株式会社極東書店トップ ＞ 商品一覧 ＞ Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics. 2022 ed.
商品詳細
Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics. 2022 ed.
・ISBN 978-3-030-85857-5 paper EUR 64.99
￥17,371.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Cohen, Maxime C. / Gras, Paul-Emile / Pentecoste, Arthur / Zhang, Renyu, |
|---|---|
| シリーズ | (Springer Series in Supply Chain Management) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 155 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-54429＞ |
解説
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.