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
A practical guide offering data-driven strategies and predictive analytics techniques to enhance demand forecasting and decision-making in retail supply chains.
About This Book
This book provides guidance on using data-driven methods to improve demand prediction in retail environments.
It is part of the Springer Series in Supply Chain Management and focuses on practical applications of predictive analytics.
Readers will find strategies for integrating analytics into retail decision-making processes.
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