Uses of AI in Hospitality

Speaker

Ioannis Aggelakis

About The Speaker

Giannis Aggelakis is an experienced AI & DT trainer and consultant, specializing in commercial strategy and business growth through digital infrastructure. He trains corporate executives, entrepreneurs, and students in areas such as artificial intelligence and digital transformation. He collaborates with notable educational institutions internationally, delivering a range of open-enrollment programs as well as bespoke, in-house corporate courses.

Giannis frequently shares actionable strategies and highlights emerging opportunities for hospitality professionals, showcasing how the latest advancements in AI are reshaping travel behaviors. Using compelling, real-world examples, he helps industry stakeholders translate complex AI concepts into actionable strategies for growth. In the hospitality sector, Giannis serves as a trainer and digital growth advisor, who helps hospitality stakeholders leverage artificial intelligence for overall performance optimization, enhanced guest experiences, and gain competitive advantage. His career includes leadership positions in marketing with companies like Kathimerini and Forthnet/Nova Group.

LinkedIn: https://www.linkedin.com/in/aggelakis/linkedin

Upcoming Event

Uses of AI in Hospitality

  • 3rd & 4th March, 2026
  • Online
  • 1PM to 4PM
  • Rs 20,000 (MQA approved & HRDC refundable up to 90%)
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Course Details

Overview

The Artificial Intelligence (AI) for Hospitality Programme is designed to highlight the developments and opportunities that AI will bring to the hospitality industry. Upon its completion, participants will be able to immediately apply most of the contents that will be mentioned.

The seminar is entirely hands-on, packed with real examples, live demos, and ready-to-use tools that hoteliers can apply in their business immediately after the session. It covers all the latest industry trends, drawing from up-to-date studies, market reports, and real use cases worldwide. Participants discover how AI can elevate their digital presence, optimize marketing performance, automate customer service, personalise guest experiences, and improve operational efficiency.

Course Objective

  • Understand the concepts of AI and how they can be applied to hospitality.
  • Map the guest journey and identify new AI opportunitie in each stage.
  • Create marketing content & social media posts
  • Improve online reputation management
  • Support guest communication (chatbots, emails, FAQs)
  • Understand how AI supports revenue management & upselling.
  • Identify new opportunities for growth
  • Design simple AI workflows for daily operations (SOPs, checklists, training etc).

Profile of participants

Hotel Owners, Marketing Officer, Digital Marketer, Managers of Hotel, Directors, Front Office managers, F&B, operations etc…

Course Outline

1.Basic Principles of Artificial Intelligence in Tourism

  • Introduction to Artificial Intelligence: What it is, challenges, changes and effects on the tourism market.

2. Utilization of Artificial Intelligence in the overall presence of Hotel Businesses

  • Optimizing the Online Presence: Image analysis and approaching new customers.
  • Specialized Content Creation Tools: Attracting interest through content.

3. Artificial Intelligence Applications to Improve Customer Service and Experience (Customer Engagement)

  • Increased Bookings Using Artificial Intelligence.
  • Improving Reviews, SEO Rankings, & AI Automations (Loyalty, Customer Satisfaction Surveys, etc.).

4. Examples and Applications of Artificial Intelligence

  • Selected Examples and Use Cases: AI reservation systems, experience chatbots, innovations, etc.)

5. Corporate Virtual Assistants (AI Chatbots)

  • Applications and Advantages of Virtual Assistants and Impact on Visitor Decision.

6. Use of Artificial Intelligence with Computer Vision Technology

  • Computer Vision Applications in the Tourism Sector: Hotels, restaurants, etc.

7. Applications of Artificial Intelligence in Pricing

  • Dynamic Pricing Applications: Predictive Models and Revenue Management.

8. Applications of Artificial Intelligence in the management of Energy Autonomy

  • Improving energy autonomy through the use of advanced technologies.

9. Issues of personal data protection and ethical use of Artificial Intelligence

10. Conclusions & discussion on the role of Artificial Intelligence in shaping the future of hospitality.

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