Transforming Travel Planning: The Impact of Generative AI on Itinerary Optimization, Cost Efficiency and User Experience

Authors

  • Chandra Sekhar Veluru Santa Clara, United States Author

DOI:

https://doi.org/10.47363/e0hbxj69

Keywords:

Generative AI, AI in Travel, AI Powered Content Generation, AI Powered API Querying

Abstract

The travel industry has been undergoing a revolution for a few years now due to rapid technological advancements. This article assesses the application of Generative AI in travel planning, focusing on itinerary generation, low-fare finding, no-crowd planning, and route optimization. The study employed a quantitative methodology with 10 participants using an AI-powered website. Structured surveys gathered feedback on usability, efficiency, and satisfaction. Users were very satisfied with the AI-enhanced website, especially in terms of navigation, personalized itineraries, price accuracy, and data security. However, areas for improvement in time efficiency were indicated. The study concludes that Generative AI significantly improves trip planning,offering convenience, personalization, and efficiency. Future work should focus on refining AI features and exploring additional applications to further optimize travel planning.

Author Biography

  • Chandra Sekhar Veluru, Santa Clara, United States

    Chandra Sekhar Veluru, Santa Clara, United States

Downloads

Published

2023-10-31

How to Cite

Transforming Travel Planning: The Impact of Generative AI on Itinerary Optimization, Cost Efficiency and User Experience. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(4), 1-8. https://doi.org/10.47363/e0hbxj69

Similar Articles

1-10 of 134

You may also start an advanced similarity search for this article.