The Integration of AI With IoT for Personalized In-Store Experiences in the Experience Economy

Yadav, Rohit, Huzooree, Geshwaree and Yadav, Mohit (2025) The Integration of AI With IoT for Personalized In-Store Experiences in the Experience Economy. In: Leveraging AI-Powered Marketing in the Experience-Driven Economy. IGI Global Scientific Publishing, pp. 259-278. ISBN 9798369395615

[thumbnail of The-Integration-of-AI-With-IoT-for-Personalized-In.pdf] Text
The-Integration-of-AI-With-IoT-for-Personalized-In.pdf - Published Version
Restricted to Repository staff only

Download (638kB) | Request a copy

Abstract

This chapter explores the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in retail, collectively referred to as AIoT, and its transformative impact on in-store customer experiences. By combining AI's ability to personalize customer interactions with IoT's capacity to connect and optimize physical environments, retailers can enhance engagement, improve operational efficiency, and create seamless, data-driven shopping experiences. The chapter examines AIoT's role in driving personalized retail experiences, its impact on customer behavior, and the technological innovations shaping future trends. It also discusses challenges and ethical considerations, including data privacy, cybersecurity, and algorithmic fairness. Ultimately, AIoT is positioned to revolutionize retail in the Experience Economy, offering significant opportunities for innovation and competitive advantage. The chapter concludes with recommendations for retailers to leverage AIoT responsibly while fostering customer trust.

Item Type: Book Section
Subjects: Social Sciences and humanities > Business, Management and Accounting > Business and International Management
Social Sciences and humanities > Business, Management and Accounting > Management Information Systems
Physical, Life and Health Sciences > Computer Science
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Gautam Kumar
Date Deposited: 15 May 2025 09:54
Last Modified: 15 May 2025 09:54
Official URL: https://doi.org/10.4018/979-8-3693-9561-5.ch009
URI: https://pure.jgu.edu.in/id/eprint/9518

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item