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%.
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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
- Perishability and Narrow Selling Window
- Multi-Level Seasonality
- Non-Stationary Exogenous Variables
- Long-Tail SKUs with Sparse Data
This article is part of the FoodTech series on federicocalo.dev.
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
By Federico Calò — Software Developer & Technical Writer