An Inventory Dashboard in Power BI provides a real-time view of stock levels, product movement, and inventory performance. It helps businesses monitor stock availability, turnover rates, reorder levels, and supply chain efficiency.
This dashboard is essential for retail, manufacturing, and distribution businesses to avoid stockouts, overstocking, and operational delays.
Why Inventory Dashboard is Important
- Tracks current stock levels
- Prevents stock shortages and overstock situations
- Monitors inventory turnover and movement trends
- Improves demand forecasting and supply planning
- Supports better purchasing decisions
Key Inventory Metrics
- Total Inventory Value – Total monetary value of current stock
- Available Stock Quantity – Current units available
- Reorder Level – Minimum stock threshold
- Inventory Turnover Ratio – How often inventory is sold and replaced
- Stock Aging – Duration items remain in inventory
- Out-of-Stock Items – Products with zero availability
Steps to Build an Inventory Dashboard
Step 1: Prepare the Data
Your dataset should include:
- Product ID
- Product Name
- Category
- Stock Quantity
- Unit Cost
- Reorder Level
- Transaction Date (for movement tracking)
Create a proper Date table for time-based analysis.
Step 2: Create DAX Measures
Total Inventory Value
Total Inventory Value =
SUMX(Inventory, Inventory[Stock Quantity] * Inventory[Unit Cost])
Total Stock Quantity
Total Stock Quantity = SUM(Inventory[Stock Quantity])
Out-of-Stock Items
Out of Stock Items =
CALCULATE(
COUNT(Inventory[Product ID]),
Inventory[Stock Quantity] = 0
)
Inventory Turnover Ratio
Inventory Turnover =
DIVIDE([Cost of Goods Sold], AVERAGE(Inventory[Stock Quantity]), 0)
Step 3: Design the Dashboard
- KPI Cards: Total Inventory Value, Total Stock Quantity, Out-of-Stock Items
- Bar Chart: Stock levels by product category
- Column Chart: Inventory turnover by product
- Line Chart: Stock movement trend over time
- Table/Matrix: Detailed product-level inventory summary
Step 4: Add Interactivity
- Use slicers for category, supplier, or date
- Enable drill-through to view product-level transaction details
- Apply conditional formatting to highlight low-stock items
- Use dynamic titles to reflect filter selections
Example Scenario
- Dashboard: Warehouse Inventory Overview
- KPIs: Total Inventory Value, Low Stock Items, Inventory Turnover
- Visuals:
- Bar chart showing stock by category
- Line chart tracking monthly stock movement
- Table listing products below reorder level
Best Practices
- Maintain accurate and regularly updated stock data
- Use conditional formatting to highlight critical inventory levels
- Monitor slow-moving and aging stock
- Schedule automatic refresh for real-time updates
- Keep dashboard layout clean and focused on operational decisions
Conclusion
An Inventory Dashboard in Power BI enables businesses to monitor stock performance, optimize inventory levels, and reduce operational risks. With proper data modeling, DAX measures, and interactive visuals, organizations can improve supply chain efficiency and make data-driven inventory decisions.