<![CDATA[This study aims to analyze clothing rental patterns and identify customer segmentation of Nani Collaction Clothing Rental, as an effort to support strategic decision-making in the rental business. The method used is the K-Means algorithm with the determination of the optimal number of clusters using the Elbow Method. The data analyzed include clothing categories, costs, rental time, clothing types (men/women), and sizes (children/adults). The results show that the data can be grouped into four main clusters, namely the profession-based children's segment, the culture-based children's segment, the adult segment with high transaction value, and the niche youth segment. The children's segment has the largest transaction volume and is therefore the main market, while the adult segment contributes more to revenue. Meanwhile, the youth segment has specific and seasonal demand characteristics. The analysis results show that the clustering approach is effective in identifying customer patterns and can be used as a basis for developing business strategies, particularly in stock management, service innovation, and market segmentation. This study also recommends the implementation of segmentation-based strategies, the utilization of reservation technology, and the development of further research by adding more diverse variables and clustering methods.]]>
Copyrights © 2026
