DETERMINATION OF CUSTOMER APPAREL PREFERENCES BY USING LATENT CLASS ANALYSIS: AN APPLICATION FOR KOTON BRAND
In the Fast Fashion sector, identifying the fashion orientation and lifestyle of their customers provides an enterprise the understanding of the needs and desires of their customers alongside helping the implementation of appropriate marketing strategies and achieving upper hand in the competition. In this study, it is aimed to classify their preferences regarding the fashion orientation and lifestyle of their female customers to develop marketing strategies for KOTON, a fast fashion company operating in Turkey as well as globally. For this purpose, Latent Class Analysis was applied as an analytical method and appropriate marketing strategies were suggested for each class. http://dx.doi.org/10.17130/ijmeb.2019252110
Abstract This paper discusses a recognition processing between patterns represented by N points in R 2 . As the processing is founded on the comparison of “ordonnances” obtained by ordering the Euclidian distances between the N points, it does not depend on either translation, rotation or homothety and also allows up to 10 per cent distortion. Experimental results are presented.