• Journal of the Korean Society of Costume
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• v.52 no.2
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• pp.139-150
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• 2002

The purpose of this study was to explore the effects of meteorological factors on sales of apparel products. Basic fiat came out daily meteorological data and sales data of apparel products in department store from 1998 to 2000. Four factors(the average temperature, rainfall, wind velocity, sunshine duration) from the nine meteorological factors were selected and were collected with Korea Meteorological Administration. Sales data were collected with business strategy department of H (department store in Seoul. The sales data were divided into six classifications, which are woman's wear, men's wear, children's wear, golf wear, sports wear, and inner wear. The results of this study were as follows: 1) Sales of apparel products were significantly correlated with the average temperature, rainfall, wind velocity, sunshine duration. Among the meteorological factors, temperature turned out to be the most influential in apparel sales and then the amount of rainfall, sunshine duration affected sales according to apparel classifications differently. 2) There were some differences among the apparel classifications in the effect of meteorological factors on the sales of apparel. In the spring. the higher the temperature was, the higher the sales of women's wear and golf wear were, but the lower the sales of children's wear, sports wear and inner wear were. In the summer, The higher the amount of rainfall was, the lower the sales of all the apparel classification were. The higher the temperature was, the higher the sales of sports wear were. In the fall, the lower the temperature was, the higher the sales of all the apparel classification except snorts wear were. In the winter, the meteorological factors had little effect on the sales of women's wear, men's wear and children's wear. The higher the temperature was, the higher the sales of golf wear were. The lower the temperature was, the higher the sales of sports wear were.

• The Korean Fashion and Textile Research Journal
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• v.19 no.4
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• pp.434-447
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• 2017

This study investigated the effects of influencing factors on the sales volume of apparel products. Based on previous studies, weekend effect, discount rate, and meteorological factors including daily average temperature, rainfall, sea level pressure, and fine dust were selected as independent variables to calculate their effects on sales quantity of apparel products. The daily sales data during 2015 - 2016 were collected from casual brands and outdoor brands which "A" apparel manufacturing company had operated. The actual data of "A" company were analyzed using SAS(R) 9.4 and SAS(R) Enterprise Miner 14.1. The results of this study were as follows: First, the influencing factors on total sales volume of apparel products were proved to be the weekend effect, discount rate, and fine dust. Second, the analysis of influencing factors on sales volume of apparel products according to season showed: 1) In casual brands, the average temperature had a significant influence on the sales volume of spring/summer products, and the sea level pressure affected the sales volume of summer/fall/winter products significantly. 2) In outdoor brands, the average temperature and the fine dust had a significant influence on the sales volume of all season's products. The sea level pressure affected the sales volume of summer/fall/ winter products significantly. The weekend effect and the discount effect affected the sales volume of apparel products partly. Third, the effect of rainfall was not proven significant, which was different from the results of past studies.

• The Korean Fashion and Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1369-1380
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• 2005

This study suggests a strategy of providing apparel product information from the wearers' perspective on Internet shopping malls, as a way of compensating for the lack of opportunities to try on the actual product. On an actual Internet shopping mall that sells apparel product, the 'trial-experience information' (the experiential information provided by the fit models who tried on the products) was provided for 83 different items from four women's wear brands. The traffic and sales performances (number of visitors, page view, gross sales of goods, conversion rate, and the numbers of customer transactions) of the apparel product websites that contain trial-experience information were compared to the performances of the brand's websites before this information was implemented. The changes in percent contribution of these brands in women's wear category were also noted. The specific results are as follows: First, all the four performance measures as well as the percent contribution of the experiment products in women's wear category increased noticeably throughout the experiment period (11 to $103\%$). Second, when the percent contribution of these brands in women's wear category in terms of traffic and sales performances were compared to the previous year, these measures increased between $497\%\;and\;2851\%$. Third, the amount of customer transactions also increased after the trial-information was provided, yet to a relatively smaller extent $(29.04\%\;to\;55.25\%)$. The findings showed that trial-experience information provided on the Internet shopping malls may reduce customers' risk perception and lead to increased sales of apparel product and improve the site use ratio.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.4
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• pp.634-643
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• 2009

The aim of this study was investigating the consumers' and apparel firm worker's awareness and reliability of the environmental friendly textile materials. The subjects of the questionnaire survey were general consumers(n=235) and workers at Korean apparel firms(n=236). The questionnaire was developed to measure the awareness and reliability on nine environmental friendly textile materials. The results showed that general consumers had a higher reliability on the function of the environmental friendly materials but had a lower awareness than the workers at the apparel firms. Women and subjects, who experienced in purchasing the environmental friendly products, had higher awareness and reliability of the environmental friendly textile materials than others. The workers at apparel firms had higher awareness of the environmental friendly textile materials than the general consumers, but the reliability on the function of the materials was relatively low. The reliability and awareness differed by the firms' major products and their jobs. The workers at the children's clothing firms and sportswear firms had higher level of awareness about the environmental friendly textile than the workers at the casual-wear firms. The workers' awareness on environmental friendly textile materials was differentiated by their jobs. The product developers and material buyers had higher awareness on the environmental friendly textiles compare to the workers of the sales or marketing division. These results imply that promoting environmental friendly textile material to the sales person is needed in order to increase the sales volume of the products.

