MOMENTAN AUSVERKAUFT
Über dieses Produkt
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-10111980986X
ISBN-139781119809869
eBay Product ID (ePID)12050075315
Product Key Features
Book TitleConsumption-Based Forecasting and Planning : Predicting Changing Demand Patterns in the New Digital Economy
Number of Pages272 Pages
LanguageEnglish
Publication Year2021
TopicEconomics / General, Forecasting, Strategic Planning, Corporate Finance / General
GenreBusiness & Economics
AuthorCharles W. Chase
Book SeriesWiley and Sas Business Ser.
FormatHardcover
Dimensions
Item Height1 in
Item Weight11.3 Oz
Item Length9.1 in
Item Width6.1 in
Additional Product Features
Intended AudienceTrade
LCCN2021-020635
Dewey Edition23
Dewey Decimal658.40355
Table Of ContentForeword Preface Acknowledgments About the Author Chapter 1: The Digital Economy and Unexpected Disruptions Chapter 2: A Wakeup Call for Demand Management Chapter 3: Why Data and Analytics Are Important Chapter 4: Consumption-Based Forecasting and Planning Chapter 5: AI/Machine Learning Is Disrupting Demand Forecasting Chapter 6: Intelligent Automation Is Disrupting Demand Planning Chapter 7: The Future Is Cloud Analytics and Analytics at the Edge Index
SynopsisDiscover a new, demand-centric framework for forecasting and demand planning In Consumption-Based Forecasting and Planning , thought leader and forecasting expert Charles W. Chase delivers a practical and novel approach to retail and consumer goods companies demand planning process. The author demonstrates why a demand-centric approach relying on point-of-sale and syndicated scanner data is necessary for success in the new digital economy. The book showcases short- and mid-term demand sensing and focuses on disruptions to the marketplace caused by the digital economy and COVID-19. You'll also learn: How to improve demand forecasting and planning accuracy, reduce inventory costs, and minimize waste and stock-outs What is driving shifting consumer demand patterns, including factors like price, promotions, in-store merchandising, and unplanned and unexpected events How to apply analytics and machine learning to your forecasting challenges using proven approaches and tactics described throughout the book via several case studies. Perfect for executives, directors, and managers at retailers, consumer products companies, and other manufacturers, Consumption-Based Forecasting and Planning will also earn a place in the libraries of sales, marketing, supply chain, and finance professionals seeking to sharpen their understanding of how to predict future consumer demand.
LC Classification NumberHD30.27.C473 2021
