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Pricing and Revenue Optimization
 

Pricing and Revenue Optimization
written by Robert Phillips
Studio : Stanford Business Books
by Stanford Business Books
Release Date : 2005-08-05
Publisher : Stanford Business Books
Released : 2005-08-05
Availability : Usually ships in 1-2 business days
Number of Items : 1
EAN : 9780804746984
Avg. Customer Rating:(based on 5 reviews)

List Price : $62.95
Our Price : $48.22


Editorial Reviews for  'Pricing and Revenue Optimization'
 
Product Description
This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of “yield management” in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager.

With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revene optimization invaluable.

 
Customer Reviews for  'Pricing and Revenue Optimization'
 
Eye opening book, a MUST to read to every entrepreneur or senior executive
OK, I am like you, I heard about the concepts, but I am not touch with academics anymore. I was a math undergrad, I have an MS in engineering and a Wharton MBA, but that was a long time ago. I do remember pricing elasticity concepts, but I have not found such a fascinating topic in a long time. Bob Phillips is doing a fantastic job educating the reader to a complex and theoretical field, yet you will ALL find applications in your industry.

I urge you to read the book, and start applying the concepts immediately to your industry. I expect applications way beyond the obvious airline and banking industries. Please learn about PRO (price revenue optimization), and yield management.
 
Excellent treatment of the subject
The author has written this book very well in terms of content,quality and organization. However, he could have added some enhanced topics. For example, how to segment the market into n optimal segments rather than just 2 segments. Unlike other titles, this book has sufficient mathematical treatment of the subject. The book is must for college graduates and professionals who wants to learn the subject of PRO. Finally, it is five star book.
 
Basic tool for RM
One of the best tool I have read about RM, with a great organization of each topic.
 
Pricing and Revenue Optimization
This is an excellent book and should be in every pricing professionals library. The only critisism I could make is that the author should be very explicit with the examples and walk the reader through the techniques used in detail.
 
Pricing and Revenue Optimization
Pricing and Revenue Optimization fills the need for a rigorous yet accessible introduction to the field more commonly known as revenue management. The author presents key pricing decisions such as airline revenue management, markdown management, and customized pricing as constrained optimization problems. It is the only broadly accessible consistent treatment of these topics in one place. The intended audience is MBA and MS level students and managers with solid quantitative backgrounds. Linear programming, probabilistic modeling, and some calculus is used. This book neatly fills the space between the popular treatment in Cross's "Revenue Management" and the much more mathematical "Theory and Practice of Revenue Management" by Talluri and van Ryzin. The book is well written and presents plenty of real-world grounding as well as the necessary mathematics. It is written as a textbook but would also serve for any quantitatively-oriented analyst or manager wanting to know how math models can be used to improve pricing. As a textbook, it is a little short of problems and I would have liked to see chapters on forecasting and price-response estimation. It is the best available introduction to this important topic for the MBA-level student or practitioner.
 
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