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STAYEASE: Shattering Holidaylettings with AI-driven personalization

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STAYEASE: Shattering Holidaylettings with AI-driven personalization


Sahil Sheikh



Sahil Sheikh "STAYEASE: Shattering Holidaylettings with AI-driven personalization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.937-943, URL: https://www.ijtsrd.com/papers/ijtsrd79710.pdf

The holiday let industry is undergoing a revolution, as travelers demand more efficient, hassle-free, and customized holidays. The traditional booking processes cannot fulfill some of the requirements, and thus the experiences turn out to be suboptimal, leading to customer dissatisfaction. StayEase solves such problems by leveraging cutting-edge artificial intelligence (AI) to transform holiday rental discovery, booking, and management. With the power of AI personalization, StayEase handles massive amounts of user information as prior booking history, browsing history, customer reviews, and ratings in real time. This enables the website to provide personalized accommodation suggestions based on each visitor's individual preference, e.g., preferred features, location, and budget. Advanced machine learning algorithms also compute users' requirements and suggest personalized experiences, e.g., nearby attractions, restaurants, and personalized itineraries. Aside from recommendations, StayEase also has AI-powered chatbots and virtual assistants to provide automated support, responding instantly, fixing bookings, and providing travel recommendations. The dynamic pricing feature of the platform utilizes AI to track movement in the market, peak season demand, and competitor prices to have competitive but optimum pricing approaches for property managers and optimum value obtained for tourists. Furthermore, StayEase also improves property management through smart automation and predictive maintenance. AI-based systems monitor property status, detect probable issues requiring maintenance, and pre-book the same to ensure a hassle-free experience for both guests and hosts. Real-time guest feedback processed through machine learning algorithms offer continuous opportunities for improvement through exposing pain points and optimizing service delivery.

Holiday rentals , AI-driven personalization , Travel industry transformation, Customized holidays ,Booking optimization, Machine learning algorithms, Personalized recommendations, AI-powered chatbots, Virtual assistants, Dynamic, pricing


IJTSRD79710
Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025
937-943
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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