# 07 - Demand Forecasting for Waste Reduction: Time-Series ML

Time-series ML models for food demand forecasting: LSTM, Prophet and waste reduction up to 50%.

## What you'll learn

- Regulatory Framework: from Italy's Gadda Law to Farm to Fork
- 1. Perishability and Narrow Selling Window
- 2. Multi-Level Seasonality
- 3. Non-Stationary Exogenous Variables
- 4. Long-Tail SKUs with Sparse Data

*This article is part of the **FoodTech** series on federicocalo.dev.*

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## Read the full article

The complete article (26 min read) with code examples, diagrams, and practical exercises is available here:

**➡️ [07 - Demand Forecasting for Waste Reduction: Time-Series ML](https://federicocalo.dev/en/blog/demand-forecasting-waste-reduction-time-series-ml)**

`https://federicocalo.dev/en/blog/demand-forecasting-waste-reduction-time-series-ml`

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*By [Federico Calò](https://federicocalo.dev) — Software Developer & Technical Writer*