This project focuses on analyzing sales data from a retail store to identify trends, customer behavior, and performance metrics. The objective is to provide actionable insights for optimizing inventory, sales strategies, and customer engagement.
The retail store faces challenges in inventory management and understanding customer purchasing patterns. The goal is to enhance sales performance and customer satisfaction through data-driven decisions.
- Data Collection: Gathered sales data from various sources.
- Data Cleaning: Ensured data quality by removing duplicates and correcting errors.
- Data Analysis: Utilized statistical methods and visualizations to uncover trends and insights.
- Data Analysis: Excel, SQL
- Visualization: Power BI, Tableau
- Statistical Methods: Correlation, Regression Analysis
- Inventory Optimization: Identified top-selling products and suggested stock level adjustments.
- Customer Insights: Recognized key customer segments and proposed targeted marketing strategies.
- Sales Strategies: Recommended bundling and discount strategies to increase sales.
- Implement automated inventory tracking and sales reporting.
- Develop targeted marketing campaigns based on customer segmentation.
- Conduct regular data analysis to continuously improve business strategies.