Cohen Maxime C (59 results)
Precision Retailing : Driving Results With Behavioral Insights and Data Analytics
Dubé, Laurette (EDT); Cohen, Maxime, C. (EDT); Yang, Nathan (EDT); Monla, Bassem (EDT)
Language: English
Published by Rotman-UTP Publishing, 2024
- Hardcover
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Precision Retailing : Driving Results With Behavioral Insights and Data Analytics
Dubé, Laurette (EDT); Cohen, Maxime, C. (EDT); Yang, Nathan (EDT); Monla, Bassem (EDT)
Language: English
Published by Rotman-UTP Publishing, 2024
- Hardcover
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Precision Retailing : Driving Results With Behavioral Insights and Data Analytics
Dubé, Laurette (EDT); Cohen, Maxime, C. (EDT); Yang, Nathan (EDT); Monla, Bassem (EDT)
Language: English
Published by Rotman-UTP Publishing, 2024
- Hardcover
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Precision Retailing : Driving Results With Behavioral Insights and Data Analytics
Dubé, Laurette (EDT); Cohen, Maxime, C. (EDT); Yang, Nathan (EDT); Monla, Bassem (EDT)
Language: English
Published by Rotman-UTP Publishing, 2024
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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paperback. Condition: Very Good. Cover and edges may have some wear. Clean, unmarked copy.
Precision Retailing Driving Results with Behavioral Insights and Data Analytics
Dubï, Laurette (Editor)/ Cohen, Maxime, C. (Editor)/ Yang, Nathan (Editor)/ Monla, Bassem (Editor)
Language: English
Published by Guidance Centre Univ of Toronto, 2024
- Hardcover
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Hardcover. Condition: Brand New. 320 pages. 9.00x6.00x1.00 inches. In Stock.
Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
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Language: English
Published by Springer Nature Switzerland AG, Cham, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
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Paperback. Condition: new. Paperback. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be levera…ged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer Nature Switzerland AG, CH, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. 2022 ed. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leverage…d to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.
Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management)
Cohen, Maxime C.,Gras, Paul-Emile,Pentecoste, Arthur,Zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C. Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang,
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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paperback. Condition: New.
Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Demand Prediction In Retail 1st ed. 2022
Cohen, Maxime C.;gras, Paul-Emile;pentecoste, Arthur;zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
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Buch. Condition: Neu. Neuware -Bringing together some of the world s foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learning, computer vision, large-language models, and generative AI in action how they re used to refi…ne demand forecasts, optimize inventories, and drive down costs while service levels soar. The book examines AI-driven demand forecasting and inventory optimization, which enhances the accuracy of predicting customer demand and managing inventory levels to reduce costs and improve service. It covers intelligent logistics and transportation management, and utilizing AI to optimize routing, scheduling, and fleet management, which leads to increased efficiency and sustainability. The discussion extends to procurement and supplier relationship management, where procurement processes are streamlined and supplier partnerships are strengthened through AI-driven analytics and decision-making tools. In turn, the book confronts the hard questions of ethics, data privacy, and algorithmic bias, equipping readers to harness AI s power responsibly and ethically across the entire supply chain.These topics are vital, as they address the pressing need for supply chains to become more agile, resilient, and responsive in today s rapidly changing global market. By exploring these areas, the book aims to provide readers with a nuanced understanding of the current landscape and future directions of AI in supply chain management. The problem this book sets out to solve is the knowledge gap between the theoretical potential of AI and its practical application within supply chains around the globe. By presenting real-world examples, case studies, and expert analyses, it offers actionable insights that can be applied to enhance operational efficiency and strategic decision-making.The book is intended for supply chain professionals, business leaders, academics, policymakers, and students seeking a better grasp of the intersection of AI and supply chain management. It serves as both a reference guide and a source of inspiration for those looking to leverage AI technologies to drive innovation and competitiveness in their organizations. 308 pp. Englisch.
Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
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Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14)
Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
Language: English
Published by Springer 2021-12-24, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management)
Cohen, Maxime C.; Gras, Paul-Emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Demand Prediction in Retail : A Practical Guide to Leverage Data and Predictive Analytics
Cohen, Maxime C.; Gras, Paul-emile; Pentecoste, Arthur; Zhang, Renyu
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
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Language: English
Published by Springer Nature Switzerland AG, CH, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 2022 ed. From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged… to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture.This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.
Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics: 14 (Springer Series in Supply Chain Management, 14)
Cohen, Maxime C./ Gras, Paul-Emile/ Pentecoste, Arthur/ Zhang, Renyu
Language: English
Published by Springer, 2022
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 172 pages. 9.25x6.10x0.63 inches. In Stock.
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- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bringing together some of the world s foremost supply-chain thinkers, this book shows how artificial intelligence (AI) is rewriting the rules of global supply chain management. It explores machine learning, computer vision, large-language models, and gene…rative AI in action how they re used to refine demand forecasts, optimize inventories, and drive down costs while service levels soar. The book examines AI-driven demand forecasting and inventory optimization, which enhances the accuracy of predicting customer demand and managing inventory levels to reduce costs and improve service. It covers intelligent logistics and transportation management, and utilizing AI to optimize routing, scheduling, and fleet management, which leads to increased efficiency and sustainability. The discussion extends to procurement and supplier relationship management, where procurement processes are streamlined and supplier partnerships are strengthened through AI-driven analytics and decision-making tools. In turn, the book confronts the hard questions of ethics, data privacy, and algorithmic bias, equipping readers to harness AI s power responsibly and ethically across the entire supply chain.These topics are vital, as they address the pressing need for supply chains to become more agile, resilient, and responsive in today s rapidly changing global market. By exploring these areas, the book aims to provide readers with a nuanced understanding of the current landscape and future directions of AI in supply chain management. The problem this book sets out to solve is the knowledge gap between the theoretical potential of AI and its practical application within supply chains around the globe. By presenting real-world examples, case studies, and expert analyses, it offers actionable insights that can be applied to enhance operational efficiency and strategic decision-making.The book is intended for supply chain professionals, business leaders, academics, policymakers, and students seeking a better grasp of the intersection of AI and supply chain management. It serves as both a reference guide and a source of inspiration for those looking to leverage AI technologies to drive innovation and competitiveness in their organizations.
Language: English
Published by Springer, 2021
Series: Book 12 of 23 - Springer Series in Supply Chain Management
- Hardcover
Seller: Speedyhen, Hertfordshire, United KingdomSpeedyhen
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