The Supply Chain Analysis project focuses on optimizing the supply chain operations by analyzing product sales, revenue, manufacturing costs, and stockout events. The goal is to provide actionable insights that can help the organization enhance efficiency, reduce costs, and maximize profits. The dashboard provides a comprehensive overview of key metrics, such as most sold products, profits per unit sold, and sales per location.
Efficient supply chain management is critical for maintaining product availability, minimizing costs, and maximizing revenue. This project aims to address the following questions:
- What are the most sold products, and how do they contribute to overall revenue?
- How do manufacturing costs and stockout events impact profitability?
- What are the geographical trends in sales, and how can they inform distribution strategies?
- Data Collection: Collected data on product sales, manufacturing costs, and stock levels from company databases.
- Data Cleaning: Ensured data accuracy by handling missing values, removing duplicates, and standardizing data formats.
- Data Analysis: Analyzed key metrics related to product performance, profitability, and geographic sales distribution.
- Data Visualization: Developed a dashboard to visualize the analysis and provide a clear understanding of supply chain performance.
- Data Analysis: SQL, Excel
- Data Visualization: Power BI, Tableau
- Supply Chain Management: Inventory analysis, cost analysis, sales performance metrics
- Business Intelligence: Strategic planning and optimization
-
Key Findings:
- Most Sold Products: Skincare products lead in sales, followed by haircare and cosmetics.
- Profitability: Skincare products also yield the highest profit per unit sold, indicating a strong market demand and high margin.
- Geographical Trends: The majority of sales are concentrated in Bangalore, suggesting a strong market presence in that location.
-
Business Recommendations:
- Inventory Management: Increase inventory for high-demand products like skincare to prevent stockouts and capture more market share.
- Cost Optimization: Review and optimize manufacturing processes to reduce costs, especially for less profitable product lines.
- Market Expansion: Explore opportunities to expand into other regions with high potential based on the sales data, and develop targeted marketing strategies.
- Detailed Cost Analysis: Perform a deeper analysis of manufacturing and distribution costs to identify potential savings.
- Forecasting: Develop predictive models to forecast future demand and optimize stock levels accordingly.
- Expansion Strategy: Conduct market research to identify new locations for expansion, leveraging existing sales data and market trends.