Cover -- Title Page -- Copyright Page -- Contents -- Acknowledgements -- Preface -- General Introduction -- Chapter 1. What is Revenue Management? -- 1.1. Introduction -- 1.2. Origins and evolution of the discipline: from Yield Management to Revenue Management -- 1.3. Distinction between Revenue Management, Yield Management and pricing -- 1.3.1. Yield Management -- 1.3.2. Pricing -- 1.3.3. Revenue Management -- 1.4. General objectives of Revenue Management -- 1.4.1. Maximizing revenue -- 1.4.2. Demand management -- 1.4.3. Capacity optimization -- 1.4.4. Personalizing offers

1.5. Conditions of applying Revenue Management in service companies -- 1.5.1. Constrained company capacity -- 1.5.2. The perishability of supply -- 1.5.3. The level of fixed versus variable costs -- 1.5.4. The possibility of booking the service in advance -- 1.5.5. Temporal variability of demand -- 1.5.6. The possibility of segmenting demand -- 1.5.7. Price elasticity of demand from individual customers -- 1.5.8. Communication and distribution capacity -- 1.5.9. The absence of perfect competition -- 1.5.10. Demand forecasting capability -- 1.5.11. Low consumer sensitivity to pricing strategies

1.5.12. Organizational flexibility and operational flexibility -- 1.6. The fundamental components of Revenue Management -- 1.6.1. Price management -- 1.6.2. Capacity or inventory management -- 1.6.3. Analytics -- 1.7. The pillars of Revenue Management -- 1.7.1. Revenue Management forecasts -- 1.7.2. Capacity (inventory) and price optimization -- 1.7.3. Performance analysis and management control -- 1.8. Steps in the classic Revenue Management process -- 1.8.1. Analysis of the business environment and competition -- 1.8.2. Market and consumer behavior analysis

1.8.3. Demand analysis and segmentation -- 1.8.4. Qualifying and positioning the company's offering -- 1.8.5. Setting up pricing grids and capacity management -- 1.8.6. Dynamic price and capacity management -- 1.8.7. Dynamic tariff class management rules -- 1.8.8. Bottom-up price management -- 1.8.9. Overbooking -- 1.9. Software and technological tools used in Revenue Management -- 1.10. The evolution and challenges of Revenue Management -- 1.11. Revenue Management's disciplinary and scientific positioning -- 1.12. Toward a microeconomic approach to Revenue Management -- 1.13. Conclusion

Chapter 2. Revenue Management Models for the Tourism, Hotel and Transport Industries -- 2.1. Introduction -- 2.2. Revenue Management forecasting models -- 2.2.1. Traditional Revenue Management forecasting models -- 2.2.2. Advanced econometric models -- 2.2.3. Methods for forecasting seasonal variations -- 2.2.4. Method of unconstraining capacities -- 2.2.5. Comparative analysis of traditional forecasting methods -- 2.2.6. Modern techniques and the contribution of artificial intelligence -- 2.3. Capacity and price optimization models in Revenue Management