Analyzed retail store sales data to uncover key insights about product performance, profit trends, and customer segments using Python and data visualization tools.
This project analyzes and visualizes retail store sales data to extract actionable insights. The goal is to support strategic decision-making by identifying trends and patterns in sales, profit, and customer behavior.
- Identify months with the highest and lowest sales.
- Determine best and worst performing product categories and sub-categories.
- Analyze monthly profit trends to highlight the most profitable month.
- Evaluate profit contribution by category and sub-category.
- Examine sales and profit performance across different customer segments.
- Calculate the sales-to-profit ratio to assess overall business efficiency.
- Python
- Pandas
- Plotly
- Jupyter Notebook