Price: $39.89
(as of Dec 26,2024 14:35:34 UTC – Details)
ASIN : B09PJF1JLF
Publisher : Springer (January 1, 2022)
Publication date : January 1, 2022
Language : English
File size : 10540 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 247 pages
In today’s fast-paced retail environment, accurately predicting consumer demand is crucial for maximizing profitability and minimizing inventory costs. Leveraging data and predictive analytics can provide retailers with valuable insights into future demand trends, allowing them to make more informed decisions and better serve their customers.
In our latest book, “Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics,” we explore the key concepts and techniques behind demand prediction in the retail industry. Drawing on real-world examples and case studies, we provide practical guidance on how retailers can harness the power of data and analytics to forecast demand with greater accuracy and precision.
From understanding the fundamentals of demand forecasting to implementing advanced predictive models, this book offers a comprehensive overview of the tools and strategies that retailers can use to optimize their supply chain management and drive business growth. Whether you’re a seasoned industry professional or just starting out in the field, this book is an essential resource for anyone looking to stay ahead of the curve in today’s competitive retail landscape.
Available now as part of the Springer Series in Supply Chain Management, “Demand Prediction in Retail” is a must-read for retailers looking to leverage data and analytics to gain a competitive edge in the market. Order your copy today and start unlocking the power of predictive analytics in your retail operations.
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