Backorder Rate % Heat Map in Excel
(By Month and Supplier)

Backorders are not just an inventory issue, they create missed installs, rescheduled service calls, idle techs, and frustrated customers. In this lesson, you’ll learn how to track Backorder Rate % over time, spot problem suppliers fast with a heat map, and use a changing target so your team can instantly see what’s above your acceptable threshold.

Download the Excel file used in this tutorial:

Backorder Rate % Heat Map in Excel

1. Confirm the Required Columns

Make sure your dataset includes:

  • Order Date
  • Category
  • Supplier
  • Order Quantity
  • Quantity Shipped

These are the only fields needed to calculate Backorder Rate %.

2. Convert the Data into a Table

  • Click inside the dataset.
  • Press Ctrl + T to convert it into a structured Excel Table.
  • Confirm headers are included.

This allows structured references and dynamic expansion.

3. Create a Month-End Column

To group orders by month:

  • Insert a new column called Month.
  • Use the EOMONTH function to convert each order date into the end of its month.

This allows you to bucket all transactions into January, February, etc.

4. Create a Backorder Quantity Column

Backorder Quantity is calculated at the row level:

  • Insert a new column called Backorder Quantity.
  • Subtract Quantity Shipped from Order Quantity.

Fill the calculation down the table.

5. Create a Unique List of Months

  • Use the UNIQUE function on the Month column.
  • Copy and paste values to remove the formula.
  • Format as a date.

These months will form the rows of your matrix.

6. Create a Unique List of Suppliers Across the Top

  • Use UNIQUE on the Supplier column.
  • Wrap it with SORT to alphabetize.
  • Use TRANSPOSE to move the list horizontally across the top.
  • Paste as values.

Now you have:

  • Months down the left
  • Suppliers across the top

7. Calculate Backorder Rate % by Month and Supplier

To build the matrix:

  • Use SUMIFS to total Backorder Quantity by Month and Supplier.
  • Use SUMIFS again to total Order Quantity by Month and Supplier.
  • Divide the two totals to get Backorder Rate %.
  • Format the result as a percentage using Ctrl + Shift + 5.

Copy and paste across the entire matrix after locking the proper references.

8. Add Overall Backorder Rate % by Supplier

  • Copy the existing logic.
  • Remove the Month condition from both SUMIFS calculations.
  • Format as percentage.

This gives total Backorder Rate % per supplier.

9. Add Overall Backorder Rate % by Month

  • Copy the logic again.
  • Remove the Supplier condition from both SUMIFS calculations.
  • Format as percentage and fill down.

This gives total Backorder Rate % per month.

10. Calculate the Grand Total Backorder Rate %

  • Use the SUM function on the Backorder Quantity column.
  • Divide by the SUM of the Order Quantity column.
  • Format as percentage.

This gives your dataset-wide Backorder Rate %.

11. Create the Target Cell for the Heat Map

  • Add a cell with your desired threshold (example: 4.0%).
  • Format as a percentage.

     

This will serve as your changing target value.

12. Apply Conditional Formatting for the Heat Map

  • Highlight the Backorder Rate % matrix.
  • Use Conditional Formatting → Highlight Cells Rules → Greater Than.
  • Reference the target cell.
  • Choose a red fill format.

Now anything above your target automatically highlights.

13. Format the Target Cell Without Breaking It

If you want the cell to display something like “Target: 4.0%”:

  • Open Format Cells (Ctrl + 1).
  • Use Custom Formatting to add the word “Target” before the percentage format.

This keeps the cell numeric while displaying a clear label.

Backorder Rate % Heat Maps and Inventory KPI Tracking

Q1. What is Backorder Rate % in inventory management?
Backorder Rate % measures how often ordered items are not fully shipped, resulting in backordered quantity. It’s a key inventory KPI because higher backorders often lead to delays, rescheduling, and operational instability.

Q2. Why does Backorder Rate % matter beyond the warehouse?
Because backorders create downstream problems: missed installs, delayed projects, repeat scheduling work, idle technicians, and unhappy customers. Tracking this KPI helps operations teams reduce friction and protect service capacity.

Q3. What will I learn in this video tutorial?
You’ll learn how to organize inventory data into monthly buckets, calculate Backorder Rate % by month and supplier, and build a heat map that highlights where performance is above your target so you can quickly spot inefficiencies.

Q4. Why use a heat map for Backorder Rate %?
A heat map makes issues obvious at a glance. Instead of scanning rows of numbers, you can immediately see which suppliers or months are driving the most backorders and prioritize follow-up or process changes.

Q5. What is a “changing target cell” and why is it useful?
A changing target lets you set a threshold (like 3% or 4%) and automatically highlight any supplier-month results above that level. It makes the dashboard easier to share because users can adjust the target and instantly see what’s out of bounds.

Q6. Do I need a specific dataset to follow along?
It helps. This lesson uses a structured inventory export with common fields (order date, supplier, quantities, etc.). You can download the sample file linked near the video (or request it) to replicate the same view step by step.

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Databoards

Analysis & Development