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• Cover
• Title Page
• Copyright
• Contents
• Preface to the Second Edition
• Chapter 1: Background
• 1.1 Historical Background and Context
• 1.2 the Financial Impact of Pricing and Revenue Optimization
• 1.3 Organization of the Book
• 1.4 Further Reading
• Chapter 2: Introduction to Pricing and Revenue Optimization
• 2.1 the Challenges of Pricing
• 2.2 Traditional Approaches to Pricing
• 2.3 the Scope of Pricing and Revenue Optimization
• 2.4 the Pricing and Revenue Optimization Process
• 2.5 Summary
• 2.6 Further Reading
• 2.7 Exercise
• Chapter 3: Models of Demand
• 3.1 the Price-Response Function
• 3.2 Measures of Price Sensitivity
• 3.3 Common Price-Response Functions
• 3.4 Summary
• 3.5 Further Reading
• 3.6 Exercise
• Chapter 4: Estimating Price Response
• 4.1 Data Sources for Price-Response Estimation
• 4.2 Price-Response Estimation Using Historical Data
• 4.3 the Estimation Process
• 4.4 Challenges in Estimation
• 4.5 Updating the Estimates
• 4.6 Data-Free Approaches to Estimation
• 4.7 Summary
• 4.8 Further Reading
• 4.9 Exercises
• Chapter 5: Optimization
• 5.1 Elements of Contribution
• 5.2 the Basic Price Optimization Problem
• 5.3 Existence and Uniqueness of Optimal Prices
• 5.4 Optimization with Multiple Prices
• 5.5 a Data-Driven approach to Price Optimization
• 5.6 Competitive Response and Optimization
• 5.7 Optimization with Multiple Objective Functions
• 5.8 Summary
• 5.9 Further Reading
• 5.10 Exercises
• Chapter 6: Price Differentiation
• 6.1 the Economics of Price Differentiation
• 6.2 Limits to Price Differentiation
• 6.3 Tactics for Price Differentiation
• 6.4 Calculating Differentiated Prices
• 6.5 Price Differentiation and Consumer Welfare
• 6.6 Nonlinear Pricing
• 6.7 Summary
• 6.8 Further Reading
• 6.9 Exercises
• Chapter 7: Pricing with Constrained Supply
• 7.1 the Nature of Supply Constraints
• 7.2 Optimal Pricing with a Supply Constraint
• 7.3 Opportunity Cost
• 7.4 Market Segmentation and Supply Constraints
• 7.5 Variable Pricing
• 7.6 Variable Pricing in Action
• 7.7 Summary
• 7.8 Further Reading
• 7.9 Exercises
• Chapter 8: Revenue Management
• 8.1 History
• 8.2 Levels of Revenue Management
• 8.3 Revenue Management Strategy
• 8.4 the System Context
• 8.5 Booking Control
• 8.6 Tactical Revenue Management
• 8.7 Revenue Management Metrics
• 8.8 incremental Costs and Ancillary Revenue in Revenue Management
• 8.9 Revenue Management in Action
• 8.10 Summary
• 8.11 Further Reading
• 8.12 Exercise
• Chapter 9: Capacity Allocation
• 9.1 the Two-Class Problems
• 9.2 Capacity Allocation with Multiple Fare Classes
• 9.3 Capacity Allocation with Dependent Demands
• 9.4 a Data-Driven approach to Capacity Control
• 9.5 Capacity Allocation in Action
• 9.6 Measuring Capacity Allocation Effectiveness
• 9.7 Summary
• 9.8 Further Reading
• 9.9 Exercises
• Chapter 10: Network Management
• 10.1 When is Network Management Applicable?
• 10.2 a Linear Programming approach
• 10.3 Virtual Nesting*
• 10.4 Network Bid Pricing
• 10.5 Network Management in Action
• 10.6 Summary
• 10.7 Further Reading
• 10.8 Exercises
• Chapter 11: Overbooking
• 11.1 Background
• 11.2 Approaches to Overbooking
• 11.3 a Deterministic Heuristic
• 11.4 Risk-Based Policies
• 11.5 Service-Level Policies
• 11.6 Hybrid Policies
• 11.7 Extensions
• 11.8 Measuring and Managing Overbooking
• 11.9 Alternatives to Overbooking
• 11.10 Summary
• 11.11 Further Reading
• 11.12 Exercises
• Chapter 12: Markdown Management
• 12.1 Background
• 12.2 Markdown Optimization
• 12.3 Estimating Markdown Sensitivity
• 12.4 Strategic Customers and Markdown Management
• 12.5 Markdown Management in Action
• 12.6 Summary
• 12.7 Further Reading
• 12.8 Exercises
• Chapter 13: Customized Pricing
• 13.1 Background and Business Setting
• 13.2 Calculating Optimal Customized Prices
• 13.3 Bid Response
• 13.4 Extensions and Variations
• 13.5 Customized Pricing in Action
• 13.6 Summary
• 13.7 Further Reading
• 13.8 Exercises
• Chapter 14: Behavioral Economics and Pricing
• 14.1 Violations of the Law of Demand
• 14.2 Price Presentation and Framing
• 14.3 Fairness
• 14.4 Implications for Pricing and Revenue Optimization
• 14.5 Summary
• 14.6 Further Reading
• 14.7 Exercises
• Appendix A: Optimization
• A.1 Continuous Optimization
• A.2 Linear Programming
• A.3 Duality and Complementary Slackness
• A.4 Discrete Optimization
• A.5 Reinforcement Learning and Bandit Approaches
• A.6 Further Reading
• Appendix B: Probability
• B.1 Probability Distributions
• B.2 Continuous Distributions
• B.3 Discrete Distributions
• B.4 Sample Statistics
• References
• Index