Griyanet Academy

Master Revenue Management

381 interactive modules and hands-on hotel simulations — browse everything free, no account required. Register to track progress and earn certificates.

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Course Catalog

381 modules across 39 sections — every lesson, flashcard set, and quiz is open.

Economic Principles

2.1

Module 2.1.1: Supply and Demand

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Module 2.1.2: Price Elasticity

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Module 2.1.3: Marginal Revenue & Cost

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Module 2.1.4: Economic Surplus

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Module 2.1.5: Opportunity Costs

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Module 2.1.6:Break-Even Analysis

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Module 2.1.7: Cost-volume-profit Analysis

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Module 2.1.8: Economic Value to the Customer (EVC)

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Module 2.1.9: Game Theory & Pricing Strategy

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Module 2.1.10: Price Discrimination

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Demand Forecasting

2.2

Module 2.2.1: Introduction to Demand Forecasting

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Module 2.2.2: Types of Forecasting Methods

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Module 2.2.3: Data Collection and Management

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Module 2.2.4: Forecasting Accuracy

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Module 2.2.5: Short-term vs. Long-term Forecasting

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Module 2.2.6: Seasonality & Trend Analysis

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Module 2.2.7: Impact of External Factors

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Module 2.2.8: Demand Forecasting in Digital Markets

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Module 2.2.9: Integrating Forecasting with Pricing Strategies

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Module 2.2.10: Continuous Improvement in Forecasting

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Inventory Control

2.3

Module 2.3.1: Basics of Inventory Control

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Module 2.3.2: Inventory Management Systems

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Module 2.3.3: Economic Order Quantity (EOQ)

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Module 2.3.4: Room Allocation Fundamentals

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Module 2.3.5: MICE & Group vs. Transient Booking Management

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Module 2.3.6: Yield Management Integration

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Module 2.3.7: Demand Forecasting for Room Allocation

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Module 2.3.8: Dynamic Pricing and Inventory Control

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Module 2.3.9: Strategies for Handling Overbookings

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Module 2.3.10: Advanced Technologies in Inventory and Room Allocation

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Pricing Strategies

2.4

Module 2.4.1: Understanding Pricing Objectives

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Module 2.4.2: Cost-Based Pricing

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Module 2.4.3: Competitor-Based Pricing

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Module 2.4.4: Value-Based Pricing

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Module 2.4.5: Dynamic Pricing

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Module 2.4.6: Price Segmentation

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Module 2.4.7: Psychological Pricing

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Module 2.4.8: Promotional Pricing

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Module 2.4.9: Bundling and Package Deals

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Module 2.4.10: Legal and Ethical Aspects of Pricing

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Occupancy & RevPAR

2.5

Module 2.5.1: Understanding Occ & RevPAR

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Dynamic Pricing & Yield Management

3.1

Module 3.1.1: Introduction to Dynamic Pricing

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Module 3.1.2: Fundamentals of Yield Management

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Module 3.1.3: Demand Forecasting

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Module 3.1.4: Segmentation and Price Differentiation

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Module 3.1.5: Software and Technological Tools

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Module 3.1.6: Consumer Behavior Insights

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Module 3.1.7: Ethical and Legal Considerations

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Module 3.1.8: Pricing in a Digital Economy

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Module 3.1.9: Competitive Strategy and Dynamic Pricing

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Module 3.1.10: Future Trends in Pricing Strategies

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Segmented Pricing & Rate Fences

3.2

Module 3.2.1: Basics of Segmented Pricing

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Module 3.2.2: Identifying Market Segments

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Module 3.2.3: Rate Fences Explained

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Module 3.2.4: Psychological Aspects of Pricing

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Module 3.2.5: Technological Tools for Segmented Pricing

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Module 3.2.6: Dynamic Segmented Pricing

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Module 3.2.7: Legal and Ethical Considerations

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Module 3.2.8: Customer Relationship Management & Pricing

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Module 3.2.9: Strategies for Implementing Rate Fences

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Module 3.2.10: Future Trends in Segmented Pricing

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Discounting & Tactical Promotions

3.3

Module 3.3.1: Fundamentals of Discounting

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Module 3.3.2: Objectives of Tactical Promotions

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Module 3.3.3: Pricing Psychology in Discounting

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Module 3.3.4: Customer Segmentation for Promotions

