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E-commerce Fashion Store Sales Analysis

This project analyzes the first-year performance of a newly launched fashion e-commerce store operating across seven major Indian states and six online sales channels (Ajio, Amazon, Flipkart, Meesho, Myntra, Nykaa).

Despite growing sales, a fashion e-commerce platform faces declining profitability . To develop data-driven strategies to reduce costs and increase profits.

Key Findings:

  • High shipped but low delivered orders — logistics and customer acceptance issues.
  • High return rates and negligible retention eroding profits.
  • Most sales come from Senior (50+) and Mature Adult (30–50) age groups, with low engagement from younger customers.
  • Seasonal trends and specific months (like May) show sales spikes, indicating campaign opportunities.

Suggested Actions: -Audit returned orders for common reasons (wrong size, damaged, misleading).

-Launch loyalty and rewards programs to retain customers.

-Improve after-sales support and customer experience.

-Align product assortment and pricing to attract younger demographics.

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Analyzed return trends and built an Excel dashboard to reduce product returns and boost customer retention.

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