Task 1 · typically 120 min, once a week
Update forecasts and supply plans in spreadsheets
Have AI review the forecast and flag what looks wrong
Upload the usage history and forecast; AI spots trends, seasonality and outliers, and suggests reorder quantities. You make the call faster.
- 1Export 12 to 24 months of usage, current stock, open orders and lead times.
- 2Use Copilot in Excel, Gemini in Sheets, or upload to an approved AI assistant.
- 3Use the prompt below.
- 4Check its suggestions on a few items you know well before trusting the rest.
Here is monthly usage, current stock, open orders and lead times for [NUMBER] items. For each item: 1) flag a trend, seasonality or unusual spike, 2) say whether we will run out before the next delivery, 3) suggest a reorder quantity with the reasoning. Show the calculation. List the ten items most at risk first.
Tools: Copilot in Excel · Gemini in Google Sheets · ChatGPT, Claude, Gemini or Microsoft Copilot
One more way to fix itHide the other fixes
Build the report once so it refreshes itself
Connect the spreadsheet or dashboard straight to the source so next week's report is already done.
- 1List where each number comes from.
- 2Use Power Query (Excel), a connected sheet, or a Google Data Studio or Power BI dashboard pulling from the source.
- 3Schedule the refresh and send the link instead of an attachment.
Tools: Excel Power Query · Power BI · Google Data Studio (formerly Looker Studio) · Google Sheets connectors