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Module 3.3.5: Tactical Use of Coupons and Vouchers

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Module 3.3.6: Flash Sales and Limited-Time Offers

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Module 3.3.7: Cross-Promotions and Bundling

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Module 3.3.8: Loyalty Programs and Discount Strategies

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Module 3.3.9: Legal and Ethical Considerations

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Module 3.3.10: Evaluating the Impact of Discounting and Promotions

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Value & Competitor-Based Pricing

3.4

Module 3.4.1: Introduction to Value-Based Pricing

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Module 3.4.2: Assessing Customer Perceived Value

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Module 3.4.3: Setting Prices Based on Value

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Module 3.4.4: Introduction to Competitor-Based Pricing

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Module 3.4.5: Analyzing the Competitive Landscape

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Module 3.4.6: Differentiation and Positioning

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Module 3.4.7: Psychological Pricing Tactics

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Module 3.4.8: Role of Cost in Value & Competitor-Based Pricing

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Module 3.4.9: Challenges in Implementing Value & Competitor-Based Pricing

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Module 3.4.10: Future Trends in Value & Competitor-Based Pricing

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Distribution Channels

4.1

Module 4.1.1: Understanding Distribution Channels:

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Module 4.1.2: Channel Strategy Development

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Module 4.1.3: Online Travel Agencies (OTAs)

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Module 4.1.4: Direct Booking Optimization

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Module 4.1.5: Rate Parity & Pricing Strategies

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Module 4.1.6: Global Distribution Systems (GDS)

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Module 4.1.7: Meta Search Engines (MSEs)

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Module 4.1.8: Wholesalers and Consolidators

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Module 4.1.9: Channel Analytics & Performance Monitoring

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Module 4.1.10: Technological Integration

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Direct vs Indirect Sales Channels

4.2

Module 4.2.1: Definition of Sales Channels

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Module 4.2.2: Advantages of Direct Sales Channels

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Module 4.2.3: Challenges of Direct Sales Channels

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Module 4.2.4: Advantages of Indirect Sales Channels

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Module 4.2.5: Challenges of Indirect Sales Channels

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Module 4.2.6: Balancing Direct & Indirect Channels

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Module 4.2.7: Technology in Channel Management

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Module 4.2.8: Customer Relationship Management (CRM)

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Module 4.2.9: Marketing Strategies for Channel Optimization

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Module 4.2.10: Evolving Trends in Channel Distribution

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OTAs

4.3

Module 4.3.1: Introduction to OTAs

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Module 4.3.2: Benefits of Using OTAs

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Module 4.3.3: Challenges of Using OTAs

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Module 4.3.4: Negotiating with OTAs

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Module 4.3.5: OTA Optimization Strategies

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Module 4.3.6: Managing OTA Relationships:

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Module 4.3.7: Integrating OTAs with Direct Sales

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Module 4.3.8: Impact of OTAs on Pricing Strategies

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Module 4.3.9: OTA Analytics & Performance Tracking

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Module 4.3.10: Future Trends and Innovations in OTA Engagement

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GDS

4.4

Module 4.4.1: Introduction to GDS

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Module 4.4.2: Benefits of Using GDS

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Module 4.4.3: Integration with Hotel Systems

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Module 4.4.4: GDS and Travel Agencies

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Module 4.4.5: Marketing through GDS

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Module 4.4.6: Pricing Strategies & Rate Parity

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Module 4.4.7: Data Analytics and GDS Reporting

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Module 4.4.8: Challenges of Using GDS

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Module 4.4.9: Future Trends in GDS Usage

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Module 4.4.10: GDS Training and Best Practices

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MSEs

4.5

Module 4.5.1: Understanding Meta Search Engines

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Module 4.5.2: Benefits of Using MSEs

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Module 4.5.3: Integration with Hotel Marketing Strategies

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Module 4.5.4: Cost Structure & Budget Management

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Module 4.5.5: Optimizing Listings on MSEs

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Module 4.5.6: Direct Booking Conversion

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Module 4.5.7: Analyzing MSE Performance

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Module 4.5.8: Competitive Analysis and Market Trends

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Module 4.5.9: Customer Reviews & Ratings

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Module 4.5.10: Future of MSEs in Hotel Distribution

