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The Practices Of Revenue Management And Pricing Analytics Have Transformed The Transportation And Hospitality Industries, And Are Increasingly Important In Industries As Diverse As Retail, Telecommunications, Banking, Health Care And Manufacturing. Segmentation, Revenue Management And Pricing Analytics Guides Students And Professionals On How To Identify And Exploit Revenue Management And Pricing Opportunities In Different Business Contexts. Bodea And Ferguson Introduce Concepts And Quantitative Methods For Improving Profit Through Capacity Allocation And Pricing. Whereas Most Marketing Textbooks Cover More Traditional, Qualitative Methods For Determining Customer Segments And Prices, This Book Uses Historical Sales Data With Mathematical Optimization To Make Those Decisions. With Hands-on Practice And A Fundamental Understanding Of Some Of The Most Common Analytical Models, Readers Will Be Able To Make Smarter Business Decisions And Higher Profits-- Provided By Publisher.
This book investigates how organizations can leverage quantitative methods and historical sales data to optimize pricing strategies and capacity allocation for increased profitability. Authors Tudor Bodea and Mark Ferguson provide a rigorous framework for applying revenue management techniques across diverse sectors, including retail, healthcare, and manufacturing. By moving beyond traditional qualitative marketing approaches, the text establishes a mathematical foundation for identifying customer segments and setting prices that align with market demand. The authors synthesize complex analytical models into actionable business strategies suitable for both academic study and professional application.
What You Will Find
Experts identify this work as a bridge between theoretical optimization models and practical business implementation. Readers frequently note the technical density of the prose, which serves as a foundational resource for those seeking to apply data science to revenue management.
Page Count:
0
Publication Date:
2014-01-01
ISBN-10:
0203802152
ISBN-13:
9780203802151
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