• The Korean Fashion and Textile Research Journal
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• v.17 no.5
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• pp.754-769
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• 2015

Global sourcing refers to activities performed to acquire materials, finished products and apparel production all around the world. The purposes of the study were to examine basic job requirements and primary skills of sales team and supporting team in global sourcing companies, to investigate educational programs provided by the companies or other educational institutions, and to examine courses to be newly established in the curriculum of clothing and textile majors. The results of the study found that the ability to use English and communication skills were important to perform their tasks (sales and supporting teams). The results revealed that fabric and textile, sewing, and apparel production process were the most frequently taken educational programs provided by global sourcing companies and English classes were the most frequently taken educational programs in the other educational institutions. The results also found that the clothing and textile curriculum need to add classes that help sales and supporting teams perform global sourcing tasks, such as fashion practical English, fabric and textile, apparel production processes, textile and apparel trades, fiber and fabric testing, and presentation skills. The study suggested educational directions for developing curriculum contents of clothing and textiles and cultivating professionals in the global sourcing industries.

• The Korean Fashion and Textile Research Journal
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• v.9 no.2
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• pp.188-196
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• 2007

Fashion business is undergoing a severe competition because of the various consumers' needs, over production, and short product life styles. The purpose of this study is to investigate the role of personalization in apparel shopping. Characterizing the notion of the personalization typology, investigating the effect of personalization to different consumers, and providing useful issues to draw more target consumers are to be accessed. For empirical research a survey method was employed. A measure for personalization in apparel shopping was developed based in existing scale items and pilot study. Consumers responded highly on design personalization in shopping apparel products. Factor analysis extracted six dimensions of apparel product personalization. Six types of personalization were: "personalized advice", "personalized design choice", "personalized fit", "sales-promotion personalization", "personalized costomer relationship management" and "in-store personalization".

• The Research Journal of the Costume Culture
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• v.25 no.2
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• pp.117-129
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• 2017

The purpose of this study was to investigate meteorological factors' effects on clothing sales based on empirical data from a leading apparel company. The daily sales data were aggregated from "A" company's store records for the Fall/Winter season from 2012 to 2015. Daily weather data corresponding to sales volume data were collected from the Korea Meteorological Administration. The weekend effect and meteorological factors including temperature, wind, humidity, rainfall, fine dust, sea level pressure, and sunshine hours were selected as independent variables to calculate their effects on A company's apparel sales volume. The analysis used a SAS program including correlation analysis, t-test, and multiple-regression analysis. The study results were: First, the weekend effect was the most influential factor affecting sales volume, followed by fine dust and temperature. Second, there were significant differences in the independent variables'effects on sales volume according to the garments' classification. Third, temperature significantly affected outer garments'sales volume, while top garments' sales volume was not influenced significantly. Fourth, humidity, sea level pressure and sunshine affected sales volume partly according to the garments' item. This study can provide proof of significant relationships between meteorological factors and the sales volume of garments, which will serve well to establish better inventory strategies.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.2
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• pp.1-10
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• 2015

The purpose of the study was to analyze differences in importance of product selection criteria of retail buyers in Dongdaemum market according to price line of products, annual sales volume of the company, and work period as a retail buyer. The study defined a retail buyer as a buyer who buys apparel products in Dongdaemum market for their own stores. The questionnaire developed by the researchers was distributed to 200 retail buyers in Dongdaemun market. One hundred seventy two questionnaires were used in the final analysis. The data were analyzed by common factor analysis, ANOVA, and Tukey's test using SPSS 18.0/Windows. The results showed that product selection criteria were classified into 4 factors: fashion design, price, quality, and assortment. There were significant differences in importance of product selection criteria by retail buyers in Dongdaemum market according to price line of products and annual sales volume of the company, and work period as a retail buyer. The buyers of higher price products showed higher importance in all four factors of the product selection criteria. Also, the buyers of the company with lower annual sales volume considered price factors more important, but the buyers of the company with higher annual sales volume thought quality factor more important. Moreover, the buyer with work period of less than three years regarded price as a more important factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.280-291
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• 2004

Apparel goods are classified by many criteria for ease of merchandising implementation. Fashion and basic goods are also an oucome oi classification. Previous studies pnvide some criteria by which apparel products can be classified into fushion and basic goods. Among those ciiteria, seasonality, fashionability, clothing types, complexity in pnduction, simplicity of style, pioducuon volume, degree of style change by season, could be listed. This study, first explored how apparel merchandisers and designers define fashion and basic goods in relation with those criteria. Definitions of fashion and basic goods were explored in terms of design elements (i.e., style, color, material), production volume, sales ratio, proportion in product assortment, and contribution to profit. The study adopted a qualitative approach by use of eighteen infepth interviews with menhandisers and designers. Six were from women＇s wear brand, Seven from men＇s wear brand, and 5 from casual wear brand. All the interviewees agreed that they are using the classification of basic vs. fashion goods. However, they are using diverse terms to indicate the basic and fashion goods. The interviewees defined each group based on its contribution to total sales or profit complexity in design, production volume, and style change by season. Basic goods had a higher level of production quantity, contribute more to profit simpler design, and less style change by season than fashion goods.