The Impact of Intelligent Business Technology on User Purchase Decisions and Experience in Travel E-commerce Platforms

Jiayi Song ()
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Jiayi Song: Hainan University

A chapter in Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025), 2025, pp 1031-1038 from Springer

Abstract: Abstract Smart business tech has completely changed the travel e-com space, shifting transaction platform to experiential platform. This paper examines how it affects what they buy, overall experience, and related processes. This study scrutinized all available literature and integrated empirical information with the aim to analyse how intelligent automation and hyper-personalization are reshaping consumers’ discovery, planning, booking, and overall journey. Findings show that all these advanced technologies get strategically integrated together in one place to bring about an all-round more streamlined, understandable, personalized and engaging user journey. AI-powered recommendation engines deliver relevant, timely travel options, having a big effect on what people think about and end up booking. Advanced chatbots supply fast, 24-hour a day, and situation-aware customer help, which improves client satisfaction and simplifying complex purchases. Besides, the immersive technologies such as virtual reality create innovative and robust ways for potential customers to interact with travel destinations and accommodations pre-booking, reducing psychological uncertainty and strengthening emotional ties to drive booking. Four data tables showing these impacts. The study concludes that for travel e-commerce platforms in order to succeed and hold their place in the market as leaders, the use of intelligent business technologies in a strategic and data-driven way is not optional, it is fundamental, for these companies to create great customer experiences and decisively lead purchases in today’s digital world.

Keywords: Intelligent Business Technology; Travel E-commerce; Technology Acceptance Model (TAM) (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-888-2_100

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