Title
Pricing and Revenue Optimization,New
Delivery time: 8-12 business days (International)
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 courses taught by the author at Columbia and Stanford Business Schools as well as through his experience as founder of Nomis Solutions, 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 revenue optimization invaluable.Solutions to the endofchapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact marketing@sup.org.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Pricing and Revenue Optimization'? A: The book provides a comprehensive introduction to concepts and applications of pricing and revenue optimization, focusing on mathematical analysis techniques used across various industries.
- Q: Who is the author of 'Pricing and Revenue Optimization'? A: The author is Robert Phillips, who has taught at Columbia and Stanford Business Schools and is the founder of Nomis Solutions.
- Q: What is the publication date of the book? A: The book was published on August 5, 2005.
- Q: Is 'Pricing and Revenue Optimization' suitable for beginners? A: Yes, the book is designed to be accessible for MBA students, MS students, and advanced undergraduates, making it suitable for those new to the topic.
- Q: What type of binding does the book have? A: The book is available in hardcover binding.
- Q: How many pages are in 'Pricing and Revenue Optimization'? A: The book contains a total of 368 pages.
- Q: Are there solutions available for the exercises in the book? A: Yes, solutions to the end-of-chapter exercises are available to instructors using the book in their courses.
- Q: What condition is the book in when purchased? A: The book is listed as 'New' and in mint condition.
- Q: What features come with the purchase of this book? A: Features include guaranteed packaging, same-day dispatch for orders received before noon, and a no-quibbles return policy.
- Q: What topics are covered in 'Pricing and Revenue Optimization'? A: The book covers yield management, markdown management, dynamic pricing, and other mathematical techniques for optimizing pricing strategies.