The Ethnic Wear Project is a comprehensive initiative designed to analyze and optimize the ethnic fashion industry. By leveraging data-driven insights, this project helps businesses understand consumer preferences, market trends, product performance, and sales strategies. The project integrates market research, branding, product development, and sustainability efforts, ensuring that ethnic wear brands can deliver authentic, stylish, and culturally significant fashion to a diverse audience. The Ethnic Wear Dashboard provides an interactive and dynamic platform to analyze key metrics in the ethnic fashion industry. It enables businesses to explore sales performance, brand comparisons, product demand, and customer preferences. With customizable filters, users can refine their analysis based on product size, date range, and brand, making it easier to track trends, optimize inventory, and enhance marketing strategies.
Ethnic Wear Dashboard
Unveiling Trends in Traditional & Cultural Fashion
Category :
Clothing
Powered by :
YbAISolution
Tool Used :
Power BI
Designer :
Bhrami Zadafiya
Used descriptive, trend, and diagnostic analytics to identify top-performing brands like Biba, customer age group behavior, and seasonal shopping trends. Comparative insights across 8 marketplaces (Amazon, Myntra, Flipkart, etc.) revealed close revenue competition, while customer bounce rates highlighted improvement areas in product pricing or design strategy.
Additional Filters
The Ethnic Wear Dashboard has extra filters for better analysis. You can narrow down data by product size, date, and brand. This helps you focus on specific sizes, track trends over time, and compare different brands easily. These filters give you more detailed insights, making it easier to make informed decisions based on your preferences and needs.
Visualization Types:
- Card Visuals
- Drill-Through Capabilities
- Dax Functionality
