Opening book details…
Can I read Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management Book 14) on EtoBox?
Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management Book 14) by Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang is a nonfiction available to read on EtoBox.
What is Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management Book 14) about?
from Data Collection To Evaluation And Visualization Of Prediction Results, This Book Provides A Comprehensive Overview Of The Entire Process Of Predicting Demand For Retailers. It Introduces Readers To Various Methods And Approaches For Demand Prediction. 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 To Better Master How To Leverage Data For Predicting Demand In Retail Applications. It Can Also Be Used As A Guide For Supply Chain Practitioners And Forecasters 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 Demand Prediction Implementation And How To Assess Prediction Accuracy. “to Remain Competitive In Today's Economy, It Is Imperative For Retai
Who reads Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics (Springer Series in Supply Chain Management Book 14)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783030858544
- Category
- nonfiction
- Subjects
- Business, Science, Management
More by Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
Browse all works by Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
Similar books
- Capacity Allocation Mechanisms and Coordination in Supply Chain Under Demand Competition — Jianbin Li & Xueyuan Cai & Binbin Li (2022)
- Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management — Dinesh K. Sharma; Madhu Jain (2022)
- Operations in an Omnichannel World (Springer Series in Supply Chain Management Book 8) — Antonio Moreno Santiago Gallino (2019)
- Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies — D'Arcy, Aoife; Kelleher, John D.; Mac Namee, Brian (2015)
- Data Science for Supply Chain Forecasting — Nicolas Vandeput (2021)
- Springer eBooks -- Large-Scale Data Analytics — Sherif Sakr, Anna Liu (auth.), Aris Gkoulalas-Divanis, Abderrahim Labbi (2014)