Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 667 g
Leveraging Ai, Data and Analytics in Travel
Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 667 g
ISBN: 978-1-3986-2530-3
Verlag: Kogan Page
Implement AI strategies to optimise performance and deliver stronger customer experiences in tourism.
Technology-Led Tourism is a practical guide for managers, department heads and industry professionals who want to develop credible strategies for applying AI across the travel sector. It bridges the gap between technology and tourism, offering frameworks you can implement to enhance both operational efficiency and guest engagement.
Written by Shaon Talukder, this book draws on detailed real-world examples from Expedia, Amadeus, Delta Airlines and Airbnb to show how AI principles are already reshaping travel. With insights from adjacent industries such as finance and media, it highlights proven approaches that tourism professionals can adapt to stay competitive.
You'll learn how to:
- Apply AI frameworks to optimize operations and decision-making
- Develop data foundations that enable scalable, reliable innovation
- Implement principles from other industries to strengthen strategy
- Build credibility by applying actionable tools to your own context
- Translate AI opportunities into measurable career and business impact
With clear models, real-world examples, and actionable guidance, Technology-Led Tourism equips mid- to senior-career professionals to implement strategies that not only improve performance but also elevate their role as informed, forward-looking leaders in the industry.
Themes include: AI in tourism, travel strategy, data frameworks, operational efficiency, customer experience, innovation adoption
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Dienstleistungssektor & Branchen Tourismuswirtschaft, Gastgewerbe
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
Weitere Infos & Material
Chapter - 01: Introduction: The journey to AI-enhanced travel; Chapter - 02: Personalisation and AI; Chapter - 03: Harnessing Generative AI to Produce and Personalise Content; Chapter - 04: Understanding Visits in a New Data Era; Chapter - 05: Making Travel Seamless; Chapter - 06: Building Resilient Data Foundations for the Industry; Chapter - 07: Attribution is the Holy Grail of Travel; Chapter - 08: Dynamic Pricing and Smart Revenue Management; Chapter - 09: Predictive Analytics in Travel Planning; Chapter - 10: Automation in Operations: From check-ins to chatbots; Chapter - 11: Customer Support in Real-Time: AI to the rescue; Chapter - 12: The Future of AI in Travel: Beyond borders; Chapter - 13: Sustainability: How do we harness the potential of AI to solve environmental challenges; Chapter - 14: Conclusion: Embracing AI without losing the human touch;
