Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management, 14)
by Maxime C Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
Demand Prediction in Retail offers a practical introduction to using data and predictive analytics for retail demand prediction. Written within the context of supply chain management, it provides a focused resource for readers interested in the methods and applications of demand forecasting in retail.
About This Book
Demand Prediction in Retail presents a practical guide to understanding retail demand prediction.
The book focuses on leveraging data and predictive analytics in a retail and supply chain management context.
It is part of the Springer Series in Supply Chain Management.
The book is authored by Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, and Renyu Zhang.
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