This program provides you with in-depth training in the most critical revenue management techniques and strategies that you can apply on the job immediately.
Make a lasting impact at your organization by employing revenue management techniques and strategies for your hotel operation and earn a highly recognized credential from Cornell University’s world-renowned School of Hotel Administration.
This program provides you with in-depth training in the most critical revenue management techniques and strategies that you can apply on the job immediately. This program was developed by hotel revenue management expert and pioneer Sheryl E. Kimes, PhD, professor of operations management in the School of Hotel Administration at Cornell University.
Course content is structured around relevant case examples and interactive exercises, giving you the experience you need to translate theory into practice.
- Introduction to Hotel Revenue Management
- Forecasting and Availability Controls in Hotel Revenue Management
- Pricing Strategy and Distribution Channels in Hotel Revenue Management
- Overbooking Practices in Hotel Revenue Management
- Non-Traditional Applications of Hotel Revenue Management
KEY COURSE TAKEAWAYS
Apply the strategic levers of hotel revenue management to increase revenue
Explain the role of forecasting in hotel revenue management
Create a forecast and measure its accuracy
Establish or recommend room rates that maximize profitability
Establish or recommend approaches to making price more variable
Set appropriate rate fences to create appropriate customer segments
Analyze the implications to revenue management of using various distribution channels
Manage potential customer issues associated with overbooking
Create strategies to make group-management decisions that maximize revenue
Refine the practice of hotel revenue management so it can be applied to additional areas of the hotel
Learn methods for extending the practice of revenue management to other industries
Develop a functional revenue management plan, from gathering baseline data to monitoring post-implementation results
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