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Travel Agents & B2B

4.6

Module 4.6.1: Introduction to Travel Agents

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Module 4.6.2: Benefits of Working with Travel Agents

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Module 4.6.3: Understanding the Wholesaler Model

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Module 4.6.4: B2B Distribution Channels

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Module 4.6.5: Allotments and Contracting

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Module 4.6.6: Commission and Net Rate Structures

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Module 4.6.7: Managing B2B Relationships

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Module 4.6.8: Rate Leakage and Arbitrage

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Module 4.6.9: B2B Channel Analytics and Performance

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Module 4.6.10: Future Trends in B2B Distribution

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Flash Sales

4.7

Module 4.7.1: Introduction to Flash Sales Websites

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Module 4.7.2: How Flash Sales Work

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Module 4.7.3: Benefits of Flash Sales

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Module 4.7.4: Risks and Challenges of Flash Sales

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Module 4.7.5: Pricing and Inventory Strategy

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Module 4.7.6: Choosing Flash Sales Partners

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Module 4.7.7: Campaign Planning and Execution

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Module 4.7.8: Rate Protection and Fencing

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Module 4.7.9: Measuring Flash Sale Performance

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Module 4.7.10: Future of Flash Sales

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Direct Booking Websites

4.8

Module 4.8.1: Introduction to Direct Booking Websites

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Module 4.8.2: Benefits of Direct Bookings

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Module 4.8.3: Challenges of Direct Bookings

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Module 4.8.4: Building the Direct Booking Website

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Module 4.8.5: Booking Engines and Technology

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Module 4.8.6: Direct Booking Incentives and Fencing

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Module 4.8.7: Driving Traffic to the Direct Channel

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Module 4.8.8: Conversion Rate Optimization

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Module 4.8.9: Measuring Direct Channel Performance

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Module 4.8.10: Future of Direct Booking

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Ancillary Revenue

5.1

Module 5.1.1: Introduction to Ancillary Revenue

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Module 5.1.2: Types of Ancillary Services

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Module 5.1.3: Benefits of Ancillary Revenue

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Module 5.1.4: Pricing Ancillary Products and Services

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Module 5.1.5: Bundling and Package Strategy

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Module 5.1.6: Upselling and Cross-Selling

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Module 5.1.7: Distributing Ancillary Offers

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Module 5.1.8: Measuring Ancillary Performance

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Module 5.1.9: Technology for Ancillary Revenue

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Module 5.1.10: Future of Ancillary Revenue

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Group Sales & Event Yield

5.2

Module 5.2.1: Introduction to Group Sales

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Module 5.2.2: Group Market Segments

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Module 5.2.3: The Group RFP and Sales Process

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Module 5.2.4: Group Pricing and Rate Building

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Module 5.2.5: Displacement Analysis

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Module 5.2.6: Group Forecasting and Pickup

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Module 5.2.7: Function Space and Event Yield

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Module 5.2.8: Group Negotiation and Contracts

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Module 5.2.9: Measuring Group Performance

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Module 5.2.10: Future of Group Sales

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Advanced Customer Segmentation

5.3

Module 5.3.1: Introduction to Advanced Customer Segmentation

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Module 5.3.2: Data Foundations for Segmentation

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Module 5.3.3: Behavioral Segmentation

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Module 5.3.4: Value-Based Segmentation

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Module 5.3.5: Demographic and Psychographic Segmentation

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Module 5.3.6: Trip Purpose Segmentation

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Module 5.3.7: Geographic Segmentation

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Module 5.3.8: Micro-Segmentation and Personas

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Module 5.3.9: Applying Segmentation to Pricing and Marketing

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Module 5.3.10: Future of Customer Segmentation

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Overbooking Strategies

5.4

Module 5.4.1: Introduction to Overbooking Strategies

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Module 5.4.2: No-Show Analysis and Prediction

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Module 5.4.3: Cancellations and Wash Forecasting

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Module 5.4.4: The Overbooking Calculation

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Module 5.4.5: Setting Overbooking Levels in Practice

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Module 5.4.6: Walk Management and Service Recovery

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Module 5.4.7: Technology and RMS Automation

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Module 5.4.8: Overbooking Risk and Governance

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Module 5.4.9: Measuring Overbooking Performance

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Module 5.4.10: Future of Overbooking

