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 Book Chapter 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/. Title A name given to the resource Leveraging unsupervised machine learning to optimize customer segmentation and product recommendations for increased retail profits Description An account of the resource The retail sector's success hinges on understanding and responding adeptly to diverse consumer behaviours and preferences. In this context, the burgeoning volume of transactional data has underscored the need for advanced analytical methodologies to extract actionable insights. This research delves into the realm of unsupervised machine learning techniques within retail analytics, specifically focusing on customer segmentation and the subsequent recommendation strategy based on clustered preferences. The purpose of this study is to determine which unsupervised machine learning clustering algorithms perform best for segmenting retail customer data to improve marketing strategies. Through a comprehensive comparative analysis, this study explores the performance of multiple algorithms, aiming to identify the most suitable technique for retail customer segmentation. Through this segmentation, the study aims not only to discern and profile varied customer groups but also to derive actionable recommendations tailored to each cluster's preferences and purchasing patterns. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Upreti G.; Natarajan A.K. Source A related resource from which the described resource is derived Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 257-282. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-5288-5.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch009</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215355117&amp;doi=10.4018%2F979-8-3693-5288-5.ch009&amp;partnerID=40&amp;md5=fc8b21d99695328b29ed69b706d43a56" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215355117&amp;doi=10.4018%2f979-8-3693-5288-5.ch009&amp;partnerID=40&amp;md5=fc8b21d99695328b29ed69b706d43a56</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836935289-2; 979-836935288-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Upreti G., Christ University, India; Natarajan A.K., Samarkand International University of Technology, Uzbekistan