Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy /
"Helps companies understand the short-term changes in consumer demand patterns as a result of the digital economy, and COVID-19. Also, what is driving those changing consumer demand patterns (price, sales promotions, in-store merchandizing, epidemiological, economic and other related factors li...
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Main Authors: | |
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Corporate Authors: | |
Published: |
John Wiley & Sons, Inc.,
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Publisher Address: | Hoboken, New Jersey : |
Publication Dates: | [2021] |
Literature type: | eBook |
Language: | English |
Series: |
Wiley and SAS business series. |
Subjects: | |
Online Access: |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119809890 |
Summary: |
"Helps companies understand the short-term changes in consumer demand patterns as a result of the digital economy, and COVID-19. Also, what is driving those changing consumer demand patterns (price, sales promotions, in-store merchandizing, epidemiological, economic and other related factors like unplanned events related to the pandemic crisis). Provides real case examples using real data, and how to apply advanced analytics and machine learning to solve current business problems. Provides a framework for changing the way demand forecasting and planning are done, as well as the change management requirements for sustainability"-- |
Item Description: |
Description based on print version record. Includes index. |
Carrier Form: |
1 online resource (272 pages). Also available in print. |
ISBN: |
9781119809890 (electronic book) 9781119809869 |
Index Number: | HD30 |
CLC: | F272.1 |
Contents: | The Digital Economy and Unexpected Disruptions -- A Wakeup Call for Demand Management -- Why Data and Analytics Are Important -- Consumption-Based Forecasting and Planning -- AI/Machine Learning Is Disrupting Demand Forecasting -- Intelligent Automation Is Disrupting Demand Planning -- The Future Is Cloud Analytics and Analytics at the Edge. |