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Business Intelligence

6.1

Module 6.1.1: Introduction to Business Intelligence

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Module 6.1.2: Benefits of Business Intelligence

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Module 6.1.3: Hotel Data Sources and Collection

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Module 6.1.4: Data Quality and Governance

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Module 6.1.5: BI Tools and Platforms

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Module 6.1.6: Dashboards and Data Visualization

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Module 6.1.7: KPIs and BI Reporting

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Module 6.1.8: BI in Daily Revenue Decisions

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Module 6.1.9: Self-Service BI and Data Culture

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Module 6.1.10: Future of Business Intelligence

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Predictive Analytics

6.2

Module 6.2.1: Introduction to Predictive Analytics

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Module 6.2.2: Forecasting Foundations

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Module 6.2.3: Time Series and Seasonality

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Module 6.2.4: Demand Drivers and Leading Indicators

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Module 6.2.5: Predictive Models and Methods

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Module 6.2.6: Predictive Pricing Applications

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Module 6.2.7: Guest Behavior Prediction

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Module 6.2.8: Model Accuracy and Validation

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Module 6.2.9: Deploying Predictive Analytics

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Module 6.2.10: Future of Predictive Analytics

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AI in Hospitality

6.3

Module 6.3.1: Introduction to AI in Hospitality

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Module 6.3.2: Machine Learning Fundamentals

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Module 6.3.3: AI Applications Across the Hotel

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Module 6.3.4: AI in Guest Experience

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Module 6.3.5: AI in Hotel Operations

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Module 6.3.6: Generative AI and Large Language Models

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Module 6.3.7: Implementing AI in Your Hotel

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Module 6.3.8: AI Ethics, Bias and Governance

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Module 6.3.9: Measuring AI ROI

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Module 6.3.10: Future of AI in Hospitality

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Generative Engine Optimization

6.4

Module 6.4.1: Introduction to Generative Engine Optimization

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Module 6.4.2: How AI Engines Cite and Rank Content

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Module 6.4.3: GEO vs SEO

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Module 6.4.4: Content Strategy for AI Visibility

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Module 6.4.5: Structured Data and Technical GEO

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Module 6.4.6: Reviews and Reputation in the AI Era

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Module 6.4.7: Measuring GEO Performance

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Module 6.4.8: Local Search and AI Overviews

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Module 6.4.9: Building a GEO Program

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Module 6.4.10: Future of GEO

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Social Media Analytics

6.5

Module 6.5.1: Introduction to Social Media Analytics

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Module 6.5.2: Platforms and Their Metrics

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Module 6.5.3: Audience and Community Analysis

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Module 6.5.4: Content Performance Analysis

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Module 6.5.5: Sentiment and Social Reputation

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Module 6.5.6: Competitive Benchmarking on Social

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Module 6.5.7: Social Media ROI and Attribution

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Module 6.5.8: Social Listening and Trend Monitoring

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Module 6.5.9: Social Analytics Tools and Reporting

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Module 6.5.10: Future of Social Media Analytics

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Big Data

6.6

Module 6.6.1: Introduction to Big Data

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Module 6.6.2: Big Data Sources in Hospitality

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Module 6.6.3: Big Data Architecture and Storage

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Module 6.6.4: Data Engineering and Pipelines

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Module 6.6.5: IoT and Real-Time Data

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Module 6.6.6: Analytics on Big Data

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Module 6.6.7: Hotel Big Data Applications

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Module 6.6.8: Privacy, Ethics and Compliance

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Module 6.6.9: Building the Big Data Capability

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Module 6.6.10: Future of Big Data

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Total Hotel Revenue Management

7.1

Module 7.1.1: Introduction to Total Hotel Revenue Management

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Module 7.1.2: Mapping Hotel Revenue Centers

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Module 7.1.3: Total Revenue Metrics and KPIs

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Module 7.1.4: Food and Beverage Revenue Management

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Module 7.1.5: Spa and Leisure Revenue Management

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Module 7.1.6: Meetings and Events in Total RM

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Module 7.1.7: Cross-Center Demand and Capacity

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Module 7.1.8: From Revenue to Profit

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Module 7.1.9: Organizing for Total RM

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Module 7.1.10: Future of Total Hotel RM

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Strategic Pricing & Optimization

7.2

Module 7.2.1: Strategic Pricing Foundations

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Module 7.2.2: Cost, Competition and Value Approaches

