Artificial Intelligence and Machine Learning in the Travel Industry: Simplifying Complex Decision Making
- 5h 23m
- Ben Vinod
- Palgrave Macmillan Ltd
- 2023
Over the past decade, Artificial Intelligence has proved invaluable in a range of industry verticals such as automotive and assembly, life sciences, retail, oil and gas, and travel. The leading sectors adopting AI rapidly are Financial Services, Automotive and Assembly, High Tech and Telecommunications. Travel has been slow in adoption, but the opportunity for generating incremental value by leveraging AI to augment traditional analytics driven solutions is extremely high.
The contributions in this book, originally published as a special issue for the Journal of Revenue and Pricing Management, showcase the breadth and scope of the technological advances that have the potential to transform the travel experience, as well as the individuals who are already putting them into practice.
About the Author
Ben Vinod is a co-founder of Charter and Go, a dynamic offer, order management, and dispatch solution for air charter operators. He served as vice president of pricing, yield management, and reservations inventory control at American Airlines Decision Technologies (1993–1999) and was senior vice president and chief scientist at Sabre (2008–2020), focused on innovation and thought leadership in pioneering advanced solutions across the travel value chain for travel suppliers and intermediaries. He has published over 50 articles in academic and trade journals, is a member of AGIFORS, and serves on the editorial board of the Journal of Revenue and Pricing Management.
In this Book
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Editorial: Special Issue on Artificial Intelligence/Machine Learning in Travel
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Research Article: Price Elasticity Estimation for Deep Learning-Based Choice Models: An Application to Air Itinerary Choices
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Research Article: An Integrated Reinforced Learning and Network Competition Analysis for Calibrating Airline Itinerary Choice Models with Constrained Demand
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Research Article: Decoupling the Individual Effects of Multiple Marketing Channels with State Space Models
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Research Article: Competitive Revenue Management Models with Loyal and Fully Flexible Customers
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Research Article: Demand Estimation from Sales Transaction Data: Practical Extensions
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Practice Article: How Recommender Systems can Transform Airline Offer Construction and Retailing
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Practice Article: A Note on the Advantage of Context in Thompson Sampling
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Practice Article: Shelf Placement Optimization for Air Products
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Practice Article: Applying Reinforcement Learning to Estimating Apartment Reference Rents
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Practice Article: Machine Learning Approach to Market Behavior Estimation with Applications in Revenue Management
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Practice Article: Multi-Layered Market Forecast Framework for Hotel Revenue Management by Continuously Learning Market Dynamics
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Practice Article: Artificial Intelligence in Travel
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Practice Article: The Key to Leveraging AI at Scale
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Thoughts: The Future of AI is the Market
