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Climate change-induced weather changes are severe and frequent, making it difficult to predict apparel sales. The primary goal of this study was to assess consumers' responses to winter apparel searches when external stimuli, such as weather, calendars and promotions arise and to develop a decision-making tool that allows apparel retailers to establish sales strategies according to external stimuli.

The theoretical framework of this study was the effect of external stimuli, such as calendar, promotion and weather, on seasonal apparel search in a consumer's decision-making process. Using weather observation data and Google Trends over the past 12 years, from 2008 to 2020, consumers' responses to external stimuli were analyzed using a classification and regression tree to gain consumer insights into the decision process. The relative importance of the factors in the model was determined, a tree model was developed and the model was tested.

Winter apparel searches increased when the average, maximum and minimum temperatures, windchill, and the previous day's windchill decreased. The month of the year varies depending on weather factors, and promotional sales events do not increase search activities for seasonal apparel. However, sales events during the higher-than-normal temperature season triggered search activity for seasonal apparel.

Consumer responses to external stimuli were analyzed through classification and regression trees to discover consumer insights into the decision-making process to improve stock management because climate change-induced weather changes are unpredictable.

To be a dominant company (in other words, a long‐term successful company), it is an enormous task to build brand loyalty, to reach brand loyal customers, and to give those customers’ product satisfaction. The purpose of this study was to identify clothing brand loyal customers regarding their buying behavior, self‐image, and demographics. Also, brand loyal customers’ post‐purchase outcomes based on clothing attributes were investigated. The questionnaire was based on a self‐administrated pilot study and included measuring brand loyalty, consumer decision making, and demographics. Data were from 328 questionnaires completed by adult women living in Seoul, Korea. The results showed that in purchasing tee shirts, 24.4 percent of the sample were brand loyal customers, 42.2 percent were brand loyal customers in purchasing trousers and 38.7 percent were brand loyal customers in purchasing jackets. The multiple discriminant analysis indicated several significant variables for profiling brand loyal customers and non‐brand loyal customers. High price, brand loyal customers and low/medium price, brand loyal customers significantly differed in post‐purchase satisfaction.