An interactive Power BI dashboard analyzing automotive sales data, including vehicle types, pricing trends, dealer performance, customer preferences, and inventory turnover rates for data-driven dealership management.
- Sales by make (Toyota, Honda, Ford, BMW, etc.)
- Sales by model and year
- New vs used vehicle performance
- Body type analysis (Sedan, SUV, Truck, Coupe)
- Color preference trends
- Average selling price by make/model
- Price distribution analysis
- MSRP vs selling price comparison
- Discount and incentive analysis
- Profit margin tracking
- Price trends over time
- Sales by dealer/location
- Revenue contribution by dealer
- Units sold per dealer
- Top performing dealerships
- Regional dealer analysis
- Dealer profitability metrics
- Age group analysis
- Gender distribution
- Income level segmentation
- First-time vs repeat buyers
- Financing vs cash purchases
- Trade-in analysis
- Days in inventory
- Stock levels by model
- Fast-moving vs slow-moving vehicles
- Inventory aging analysis
- Turnover ratio calculation
- Stock-to-sales ratio
- Historical sales trends
- Seasonal patterns
- Predictive sales modeling
- Target vs actual comparison
- Growth projections
- Tool: Microsoft Power BI Desktop
- Data Source: Dealership Management System / SQL / Excel
- Data Transformation: Power Query
- Calculations: DAX measures and calculated columns
- Visualization: Interactive charts, maps, KPIs
- Executive Summary - Key metrics and overall performance
- Sales Analysis - Detailed sales breakdown by various dimensions
- Vehicle Performance - Make, model, and type analysis
- Pricing Insights - Pricing trends and profitability
- Dealer Performance - Dealership comparison and ranking
- Customer Analysis - Demographics and buying behavior
- Inventory Management - Stock levels and turnover
| Metric | Description |
|---|---|
| Total Units Sold | Number of vehicles sold |
| Total Revenue | Overall sales revenue |
| Average Selling Price | Revenue per vehicle |
| Profit Margin % | Percentage profit on sales |
| Days to Sale | Average time from listing to sale |
| Inventory Levels | Current stock count |
| Turnover Rate | Inventory turnover ratio |
| Customer Satisfaction | Average customer rating/NPS |
| Test Drive Conversion | Test drives to sales ratio |
- Bar Charts: Sales by make/model, dealer comparison
- Line Charts: Price trends, monthly sales patterns
- Pie/Donut Charts: Vehicle type distribution, customer segments
- Map Visualization: Geographic sales distribution
- KPI Cards: Key performance indicators
- Tables: Detailed vehicle inventory and sales data
- Scatter Plots: Price vs days to sale correlation
- Waterfall Chart: Price breakdown and discounts
- Gauge Charts: Target achievement tracking
- Identify Best Sellers: Focus inventory on high-demand models
- Seasonal Trends: Prepare for peak buying seasons
- Pricing Optimization: Adjust prices based on market demand
- Dealer Training: Support underperforming locations
- Stock Optimization: Reduce slow-moving inventory
- Reorder Planning: Based on turnover rates
- Color/Feature Trends: Stock popular options
- Age Analysis: Discount aging inventory
- Demographic Focus: Target high-value segments
- Financing Offers: Tailor to customer profiles
- Marketing Campaigns: Based on preferences
- Loyalty Programs: Encourage repeat business
- Days to Sale: Reduce time on lot
- Profit Margins: Improve through better negotiation
- Test Drive ROI: Optimize conversion
- Trade-In Strategy: Maximize trade-in value
Typical automotive sales patterns:
- 🚙 SUVs account for 45% of sales
- 💰 Average selling price: $35,000
- 📅 Average days to sale: 45 days
- 🏆 Toyota and Honda top sellers
- 📊 December highest sales month
- 👥 35-54 age group largest buyers
- 💳 70% buyers use financing
- 🔄 Inventory turnover: 6-8 times/year
- Download the
.pbixfile - Open in Power BI Desktop
- Refresh data if connected to live database
- Use filters for:
- Date range
- Make/model
- Dealer location
- Price range
- Customer segment
- Interact with visualizations for drill-down analysis
- Export or publish to share with team
- Modern automotive industry aesthetic
- Brand color consistency
- Clear navigation structure
- Mobile-responsive design
- Interactive drill-through pages
- Custom tooltips
- Bookmarks for quick views
- Professional layout
- Real-time DMS integration
- Predictive analytics for demand forecasting
- Customer sentiment analysis from reviews
- Service department integration
- Parts sales correlation
- Competitive market analysis
- Online lead tracking
- Social media campaign ROI
- Warranty claim analysis
- Vehicle history reports
- Microsoft Power BI Desktop (latest version)
- Access to dealership data
- Basic Power BI knowledge
Suggestions for improvements are welcome! Feel free to open issues or submit pull requests.
This project is available for educational and portfolio purposes.
Muhammad Usman Khan
- GitHub: @MuhammadUsman-Khan
- LinkedIn: muhammad-usman-khan00
- Email: m.usman.khan.stu@gmail.com
🚗 Drive Sales with Data • 📊 Dealership Intelligence • 🚀 Powered by Power BI