Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy / Charles W. Chase.
By: Chase, Charles [author.]
Contributor(s): John Wiley & Sons [publisher.]
Language: English Series: Wiley and SAS business seriesPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2021]Copyright date: ©2021Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119809876; 9781119809876; 9781119809883Subject(s): Business forecasting | Business logistics | Demand (Economic theory)Genre/Form: Electrical books.DDC classification: 658.4/0355 LOC classification: HD30.27Online resources: Full text available at Wiley Online Library Click here to view 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"-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | 658.40355 C3862 2021 (Browse shelf) | Available | CL-52824 |
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| 658.4034 T13 2003 Software to accompany operations research | 658.4034 T13 2011 Operations research : an introduction / | 658.40354 Sa49 1988 Managerial decision analysis / | 658.40355 C3862 2021 Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy / | 658.403550285554 K221 2019 Business forecasting : with ForecastX / | 658.40355028563 B9645 2021 Business forecasting : the emerging role of artificial intelligence and machine learning / | 658.4036 B439 1980 Successful team building through TA / |
Includes index.
CHARLES W. CHASE is an Executive Industry Consultant at SAS. He is responsible for delivering demand planning and forecasting solutions to improve supply chain efficiencies for SAS customers. He is the former president of the International Association of Business Forecasting and currently writes a quarterly column in the Journal of Business Forecasting.
"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"-- Provided by publisher.
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