Start with a clean table to record historical sales data:
| Date | Product Name | Category | Units Sold | Unit Price ($) | Revenue ($) |
|------------|--------------|----------|------------|----------------|-------------|
| 01/01/2025 | T-Shirt | Apparel | 50 | 20 | 1000 |
| 01/02/2025 | Mug | Kitchen | 30 | 10 | 300 |
=FORECAST.LINEAR(Future Date, Sales Range, Date Range)
Example: If you have monthly sales data, use it to predict the next month's units sold.
Moving Average:
Smooth out sales fluctuations with a moving average:
=AVERAGE(B2:B4)
(use the last 3 rows for each new month). Growth Rate-Based Forecasting:
=Previous Sales * (1 + Growth Rate)
Go to Insert > Line Chart for a clear visualization of trends.
Add Forecast Data:
Set up a table for inventory:
| Product Name | Starting Stock | Units Sold | Ending Stock | Reorder Level | Status |
|--------------|----------------|------------|--------------|---------------|---------------|
| T-Shirt | 100 | 50 | =B2-C2 | 20 | In Stock |
| Mug | 50 | 30 | =B3-C3 | 10 | Reorder |
Calculate the remaining stock:
=Starting Stock - Units Sold
.
Reorder Alerts:
Formula for dynamic updates:
=SUMIFS(Sales Units Column, Product Name Column, "Product X")
.
Restock Notifications:
=IF(Ending Stock <= Reorder Level, "Reorder", "In Stock")
. Use sales forecasting (e.g., FORECAST.LINEAR
) to predict units sold for each product.
Estimate Future Stock:
Add a column for future stock:
=Current Stock - Forecasted Sales
.
Highlight Risks:
=SUM(Forecasted Sales Column)
. =SUM(Ending Stock Column)
. Products Below Reorder Level: Use a count formula:
=COUNTIF(Status Column, "Reorder")
.
Charts:
Calculate reorder levels based on average sales and lead time:
=AVERAGE(Sales Units Column) * Lead Time
.
Back Up Regularly:
Save your files to cloud storage (e.g., OneDrive or Google Drive) for easy recovery.
Review and Adjust:
Regularly update sales forecasts based on seasonal trends or market changes.
Integrate with Software: