E-commerce Retail Trends & Impact Analysis

Introduction

This project analyzes global e-commerce trends and their impact on traditional retail. The analysis encompasses various datasets to understand consumer behavior, market dynamics, and the evolving landscape of e-commerce.

Dataset

The dataset can be downloaded from the following link: Dataset

Data Preprocessing

The preprocessing steps include:

• Handling duplicates
• Filling missing values
• Detecting outliers
• Standardization
• Normalization
• One-hot encoding
• Applying Principal Component Analysis (PCA) for dimensionality reduction
• Calculating Customer Lifetime Value (CLV)
• Conducting a What-if analysis to simulate the effect of different pricing strategies

Results

• E-commerce Growth: The analysis shows a significant increase in e-commerce sales over the past few years, particularly during the pandemic.
• Consumer Behavior: Insights reveal changing consumer preferences towards online shopping, with younger demographics leading the trend.
• Impact on Traditional Retail: Traditional retail has faced challenges, with many businesses pivoting to online models or enhancing their online presence.

Conclusion

The project highlights the transformative effects of e-commerce on the retail landscape. Key insights include:

• The necessity for traditional retailers to adapt to the digital environment to remain competitive.
• Understanding consumer behavior is crucial for formulating effective marketing strategies.
• Continued growth in e-commerce is expected, emphasizing the importance of innovation and flexibility in business models.

Acknowledgments

Thank you for reviewing this project. Any feedback or questions can be directed to [laibamazhar.000@gmail.com].