HOSP109: AI in Hospitality Management
About Course
This course introduces students to the role and impact of Artificial Intelligence (AI) in the hospitality industry. Students will explore how AI technologies such as machine learning, chatbots, robotics, and data analytics are transforming operations, customer service, marketing, and decision-making processes. The course emphasizes the strategic integration of AI to enhance efficiency, guest satisfaction, and competitive advantage while considering ethical implications and workforce transformation.
Course Content
Module I
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Topic 1: Introduction to AI in Hospitality
00:00 -
LO1: Define Artificial Intelligence and Its Relevance within Hospitality Operations
00:00 -
LO2: Explain How AI Is Transforming Guest Interactions and Service Efficiency
00:00 -
LO3: Discuss the Strategic Advantages of AI Adoption in the Hospitality Sector
00:00 -
Topic 2: History, Terminology, and Applications
00:00 -
LO1: Describe the Evolution of AI and Its Key Milestones in Hospitality
00:00 -
LO2: Define Fundamental AI Concepts and Related Terminology
00:00 -
LO3: Explain Practical Applications of AI across Different Hospitality Functions
00:00 -
Topic 3: Machine Learning and Predictive Analytics
00:00 -
LO1: Explain the Principles of Machine Learning and Their Role in Predicting Customer Behavior
00:00 -
LO2: Analyze Case Studies Where Predictive Analytics Improves Decision-Making in Hospitality
00:00 -
LO3: Apply Predictive Models to Forecast Demand and Occupancy Trends
00:00 -
Quiz I
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Topic 4: AI in Forecasting, Revenue, and Guest Preferences
00:00 -
LO1: Discuss How AI Tools Enhance Revenue Management Strategies
00:00 -
LO2: Evaluate the Effectiveness of AI in Forecasting Guest Demand and Preferences
00:00 -
LO3: Analyze Forecasting Outputs to Support Pricing and Inventory Decisions
00:00 -
Topic 5: AI in Customer Service: Chatbots and Virtual Agents
00:00 -
LO1: Describe the Functions of Chatbots and Virtual Assistants in Guest Communication
00:00 -
LO2: Evaluate the Benefits and Limitations of AI-Driven Customer Service Solutions
00:00 -
LO3: Apply Conversational AI to Improve Guest Satisfaction and Operational Efficiency
00:00 -
Topic 6: Robotics and Automation in Hospitality Operations
00:00 -
LO1: Describe Current Applications of Robotics in Hotels, Restaurants, and Resorts
00:00 -
LO2: Analyze How Automation Enhances Efficiency in Hospitality Workflows
00:00 -
LO3: Evaluate the Impact of Robotics on Employee Roles and Guest Experiences
00:00 -
Quiz II
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Topic 7: Personalization and Marketing Automation
00:00 -
LO1: Explain How AI Enables Personalized Marketing and Tailored Guest Experiences
00:00 -
LO2: Analyze AI-Driven Tools Used for Automated Campaigns and Targeted Offers
00:00 -
LO3: Evaluate the Effectiveness of Personalization Strategies in Improving Guest Loyalty
00:00 -
Topic 8: Ethical, Privacy, and Data Protection Considerations
00:00 -
LO1: Describe the Key Ethical Concerns Related to AI Adoption in Hospitality
00:00 -
LO2: Evaluate the Importance of Privacy and Data Protection in AI-Driven Operations
00:00 -
LO3: Discuss Guidelines to Ensure Responsible and Ethical AI Implementation
00:00 -
Topic 9: AI Strategy and Implementation in Hotels and Resorts
00:00 -
LO1: Define the Steps for Developing an AI Integration Strategy in Hospitality
00:00 -
LO2: Analyze the Challenges of AI Adoption in Hotel and Resort Operations
00:00 -
LO3: Apply an AI Implementation Plan That Addresses Operational, Financial, and Ethical Considerations
00:00 -
Topic 10: Final Exam Review
00:00 -
LO1: Describe Core AI Concepts and Applications in Hospitality Management
00:00 -
LO2: Evaluate Case Studies Highlighting Successes and Failures of AI Adoption
00:00 -
LO3: Discuss AI-Based Improvements for a Hospitality Setting by Integrating Knowledge from Previous Lessons
00:00
