Download or read book Choice set Demand in Revenue Management Unconstraining Forecasting and Optimization written by Alwin Haensel and published by Alwin Haensel. This book was released on 2012-06-27 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focus on Profit! Maximize your revenue and profit by understanding and considering your customers’ buying behavior. How price sensitive are your customers? What are their preferences? How strong are the competitor influences or cannibalization effects in your own product portfolio? These questions must be answered analytically, in order to obtain a quantitative understanding of the customers’ choice process and hence a clear picture of the demand in the market. We propose the notion of choice-sets as our model for the customers’ preferences and buying decisions. The unconstraining is the related process which extracts demand information with choice behavior from product sales data. Once, we obtained the information of current and past demand data, the immediate next step is the demand forecasting. Finally, with an accurate estimate of the future demand, we continue with the optimization process, to derive optimal sales controls and pricing actions which maximize the overall revenue or profit.

Download or read book Segmentation Revenue Management and Pricing Analytics written by Tudor Bodea and published by Routledge. This book was released on 2014-03-21 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.

Download or read book Revenue Management and Pricing Analytics written by Guillermo Gallego and published by Springer. This book was released on 2019-08-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: “There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft. “The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it." Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon “At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK.

Download or read book The Theory and Practice of Revenue Management written by Kalyan T. Talluri and published by Springer Science & Business Media. This book was released on 2006-02-21 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revenue management (RM) has emerged as one of the most important new business practices in recent times. This book is the first comprehensive reference book to be published in the field of RM. It unifies the field, drawing from industry sources as well as relevant research from disparate disciplines, as well as documenting industry practices and implementation details. Successful hardcover version published in April 2004.

Download or read book Revenue Management written by I. Yeoman and published by Springer. This book was released on 2010-12-08 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pricing is about deciding your market position whereas revenue management is the strategic and tactical decisions firms take in order to optimize revenues and profits. This book offers insights into research, theories, applications and innovations and how to makes these work in different industries.

Download or read book DATA ANALYTICS written by Dr. Manish Kumar and published by Archers & Elevators Publishing House. This book was released on with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence and Machine Learning in the Travel Industry written by Ben Vinod and published by Springer Nature. This book was released on 2023-05-26 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high. The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice.

Download or read book The Cornell School of Hotel Administration on Hospitality written by Michael C. Sturman and published by John Wiley & Sons. This book was released on 2011-03-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting edge and comprehensive book with contributions from the star faculty of Cornell University's School of Hotel Administration offers the latest thinking on the best practices and strategies for hospitality management. A must for students and professionals seeking to enter or expand their reach in the hospitality industry, The Cornell School of Hotel Administration on Hospitality delivers the authoritative advice you need to: Develop and manage a multinational career and become a leader in the hospitality industry Maximize profits from franchise agreements, management contracts, and leases Understand and predict customer choices, and motivate your staff to provide outstanding service Manage hospitality businesses and the real estate underlying the businesses Control costs, coordinate branding strategy, and manage operations across multiple locations

Download or read book Essentials of Business Analytics written by Bhimasankaram Pochiraju and published by Springer. This book was released on 2019-07-10 with total page 971 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.

Download or read book International Encyclopedia of Hospitality Management written by Abraham Pizam and published by Butterworth-Heinemann. This book was released on 2010 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This encyclopedia covers all of the relevant issues in the field of hospitality management from both a sectoral level as well as a functional one. It's unique user-friendly structure enables readers to find exactly the information they require at a glance.

Download or read book Pricing and Revenue Optimization written by Robert Lewis Phillips and published by Stanford University Press. This book was released on 2005-08-05 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for MBA students and practitioners, this book is a comprehensive introduction to the theory and application of pricing and revenue optimization.

Download or read book Hotel Revenue Management From Theory to Practice written by Stanislav Ivanov and published by Zangador. This book was released on 2014-03-15 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph aims at developing an integrative framework of hotel revenue management. It elaborates the fundamental theoretical concepts in the field of hotel revenue management like the revenue management system, process, metrics, analysis, forecasting, segmentation and profiling, and ethical issues. Special attention is paid on the pricing and non-pricing revenue management tools used by hoteliers to maximise their revenues and gross operating profit. The monograph investigates the revenue management practices of accommodation establishments in Bulgaria and provides recommendations for their improvement. The book is suitable for undergraduate and graduate students in tourism, hospitality, hotel management, services studies programmes, and researchers interested in revenue/yield management. The book may also be used by hotel general managers, marketing managers, revenue managers and other practitioners looking for ways to improve their knowledge in the field.

