create the biggest over-preparation jump.
Live prediction
Adjust the operating conditions
Predicted output
Estimated waste today
60.0
kg