Operations Dashboard - Simple Inventory Template

Sheet Names

• Inventory Tracking: Main data entry sheet for all inventory items.
• Dashboards: Summary view with key performance indicators (KPIs), charts, and visual metrics.
• Reorder Alerts: Automatically generates a list of low-stock or out-of-stock items requiring immediate attention.

Table Structures

Inventory Tracking Sheet:

Reorder Alerts Sheet:

Columns and Data Types

Inventory Tracking Sheet:

• Item ID: Text (Unique identifier, e.g., "INV-001")
• Item Name: Text (e.g., "Wireless Mouse", "Office Chair")
• Category: Text or Dropdown List (e.g., Electronics, Furniture, Office Supplies)
• Description: Text (Optional notes or specifications)
• Total Quantity (In Stock): Number (Whole numbers only; e.g., 50)
• Available Quantity: Number (Calculated field showing available stock after pending orders)
• Last Received Date: Date format (e.g., 15/03/2024)

Reorder Alerts Sheet:

• Item ID & Item Name: Text (linked to Inventory Tracking sheet)
• Current Stock Level: Number (from Inventory Tracking sheet)
• Reorder Point: Number (threshold set by user, e.g., 10 units)
• Status: Text (automatically generated status based on comparison with reorder point)

Formulas Required

The following formulas are implemented to automate tracking and reduce manual input errors:

• Available Quantity:
  Formula: `=IF([@Total Quantity (In Stock)] - [@[Pending Orders]] >= 0, [@Total Quantity (In Stock)] - [@[Pending Orders]], 0)`
  This formula subtracts pending orders from total stock to calculate actual available quantity.
• Reorder Alert Status:
  Formula: `=IF([@Current Stock Level] <= [@Reorder Point], "Low Stock", IF([@Current Stock Level] = 0, "Out of Stock", "In Stock"))`
  This dynamically labels inventory status based on thresholds.
• Auto-populate Reorder Point:
  Users can set a default reorder point per category (e.g., 10 for office supplies, 5 for electronics), which feeds into the calculation.
• KPI Calculations (in Dashboards sheet):
  - Total Inventory Value: `=SUMPRODUCT(InventoryTracking[Price per Unit], InventoryTracking[Available Quantity])`
  - Low Stock Items Count: `=COUNTIF(ReorderAlerts[Status], "Low Stock")`
  - Out of Stock Items Count: `=COUNTIF(ReorderAlerts[Status], "Out of Stock")`

Conditional Formatting

To enhance visual clarity and highlight urgent issues:

• Low Stock Status: Red fill with white text for items where stock is below reorder point.
• Out of Stock Status: Dark red background with bold red text.
• Pending Orders Column: Yellow highlight if more than 50% of available stock is reserved.
• KPI Cells (Dashboards): Green for positive trends, amber for neutral, red for warnings.

Instructions for the User

1. Open the template: Download and open the file in Microsoft Excel or a compatible spreadsheet application.
2. Add new items: Enter inventory data into the "Inventory Tracking" sheet. Ensure unique Item IDs are used.
3. Set Reorder Points: Define thresholds for each item category in the "Reorder Alerts" section or use default values.
4. Update stock levels: Modify the "Total Quantity (In Stock)" column as items arrive or are used.
5. Review alerts: Check the "Reorder Alerts" sheet daily for low-stock or out-of-stock items.
6. Analyze trends: Use the dashboard to monitor KPIs, visualize inventory turnover, and identify overstocked items.

Example Rows

Inventory Tracking Sheet (Example):

Reorder Alerts Sheet (Example):

Recommended Charts or Dashboards (in "Dashboards" Sheet)

• Pie Chart: Breakdown of inventory by category (e.g., 45% Electronics, 30% Furniture).
• Bar Chart: Comparison of total stock levels across categories.
• Gauge Meter: Visual indicator for overall inventory health (e.g., "85% Full").
• Line Graph: Trend over time showing inventory changes and reorder frequency.
• KPI Tiles: Display key metrics like Total Items, Low Stock Count, Out of Stock Count with icons.

This simple yet powerful Operations Dashboard turns raw inventory data into actionable insights—helping teams maintain optimal stock levels, reduce waste, and support continuous operational efficiency.