









Master the art of demand prediction in retail with this practical guide. From data collection to visualization, learn to leverage data and predictive analytics to forecast future demand accurately. This comprehensive overview is illustrated with relevant code and implementation details, making it easy to demystify how historical data can be used to predict future outcomes. Applicable to both online and brick-and-mortar retail settings like fashion, electronics, groceries, and furniture, this book is ideal for students in business analytics, data scientists, and supply chain practitioners. Understand how to clean and pre-process data, common implementation caveats, and how to assess prediction accuracy. Key Features: * Comprehensive guide to demand prediction in retail * Practical code and implementation details included * Applicable to various retail settings (online and brick-and-mortar) * Suitable for students, data scientists, and practitioners Summary: Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics by Maxime C. Cohen. This hardcover book, ISBN 9783030858544, is the first edition, written in English, and contains 155 pages. It provides a detailed walkthrough of demand forecasting techniques for retail applications.
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Details:Master the art of demand prediction in retail with this practical guide. From data collection to visualization, learn to leverage data and predictive analytics to forecast future demand accurately. This comprehensive overview is illustrated with relevant code and implementation details, making it easy to demystify how historical data can be used to predict future outcomes. Applicable to both online and brick-and-mortar retail settings like fashion, electronics, groceries, and furniture, this book is ideal for students in business analytics, data scientists, and supply chain practitioners. Understand how to clean and pre-process data, common implementation caveats, and how to assess prediction accuracy. Key Features: * Comprehensive guide to demand prediction in retail * Practical code and implementation details included * Applicable to various retail settings (online and brick-and-mortar) * Suitable for students, data scientists, and practitioners Summary: Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics by Maxime C. Cohen. This hardcover book, ISBN 9783030858544, is the first edition, written in English, and contains 155 pages. It provides a detailed walkthrough of demand forecasting techniques for retail applications.
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Master the art of demand prediction in retail with this practical guide. From data collection to visualization, learn to leverage data and predictive analytics to forecast future demand accurately. This comprehensive overview is illustrated with relevant code and implementation details, making it easy to demystify how historical data can be used to predict future outcomes. Applicable to both online and brick-and-mortar retail settings like fashion, electronics, groceries, and furniture, this book is ideal for students in business analytics, data scientists, and supply chain practitioners. Understand how to clean and pre-process data, common implementation caveats, and how to assess prediction accuracy. Key Features: * Comprehensive guide to demand prediction in retail * Practical code and implementation details included * Applicable to various retail settings (online and brick-and-mortar) * Suitable for students, data scientists, and practitioners Summary: Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics by Maxime C. Cohen. This hardcover book, ISBN 9783030858544, is the first edition, written in English, and contains 155 pages. It provides a detailed walkthrough of demand forecasting techniques for retail applications.
General | |
|---|---|
format | hardcover |
Language | english |
type | book |
Brand | Springer Nature Switzerland AG |
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