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Module 7.2.3: Competitive Price Positioning

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Module 7.2.4: Price Architecture and Rate Structures

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Module 7.2.5: Dynamic Pricing Execution

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Module 7.2.6: Elasticity and Demand Optimization

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Module 7.2.7: Stay Pattern and Inventory Optimization

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Module 7.2.8: Pricing Governance and Ethics

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Module 7.2.9: Measuring Pricing Performance

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Module 7.2.10: Future of Strategic Pricing

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Forecast Accuracy

7.3

Module 7.3.1: Introduction to Forecast Accuracy

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Module 7.3.2: Forecast Error Metrics

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Module 7.3.3: Understanding and Fixing Bias

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Module 7.3.4: Accuracy by Segment, Date and Grain

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Module 7.3.5: Forecast Methods and Their Errors

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Module 7.3.6: Rolling Forecasts and Re-Forecasting

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Module 7.3.7: Human Judgment and Forecast Adjustment

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Module 7.3.8: Accuracy in the RMS Era

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Module 7.3.9: Building the Accuracy Program

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Module 7.3.10: Future of Forecast Accuracy

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Revenue Culture

7.4

Module 7.4.1: Introduction to Revenue Culture

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Module 7.4.2: Leadership and the Revenue Mindset

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Module 7.4.3: Engaging Every Stakeholder

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Module 7.4.4: Training and Revenue Literacy

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Module 7.4.5: Communication and Metric Storytelling

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Module 7.4.6: Incentives and Recognition

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Module 7.4.7: Change Management for Revenue Culture

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Module 7.4.8: Measuring and Sustaining Culture

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Module 7.4.9: Culture Across Organization Types

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Module 7.4.10: Future of Revenue Culture

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KPIs

8.1

Module 8.1.1: Introduction to Hotel KPIs

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Module 8.1.2: Occupancy and Volume Metrics

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Module 8.1.3: Rate Metrics and ADR Discipline

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Module 8.1.4: RevPAR and Its Family

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Module 8.1.5: Profitability KPIs

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Module 8.1.6: Demand and Pace KPIs

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Module 8.1.7: Channel and Distribution KPIs

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Module 8.1.8: Guest Value and Experience KPIs

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Module 8.1.9: Designing the KPI Framework

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Module 8.1.10: Future of Performance KPIs

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Benchmarking & Compset Analysis

8.2

Module 8.2.1: Introduction to Benchmarking

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Module 8.2.2: Defining the Competitive Set

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Module 8.2.3: Index Metrics: RGI, ARI and MRI

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Module 8.2.4: Rate Shopping and Price Intelligence

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Module 8.2.5: Market Data and Demand Signals

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Module 8.2.6: Competitive Intelligence and Response

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Module 8.2.7: Running the Benchmark Analysis

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Module 8.2.8: Benchmark Reporting and Cadence

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Module 8.2.9: Benchmarking Pitfalls and Ethics

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Module 8.2.10: Future of Benchmarking

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Reporting Basic

8.3

Module 8.3.1: Introduction to Hotel Reporting

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Module 8.3.2: The Core Hotel Reports

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Module 8.3.3: Structuring and Formatting Reports

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Module 8.3.4: Reporting Cadence and Distribution

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Module 8.3.5: Data Collection for Reports

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Module 8.3.6: Report Accuracy and Error Checking

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Module 8.3.7: Report Production Tools

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Module 8.3.8: Reporting for Different Audiences

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Module 8.3.9: Building the Reporting Habit

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Module 8.3.10: Future of Basic Reporting

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Advanced Reporting

8.4

Module 8.4.1: Introduction to Advanced Reporting

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Module 8.4.2: Variance and Root-Cause Analysis

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Module 8.4.3: Segment and Market Deep Dives

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Module 8.4.4: Channel Profitability Reporting

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Module 8.4.5: Forecast vs Actual Reporting

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Module 8.4.6: Total Revenue and Profit Reporting

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Module 8.4.7: Executive Dashboards and Ownership Packs

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Module 8.4.8: Advanced Data Storytelling

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Module 8.4.9: Automated Insights and Alerting

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Module 8.4.10: Future of Advanced Reporting

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Impact of Global Trends

9.1

Module 9.1.1: Introduction to Global Trends in RM

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Module 9.1.2: Economic Cycles and Travel Demand

