Estimate days of cover
- Inputs
- OnHand 90, SoldInWindow 30, window 90 days.
- Output
- Daily sales are 30 / 90; cover is 270 days.
This uses the supplied period sales, not a forecast.
Analyze stock, costs, period sales and last-sale dates from Excel or CSV. Identify idle items, unknown sales dates and estimated days of cover; export results.
Analyze supplied sales history. Last-sale recency is not the physical age of stock.
Synthetic example. XLSX: first worksheet only. Up to 2,000 rows, 64 columns and 5 MB; data stays local.
Headers: SKU, OnHand, UnitCost, SoldInWindow, LastSaleDate (YYYY-MM-DD)
SoldInWindow is total sales in the N days ending on the as-of date. Blank last-sale dates remain Unknown. Zero sales has no finite days-of-cover estimate.
Swipe the table sideways to see all columns.
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Cover = on hand ÷ (sales in window ÷ window days). Review flags include stock with no period sales, old last-sale dates or missing dates. These are candidates to investigate, not automatic write-offs or future-demand predictions.
On this device. The tool does not upload your data or synchronize inventory. Exports contain values only. Scan lists and results are not stored after you leave.
Calculated outputs, printing and exports become unavailable until you rebuild the result, so a stale result is not exported.
Illustrative inputs and outputs to help you check your own task.
This uses the supplied period sales, not a forecast.
A last-sale date does not reveal the physical age of stock.
Try the free Excel sample for product setup, stock balances and pack-rounded reorder suggestions. The full AUD29 kit adds the overview and stocktake, with 200 product rows and 2,000 movement rows.
No email required. The sample is a working file with synthetic data. The full kit is a blank template; applicable taxes are included in AUD29.
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