Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Haneefa, K.V.; Singh, Harmandeep Title A name given to the resource Enhancing Quick Commerce Service Experience Through AI Marketing: An Empirical Investigation Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Leveraging AI-Powered Marketing in the Experience-Driven Economy;pp.203-228 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9561-5.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9561-5.ch007</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004515941?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004515941?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Haneefa K.V., Christ University, Bangalore, India; Singh H., Christ University, Bangalore, India Description An account of the resource This study examines the impact of AI-driven marketing strategies on quick commerce service experience (QCSE). Specifically, it investigates how personalization, smart search, and dynamic pricing influence consumers' perceptions of service experience in ultra-fast delivery platforms. Using partial least squares structural equation modelling (PLS-SEM) on survey data from 427 quick commerce users in India, the study finds that personalization has the strongest positive effect on QCSE, followed by dynamic pricing, while smart search has a weaker yet significant impact. The research validates QCSE as a higher-order formative construct comprising app design, security, fulfilment, and service support dimensions. The findings contribute to signaling theory by demonstrating how AI-driven marketing features serve as signals of platform experience perceptions. For practitioners, the results highlight the importance of AI-powered personalization and pricing strategies in enhancing service experiences. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939563-9; 979-836939561-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online