Choice-set Demand in Revenue Management: Unconstraining, Forecasting and Optimization

Choice-set Demand in Revenue Management: Unconstraining, Forecasting and Optimization PDF Author: Alwin Haensel
Publisher: Alwin Haensel
ISBN: 9081909509
Category :
Languages : en
Pages : 189

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Book Description
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.

Choice-set Demand in Revenue Management: Unconstraining, Forecasting and Optimization

Choice-set Demand in Revenue Management: Unconstraining, Forecasting and Optimization PDF Author: Alwin Haensel
Publisher: Alwin Haensel
ISBN: 9081909509
Category :
Languages : en
Pages : 189

Get Book Here

Book Description
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.

Revenue Management

Revenue Management PDF Author: I. Yeoman
Publisher: Springer
ISBN: 0230294774
Category : Business & Economics
Languages : en
Pages : 290

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Book Description
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.

DATA ANALYTICS

DATA ANALYTICS PDF Author: Dr. Manish Kumar
Publisher: Archers & Elevators Publishing House
ISBN: 811938525X
Category : Antiques & Collectibles
Languages : en
Pages : 260

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Book Description


Choice-set Demand in Revenue Management: Unconstraining, Forecasting and Optimization

Choice-set Demand in Revenue Management: Unconstraining, Forecasting and Optimization PDF Author: Alwin Haensel
Publisher: Bruce Paley
ISBN: 9789081909501
Category :
Languages : en
Pages : 192

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Book Description
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.

The Cornell School of Hotel Administration on Hospitality

The Cornell School of Hotel Administration on Hospitality PDF Author: Michael C. Sturman
Publisher: John Wiley & Sons
ISBN: 1118016262
Category : Business & Economics
Languages : en
Pages : 519

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Book Description
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

Artificial Intelligence and Machine Learning in the Travel Industry

Artificial Intelligence and Machine Learning in the Travel Industry PDF Author: Ben Vinod
Publisher: Springer Nature
ISBN: 3031254562
Category : Business & Economics
Languages : en
Pages : 182

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Book Description
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.

International Encyclopedia of Hospitality Management

International Encyclopedia of Hospitality Management PDF Author: Abraham Pizam
Publisher: Butterworth-Heinemann
ISBN: 1856177149
Category : Business & Economics
Languages : en
Pages : 513

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Book Description
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.

The Theory and Practice of Revenue Management

The Theory and Practice of Revenue Management PDF Author: Kalyan T. Talluri
Publisher: Springer Science & Business Media
ISBN: 0387273913
Category : Business & Economics
Languages : en
Pages : 731

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Book Description
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.

Essentials of Business Analytics

Essentials of Business Analytics PDF Author: Bhimasankaram Pochiraju
Publisher: Springer
ISBN: 3319688375
Category : Business & Economics
Languages : en
Pages : 971

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Book Description
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.

Hotel Revenue Management: From Theory to Practice

Hotel Revenue Management: From Theory to Practice PDF Author: Stanislav Ivanov
Publisher: Zangador
ISBN: 9549278638
Category : Travel
Languages : en
Pages : 205

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Book Description
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.