Applying Machine Learning in Retail Demand Prediction—A Comparison of Tree-Based Ensembles and Long Short-Term Memory-Based Deep Learning

Applying Machine Learning in Retail Demand Prediction—A Comparison of Tree-Based Ensembles and Long Short-Term Memory-Based Deep Learning

In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, specifically using extra tree Regressors (ETRs) and...

Full description

Bibliographic Details
Main Authors: Mehran Nasseri, Taha Falatouri, Patrick Brandtner, Farzaneh Darbanian
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
demand prediction
forecasting
ensemble models
deep learning
extra tree regressor
LSTM
Online Access:https://www.mdpi.com/2076-3417/13/19/11112

Internet

https://www.mdpi.com/2076-3417/13/19/11112

Similar Items