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A comprehensive Power BI dashboard built for a garment manufacturer to optimize inventory and pricing strategy by analyzing sales orders, returns, and product profitability
The Business Problem & Goal
The client, a prominent garment manufacturer (Urban Wear), required a clear, interactive solution to address profit erosion caused by high return rates and a lack of granular visibility into product performance. The goal was to consolidate sales, orders, and returns data to provide management with actionable insights to optimize inventory, reduce returns, and improve product mix profitability.
Analytical Process & Data Modeling
To achieve accurate profitability analysis, a robust Star Schema data model was engineered, connecting various Dimension and Fact tables.
Analytical Process & Data Modeling
To achieve accurate profitability analysis, a robust Star Schema data model was engineered, connecting various Dimension and Fact tables.
Power Query & Data Cleaning
Power Query & Data Cleaning
- Power Query was utilized to perform critical ETL (Extract, Transform, Load) operations.
- Key steps included Merging the Orders table with the Returns table using a unique key to calculate accurate net profit.
- Data types were standardized and data quality issues were resolved across all source tables.
Advanced DAX Measures
Advanced DAX Measures
- DAX (Data Analysis Expressions) was used to build advanced, reliable Key Performance Indicators (KPIs).
- Essential measures include: Profit Margin %, Return Rate %, and Total COGS (Cost of Goods Sold).
- A Custom Date Table was implemented to facilitate precise time-intelligence analysis (Year-over-Year, Month-over-Month).
The Interactive Solution (Full Dashboard Demo)
The Interactive Solution (Full Dashboard Demo)
Orders Dashboard Summary
Orders Dashboard Summary
Orders Deep Dive Summary
Orders Deep Dive Summary
Products Dashboard Summary
Products Dashboard Summary
Products Deep Dive
Products Deep Dive
Key Insights & Findings
Key Insights & Findings
High-Risk Returns: The analysis identified that Jackets and Pants have the highest return rate, spiking in Q4 2021. This indicates potential quality or sizing inconsistencies that require immediate attention.
Profit Erosion: Despite high sales volume, the Profit Margin experienced sharp declines in specific periods. This suggests that high operating costs or heavy discounting are eroding profitability over time.
Channel Optimization: The breakdown of orders by retailer channel showed an uneven distribution of profitable activity. The management can now strategically re-focus resources on the highest-performing channels (Small Chain) to maximize ROI.
Business Impact & Conclusion
This comprehensive Power BI solution transformed fragmented sales and returns data into a strategic asset. The actionable insights regarding high-risk returns enabled the client to immediately investigate sizing consistency in key product lines (Jackets and Pants). The visibility into profit erosion during specific quarters empowered the team to re-evaluate pricing and discount strategies, ensuring that sales volumes translate directly into sustainable profit growth for the 'Urban Wear' brand."
Business Impact & Conclusion
This comprehensive Power BI solution transformed fragmented sales and returns data into a strategic asset. The actionable insights regarding high-risk returns enabled the client to immediately investigate sizing consistency in key product lines (Jackets and Pants). The visibility into profit erosion during specific quarters empowered the team to re-evaluate pricing and discount strategies, ensuring that sales volumes translate directly into sustainable profit growth for the 'Urban Wear' brand."
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