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@article{175530,
        author = {SHWETHA S and V.SRINIVASAKUMAR},
        title = {Predicting Online Vs Offline Preference by Customers in Wearing Apparels Using Discriminant Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3107-3113},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175530},
        abstract = {The dynamic intersection of online and offline re- tailing has created a shift on how customers adopt to shopping especially when it comes to apparel sector. This research paper attempts to understand the factors that influence a customer in his or her choice of choosing apparels either in online stores or at physical stores. In this study discriminant analysis is used to classify and predict the customer’s shopping habits based on the variables like convenience, price, quality, and variety. The results show distinct behavioral patterns, and highlight the factors determining the customer’s choice. The report offers actionable insights for optimizing multichannel strategies incorporating both traditional advantages and newer digital innovations. This research also bridges the gap between the theoretical frameworks and the practical aspects of understanding a predictive model that aligns with the current consumer trends. This implication is hence broader as it pertained to the academics, practitioners, and policymakers interested in improving customer engagement in an ever-evolving retail environment.},
        keywords = {Online shopping, Offline shopping, Apparel, Retail, Customer behavior, Discriminant analysis, Omnichannel retailing},
        month = {April},
        }