Insights into Luxury Fashion: An Analytical Dive into the SSENSE Product Portfolio

Description

This project conducts a comprehensive analysis of a dataset containing product listings from SSENSE, a renowned retailer in designer fashion and high-end streetwear. The dataset includes data about brands, product descriptions, prices, and target genders, providing insights into trends, pricing strategies, brand positioning, and gender segmentation in the luxury fashion e-commerce sector.

Contents

1. Dataset Description

• Source: SSENSE
• Features: Brand, Description, Price in USD, Target Gender

2. Analytical Approach

• Price Distribution and Statistics
• Brand Analysis: Frequency and Pricing Strategies
• Gender-Based Insights: Product Count and Pricing Differences
• Product Category Analysis: Common Categories and Price Comparisons

3. Key Findings and Insights

• Market segmentation by gender and product categories
• Variation in pricing across different brands and categories
• Brand-specific strategies in product diversity and targeting
• Predominance of men's products in the dataset, with notable brand-specific exceptions

4. Technologies Used

• Data Analysis: Python, Pandas
• Data Visualization: Matplotlib, Seaborn

5. Conclusion

• Summary of insights on luxury fashion market dynamics
• Implications for marketing strategies and inventory management in luxury fashion retail

6. Future Scope

• Expanding the analysis with more datasets
• Incorporating consumer behavior and sales data for a more comprehensive understanding

Author Information

Hafida Belayd