This study analyzes supply chain, brand, and marketing strategies across four fashion business models: digital fast fashion, traditional fast fashion, integrated e-commerce platforms, and high-end luxury brands. Based on data from industry reports, corporate disclosures, and databases covering 2020-2024, key performance metrics such as inventory turnover, forecast accuracy, marketing ROI, and customer acquisition cost are evaluated. Statistical methods including ANOVA, t-tests, bootstrap confidence intervals, and ARIMA forecasting are used to assess differences and trends. Results show that digital and platform-based firms achieve higher operational efficiency but lower marketing returns, while traditional and luxury brands excel in profitability and brand equity. A notable finding is the “loyalty-efficiency paradox,” where high customer repurchase rates do not necessarily yield high ROI. The study offers practical insights for aligning business strategy with growth, cost, and brand positioning goals in a highly competitive global fashion market.

fashion industry, economic analysis, supply chain, brand, market strategy