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U P L O A D E R
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Ai-Powered Fo Operations & Guest Experience Management
Published 2/2026
Created by Europe Hotel School
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 26 Lectures ( 2h 35m ) | Size: 3.8 GB​
Apply AI to reservations, guest experience, and front office services while preserving the human touch
What you'll learn
✓ Explain how artificial intelligence is applied in hotel front office operations.
✓ Use AI tools to support reservations, demand forecasting, and availability management.
✓ Apply AI platforms to enhance guest communication and service personalization.
✓ Balance automation with empathy and professional judgment in guest interactions.
✓ Understand ethical, data protection, and future considerations for AI use in front office roles.
Requirements
● Basic understanding of hotel front office operations
● No prior AI or technical background required
● Interest in guest service, hospitality technology, or digital transformation
● Access to a computer or mobile device with internet connection
Description
This course contains the use of artificial intelligence.
This course introduces how artificial intelligence is transforming front office operations in the hotel industry. Designed for hospitality professionals working in guest-facing roles, the course focuses on how AI enhances efficiency, accuracy, and personalization across the guest journey-while reinforcing the importance of human judgment, empathy, and service professionalism.
The course begins with the foundations of AI in hospitality, helping learners understand basic AI concepts, terminology, and why AI adoption is rapidly increasing in hotel front office environments. Learners explore the evolving role of the front office as the central hub of the digital guest journey and examine both the benefits and limitations of AI-driven services.
The course then focuses on AI-enhanced reservations and demand management. Learners will understand how AI improves booking accuracy, demand forecasting, channel optimization, overbooking management, and collaboration between front office and revenue teams. Emphasis is placed on using AI insights to support operational decisions while protecting guest satisfaction.
In the next module, learners are introduced to common AI platforms used in hotel front offices, including chatbots, virtual concierges, smart PMS features, guest messaging systems, and sentiment analysis tools. Practical use cases demonstrate how front office teams interact with AI tools, manage AI-generated guest communication, integrate systems, and handle troubleshooting and escalation scenarios.
The course also explores AI-driven guest experience personalization and service recovery. Learners examine how AI supports personalized check-in and stay experiences, identifies guest preferences, detects dissatisfaction, and assists with complaint management-while maintaining empathy and professionalism.
Finally, the course addresses ethics, data protection, and the future of AI in front office operations. Learners gain awareness of data privacy responsibilities, ethical AI use, evolving front office roles, continuous training needs, and emerging trends that will shape the future of hospitality services.
Who this course is for
■ Front office agents, supervisors, and duty managers
■ Guest relations and concierge teams
■ Hotel operations managers overseeing front office functions
■ Hospitality students preparing for guest-facing roles
■ Hotel staff involved in digital transformation initiatives


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