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2019 | OriginalPaper | Chapter

Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting

Authors : Halima Bousqaoui, Said Achchab, Kawtar Tikito

Published in: Cloud Computing and Big Data: Technologies, Applications and Security

Publisher: Springer International Publishing

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Abstract

Due to the rapid technological advances, machine Learning or the ability of a machine to learn automatically has found applications in various fields. It has proven to be a valuable tool for aiding decision makers and improving the productivity of enterprise processes, due to its ability to learn and find interesting patterns in the data. Thereby, it is possible to improve supply chains processes by using Machine Learning which generates in general better forecasts than the traditional approaches.
As such, this chapter examines multiple Machine Learning algorithms, explores their applications in the various supply chain processes, and presents a long short-term memory model for predicting the daily demand in a Moroccan supermarket.

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Metadata
Title
Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting
Authors
Halima Bousqaoui
Said Achchab
Kawtar Tikito
Copyright Year
2019
Book
Cloud Computing and Big Data: Technologies, Applications and Security

Print ISBN: 978-3-319-97718-8

Electronic ISBN: 978-3-319-97719-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-97719-5_19