Poannekanti, Sai Kaushik (2025) Hospitality and travel: The technology behind personalized booking and dynamic pricing systems. World Journal of Advanced Research and Reviews, 26 (1). pp. 2062-2067. ISSN 2581-9615
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.
| Item Type: | Article |
|---|---|
| Official URL: | https://doi.org/10.30574/wjarr.2025.26.1.1246 |
| Uncontrolled Keywords: | Personalization Algorithms; Dynamic Pricing Systems; Travel Technology Infrastructure; Data-driven Hospitality; Artificial Intelligence in Tourism |
| Date Deposited: | 25 Jul 2025 15:41 |
| Related URLs: | |
| URI: | https://eprint.scholarsrepository.com/id/eprint/1940 |