Enhancing Guest Loyalty in the Hotel Industry Through Artificial Intelligence-Drive Personalization

Author:

Saxena Sanjeev Kumar1ORCID,Gupta Vandana2ORCID,Kumar Sunil3

Affiliation:

1. Assam University, India

2. LM College of Science and Technology, Jodhpur, India

3. Institute of Hospitality Management, Kotdwar, India

Abstract

This chapter is a product of the author's extensive first-hand experience gained during their professional journey and as well as their interactions with colleagues who are occupying the role of senior management in various hotels. Personalization has become the key factor for enhancing the experiences of the guest and also to foster loyalty in the hotel industry. The industry has witnessed a significant shift towards artificial intelligence (AI) that plays a pivotal role in providing various opportunities that tailor the guests' preferences accordingly. Through this chapter, the researcher aims to identify the influence of AI on guest loyalty, guest profiling and service customization within the hospitality sector. In addition to examining guest profiling and customized services, this study examines the challenges and ethical considerations related to AI-powered personalization and guest loyalty.

Publisher

IGI Global

Reference41 articles.

1. THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON GUEST SATISFACTION IN HOTEL MANAGEMENT: AN EMPIRICAL STUDY OF LUXURY HOTELS

2. Customer experiences in the age of artificial intelligence

3. Customer experiences in the age of artificial intelligence

4. Digital technology enablers and their implications for supply chain management. In Supply Chain Forum;M.Attaran;International Journal (Toronto, Ont.),2020

5. Analysis of best practice of artificial intelligence implementation in digital marketing activities.;I.Banjac;CroDiM: International Journal of Marketing Science,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3