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Module 9.1.3: Geopolitics and Travel Patterns

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Module 9.1.4: Demographic Shifts and New Travelers

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Module 9.1.5: Climate Change and Seasonality Shifts

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Module 9.1.6: The New Traveler Behavior

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Module 9.1.7: Technology Shifts Reshaping Demand

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Module 9.1.8: Market Volatility and Demand Shocks

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Module 9.1.9: Trend Monitoring and Scenario Planning

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Module 9.1.10: The Next Decade of Global Trends

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Sustainability & RM

9.2

Module 9.2.1: Introduction to Sustainability in RM

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Module 9.2.2: The Green Traveler and Demand

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Module 9.2.3: Sustainability Certifications and Standards

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Module 9.2.4: Greenwashing and Credible Communication

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Module 9.2.5: Energy and Resource Management

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Module 9.2.6: Pricing Sustainable Value

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Module 9.2.7: Circular Operations and Local Sourcing

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Module 9.2.8: ESG Reporting and Carbon Metrics

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Module 9.2.9: Sustainability Regulation and Compliance

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Module 9.2.10: Future of Sustainable Hospitality

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Navigating Uncertainty

9.3

Module 9.3.1: Introduction to Navigating Uncertainty

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Module 9.3.2: Types and Levels of Uncertainty

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Module 9.3.3: Probabilistic Thinking for Revenue

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Module 9.3.4: Decision Frameworks Under Uncertainty

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Module 9.3.5: Buffers and Organizational Resilience

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Module 9.3.6: Adaptive Planning and Triggers

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Module 9.3.7: Experimentation and Fast Learning

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Module 9.3.8: Communicating Uncertainty

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Module 9.3.9: Learning from Uncertainty

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Module 9.3.10: Thriving in Uncertainty

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Future RM

9.4

Module 9.4.1: The Future of Revenue Management

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Module 9.4.2: AI and Autonomous Revenue Management

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Module 9.4.3: Ecosystem and Network Revenue Management

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Module 9.4.4: Hyper-Personalization at Scale

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Module 9.4.5: New Demand Interfaces

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Module 9.4.6: The Future RM Organization and Career

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Module 9.4.7: Ethics and Governance of Future RM

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Module 9.4.8: Revenue Management Beyond Hotels

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Module 9.4.9: Preparing Your Property for the Future

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Module 9.4.10: The Vision: Revenue Management in 2035

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Simulations

24 hands-on hotel business simulations — playable as guest, progress saved when you register.

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Segmented Pricing

Master segmented pricing strategies dengan rate fences

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Value Based Pricing

Strategi pricing berdasarkan persepsi nilai tamu

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New Value Based Pricing

Versi lanjutan value-based pricing

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Rate Fences

Cegah cannibalization dengan rate fencing

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Complex Distribution

Kelola multi channel: Direct, OTA, GDS, Wholesale

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Discount & Promotion

Strategi pricing dan promosi

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Discount Strategy

Kuasi strategi diskon 4 kuartal

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Dynamic Pricing

Sesuaikan tarif dengan data pasar real-time

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Hotel Direct

Optimasi website direct booking

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Hotel Direct Mastery

Tingkatkan direct booking hotel Anda

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Hotel Direct Champion

Tantangan lanjutan direct booking

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Channel Management

Optimasi bauran channel distribusi

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Ancillary Revenue

Sumber pendapatan tambahan: Spa, Dining, Tours

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Advanced Segmentation

Analisis data tamu & identifikasi segmen

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Segmentation Strategy

Susun strategi segmentasi step-by-step

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Overbooking Strategy

Optimasi okupansi dengan overbooking

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Overbooking Master

Tingkatkan skill overbooking Anda

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Wash Factor Simulation

Prediksi no-show dan optimasi booking cap

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Tactical Promotion

Strategi promosi taktis

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GM Challenge

Tantangan General Manager

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Customer Behavior

Pahami perilaku pelanggan hotel

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Predictive Pricing

Prediksi harga dengan data

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Compset Analysis

Analisis kompetitor set hotel

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Revenue Optimization

Optimasi pendapatan menyeluruh

Ready to earn certificates?

Create a free account to save your progress across devices and earn certificates for every completed module — plus a grand certificate when you finish the entire curriculum.

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