Hospitality and travel: The technology behind personalized booking and dynamic pricing systems

The travel and hospitality industry has undergone a technological revolution, transforming booking platforms from simple reservation systems into sophisticated technology ecosystems powered by artificial intelligence and big data analytics. These advanced systems process immense volumes of heterogeneous data from multiple sources to deliver personalized experiences while optimizing revenue through dynamic pricing strategies. This article explores the technological infrastructure behind these systems, examining how they ingest data at scale, leverage machine learning for personalization, and implement dynamic pricing models that respond to market conditions in real time. The article details the evolution of data processing capabilities, recommendation algorithms, and pricing optimization techniques that have fundamentally changed how travelers interact with booking platforms and how travel companies manage their inventory and revenue streams.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-04-19
DOI
https://doi.org/10.30574/wjarr.2025.26.1.1246
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Hospitality and travel: The technology behind personalized booking and dynamic pricing systems

Sai Kaushik Poannekanti
World Journal of Advanced Research and Reviews
Transportation and Mobility Innovations
article

Hospitality and travel: The technology behind personalized booking and dynamic pricing systems

Sai Kaushik Poannekanti
article en

Abstract

The travel and hospitality industry has undergone a technological revolution, transforming booking platforms from simple reservation systems into sophisticated technology ecosystems powered by artificial intelligence and big data analytics. These advanced systems process immense volumes of heterogeneous data from multiple sources to deliver personalized experiences while optimizing revenue through dynamic pricing strategies. This article explores the technological infrastructure behind these systems, examining how they ingest data at scale, leverage machine learning for personalization, and implement dynamic pricing models that respond to market conditions in real time. The article details the evolution of data processing capabilities, recommendation algorithms, and pricing optimization techniques that have fundamentally changed how travelers interact with booking platforms and how travel companies manage their inventory and revenue streams.

World Journal of Advanced Research and ReviewsVol. 26(1)
Openalex Percentile: Top 93%
Transportation and Mobility Innovations
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