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Original Research


R. ANURADHA 1, and Dr. L. SUMATHY 2.

Vol 18, No 02 ( 2023 )   |  DOI: 10.17605/OSF.IO/BFK6X   |   Author Affiliation: Research Scholar, Department of Business Administration, Annamalai University, Tamilnadu, India 1; Assistant Professor, Department of Business Administration, Mannargudi Rajagopalswamy College, Mannargudi, Tamilnadu, India 2.   |   Licensing: CC 4.0   |   Pg no: 1432-1442   |   Published on: 25-02-2023


Retailing is one of India's oldest trade techniques. Weekly fairs, kirana stores, and other traditional retailing methods exist. The public distribution system's fair pricing shops are a massive retail net administered and overseen by that particular government. At the initial stage of the 21st century, there was a significant surge in organised and contemporary retail businesses. Many diverse formats have emerged in the Indian retail landscape. Department stores, hypermarkets, supermarkets, bargain stores, boutiques, and so on are examples of these formats. Another prominent retail type is speciality stores. There are stores that specialise in electronic and white goods, jewellery, footwear, and clothing. This retail revolution has been led by apparel merchants. Apparel and fashion items/products are not like other items/products. These products have short product life cycles and the turnover will be very high. Consumer buying habits for clothing and fashion items vary as well. Psychological satisfaction, rather than utility satisfaction, is more likely to influence garment purchase decisions. In this context, research of factors influencing clothes purchasing decisions is conducted at few specific apparel retailers. Similar investigations have been conducted in different locations and circumstances. However, no analogous study has been reported from the city of Chennai so far. The current study is based on primary data collected from clients of a selected Chennai clothes retailer. WEKA tool is used to analyse the collected data.


Women Apparel, Business Opportunities, Data Mining, Ensemble, Prediction