Download or read book Hospitality Revenue Management written by Peter Szende and published by CRC Press. This book was released on 2020-11-23 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new textbook, Hospitality Revenue Management: Concepts and Practices, provides a comprehensive, in-depth introduction to the basic concepts and best practices of hospitality revenue management. With a real-world, hands-on approach, the book places students in the role of a revenue manager striving to succeed in an ever-changing hospitality business environment. The book takes a unique multi-author, collaborative approach, with chapters from outstanding industry leaders who share their experience and provide the information necessary to arm students with the most up-to-date tools and methods they to be effective in the hospitality revenue management field. The chapters cover the important topics in hospitality revenue management, including hotel pricing, hotel segmentation, distribution channels, competitive analysis, hotel forecasting, performance analysis, market data, supply and demand management, and more.

Download or read book The Evolution of Yield Management in the Airline Industry written by Ben Vinod and published by Springer Nature. This book was released on 2021-05-28 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book chronicles airline revenue management from its early origins to the last frontier. Since its inception revenue management has now become an integral part of the airline business process for competitive advantage. The field has progressed from inventory control of the base fare, to managing bundles of base fare and air ancillaries, to the precise inventory control at the individual seat level. The author provides an end-to-end view of pricing and revenue management in the airline industry covering airline pricing, advances in revenue management, availability, and air shopping, offer management and product distribution, agency revenue management, impact of revenue management across airline planning and operations, and emerging technologies is travel. The target audience of this book is practitioners who want to understand the basics and have an end-to-end view of revenue management.

Download or read book Quantitative Problem Solving Methods in the Airline Industry written by Cynthia Barnhart and published by Springer Science & Business Media. This book was released on 2011-12-22 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews Operations Research theory, applications and practice in seven major areas of airline planning and operations. In each area, a team of academic and industry experts provides an overview of the business and technical landscape, a view of current best practices, a summary of open research questions and suggestions for relevant future research. There are several common themes in current airline Operations Research efforts. First is a growing focus on the customer in terms of: 1) what they want; 2) what they are willing to pay for services; and 3) how they are impacted by planning, marketing and operational decisions. Second, as algorithms improve and computing power increases, the scope of modeling applications expands, often re-integrating processes that had been broken into smaller parts in order to solve them in the past. Finally, there is a growing awareness of the uncertainty in many airline planning and operational processes and decisions. Airlines now recognize the need to develop ‘robust’ solutions that effectively cover many possible outcomes, not just the best case, “blue sky” scenario. Individual chapters cover: Customer Modeling methodologies, including current and emerging applications. Airline Planning and Schedule Development, with a look at many remaining open research questions. Revenue Management, including a view of current business and technical landscapes, as well as suggested areas for future research. Airline Distribution -- a comprehensive overview of this newly emerging area. Crew Management Information Systems, including a review of recent algorithmic advances, as well as the development of information systems that facilitate the integration of crew management modeling with airline planning and operations. Airline Operations, with consideration of recent advances and successes in solving the airline operations problem. Air Traffic Flow Management, including the modeling environment and opportunities for both Air Traffic Flow Management and the airlines.

Download or read book Revenue Management and Pricing written by Ian Yeoman and published by Cengage Learning. This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revenue management is the process of allocating the right inventory to the right kind of customer at the right price to maximise revenue. It applies particularly to the service sector. Covering numerous industries, these case studies demonstrate a variety of scenarios, problems and solutions.

Download or read book Discrete Choice Modelling and Air Travel Demand written by Professor Laurie A Garrow and published by Ashgate Publishing, Ltd.. This book was released on 2012-10-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, airline practitioners and academics have started to explore new ways to model airline passenger demand using discrete choice methods. This book provides an introduction to discrete choice models and uses extensive examples to illustrate how these models have been used in the airline industry. These examples span network planning, revenue management, and pricing applications. Numerous examples of fundamental logit modeling concepts are covered in the text, including probability calculations, value of time calculations, elasticity calculations, nested and non-nested likelihood ratio tests, etc. The core chapters of the book are written at a level appropriate for airline practitioners and graduate students with operations research or travel demand modeling backgrounds. Given the majority of discrete choice modeling advancements in transportation evolved from urban travel demand studies, the introduction first orients readers from different backgrounds by highlighting major distinctions between aviation and urban travel demand studies. This is followed by an in-depth treatment of two of the most common discrete choice models, namely the multinomial and nested logit models. More advanced discrete choice models are covered, including mixed logit models and generalized extreme value models that belong to the generalized nested logit class and/or the network generalized extreme value class. An emphasis is placed on highlighting open research questions associated with these models that will be of particular interest to operations research students. Practical modeling issues related to data and estimation software are also addressed, and an extensive modeling exercise focused on the interpretation and application of statistical tests used to guide the selection of a preferred model specification is included; the modeling exercise uses itinerary choice data from a major airline. The text concludes with a discussion of on-going customer modeling research in aviation. Discrete Choice Modelling and Air Travel Demand is enriched by a comprehensive set of technical appendices that will be of particular interest to advanced students of discrete choice modeling theory. The appendices also include detailed proofs of the multinomial and nested logit models and derivations of measures used to represent competition among alternatives, namely correlation, direct-elasticities, and cross-elasticities.