Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities

Abstract Big data analytics (BDA) in supply chain management (SCM) is receiving a growing attention. This is due to the fact that BDA has a wide range of applications in SCM, including customer behavior analysis, trend analysis, and demand prediction. In this survey, we investigate the predictive BD...

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Bibliographic Details
Main Authors: Mahya Seyedan, Fereshteh Mafakheri
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Journal of Big Data
Subjects:
Demand forecasting
Supply chain management
Closed-loop supply chains
Big data analytics
Machine-learning
Online Access:http://link.springer.com/article/10.1186/s40537-020-00329-2

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