Use Excel Copilot to Track and Analyze Linen Inventory Trends

Tool:Microsoft Excel
AI Feature:Copilot
Time:15-20 minutes
Difficulty:Beginner

What This Does

Excel's Copilot AI feature can analyze weeks of linen inventory counts to spot trends — like whether towel loss is increasing, whether the laundry vendor is shorting deliveries, or which weeks tend to run low — without you doing any math.

Before You Start

  • You have Microsoft 365 (Excel with Copilot enabled — available on M365 Business or higher plans)
  • You have at least 4-8 weeks of linen count data (or can re-enter past records)
  • You're on a desktop or laptop computer

Steps

1. Enter your linen inventory data

Open Excel and create a table with these columns:

  • Column A: Week of (date)
  • Column B: Bath Towels — Count
  • Column C: Hand Towels — Count
  • Column D: Washcloths — Count
  • Column E: Queen Sheet Sets — Count
  • Column F: King Sheet Sets — Count
  • Column G: Pillowcases — Count
  • Column H: Notes (deliveries received, high occupancy weeks, etc.)

Enter at least 4 weeks of data. If you do weekly counts, this is 4 rows minimum.

2. Format your data as a Table

Click anywhere in your data, then press Ctrl+T (or go to Insert > Table). Make sure "My table has headers" is checked. This helps Copilot understand the structure.

3. Open Copilot

Look for the Copilot button in the Excel ribbon (top toolbar) — it looks like a small robot/sparkle icon. Click it to open the Copilot sidebar on the right.

What you should see: A chat-style panel opens on the right side of the screen.

4. Ask Copilot to analyze your data

Type questions in plain language:

  • "Which linen item shows the most loss over the past 8 weeks?"
  • "Are we receiving less inventory than we're using? What's the weekly shortage trend?"
  • "Which weeks had the lowest bath towel counts? Do they match high occupancy weeks?"
  • "Create a chart showing towel counts over time"

5. Review the analysis and charts

Copilot will respond with analysis text and can insert charts directly into your spreadsheet. Look for patterns it identifies — like "bath towels declined by 12% over 6 weeks" or "3 of the 4 lowest-count weeks were high-occupancy periods."

Troubleshooting: If Copilot isn't available in your Excel version, you can still use Excel's built-in chart feature (Insert > Chart > Line chart) to visually see the trend yourself. Or paste your data into ChatGPT and ask the same questions there.

Real Example

Scenario: You suspect your laundry vendor is shorting deliveries, but you can't prove it without data.

What you enter: 12 weeks of towel counts, with a "Delivered" column showing what the vendor claims to have returned each week.

What you ask Copilot: "Compare the 'Delivered' column to the 'Bath Towels — Count' column. Is there a consistent gap? Is the gap getting larger over time?"

What you get: A trend analysis showing the vendor delivers an average of 94% of reported quantity, with the gap widening in the last 4 weeks — concrete evidence for a vendor conversation.

Tips

  • Enter notes in Column H about unusual weeks (extra-long stay guests, linen damage incident, delivery delay) — this helps explain anomalies in the trend
  • Review this monthly, not just when things are running short — catching a trend early is much less painful than running out of towels on a Friday night
  • Screenshot the Copilot analysis and share with your GM when requesting a vendor conversation — data wins arguments

Tool interfaces change — if a button has moved, look for similar AI/magic/smart options in the same menu area.