GratisAIbusiness · field guide · local-first · no account
stock cover hourglass

See How Many Days of Stock Cover You Actually Hold — Free

A full warehouse can still hide a product that runs out this week. Divide stock on hand by its own daily usage and compare each product’s cover with the lead time to replace it.

The proof surface

Lead-time boards date known orders. This measures what you already hold: days of cover per product against the lead time you enter, flagging anything that cannot be replaced before it runs out.

Inputproduct | units on hand | average units sold per day; reorder lead time in days
Rare deviceLead-time boards date known orders. This measures what you already hold: days of cover per product against the lead time you enter, flagging anything that cannot be replaced before it runs out.
Output artifactdays of cover per row with transparent workings
Cost$0 · local-first · one free run · samples labelled
Sample, not your facts: Illustrative sample: Widget A | 240 | 30; Widget B | 45 | 12. With reorder lead time in days set to 7, shortest cover is 3.75 days of cover.

Why the flat version breaks

Averaging across products

Fast and slow movers hide each other in one total.

Using list lead times

Optimistic supplier times make every row look safe.

Treating cover as demand forecasting

This describes current stock against recent usage only.

How to work the stock cover hourglass

Use each product’s own usage rate

Enter an average daily figure from recent sales, not a forecast you hope for. Widget A sells thirty a day, so 240 units is eight days of cover.

Enter the lead time you can rely on

Use the supplier’s realistic restock time including order processing. The sample is seven days; cover at or below that means the product will run out before the replacement arrives.

Read the shortest cover first

The summary reports the tightest product because that is where stock-out happens first. Widget B has 3.75 days of cover against a seven-day lead — flagged, and already unfixable without expedite.

Act on the flagged rows

Reorder, expedite or adjust promotions for flagged products. A zero daily usage makes cover undefined, so the tool rejects it rather than pretending stock lasts forever; enter a small real figure for slow movers.

What the stock cover hourglass replaces

QuestionBeforeVisible working
Averaging across productsFast and slow movers hide each other in one total.Enter the lead time you can rely on
Using list lead timesOptimistic supplier times make every row look safe.Read the shortest cover first
Treating cover as demand forecastingThis describes current stock against recent usage only.Act on the flagged rows

A local arithmetic aid replaces hand calculation, not expert review. No paid AI service is needed.

Run it on the samples, right here

FIRST-LOAD

Input is processed locally and a draft is saved automatically in this browser profile when storage is available. Reset to sample clears that draft; Pro history has its own clear button. A state link encodes your inputs in its URL: share only non-sensitive rows. Browser history, clipboard and anyone receiving the link may retain it. Optional AI use below leaves this device; it is not required.

Inventory arithmetic on figures you enter, not demand forecasting, accounting or a stock system. Verify counts and lead times against your own records.

Data note: Everything runs in this browser tab on the stock cover hourglass: your product | units on hand | average units sold per day stays on this device, nothing is uploaded, and the reading is rebuilt only when you press run.

Go deeper: the companion app files the same reading as a plotted bar chart sheet

The article demo above runs without limits. The companion app keeps a local history, exports the rows as CSV, prints the stock cover hourglass reading, and holds your drafts on this device — one free run, then $ 4 one-time for the layer that keeps filing.

The stock cover hourglass reading is complete for free. The optional $4 layer adds print, row CSV and the last five local reading summaries; it does not add hidden answers. Checkout is not configured yet; the article demo remains unlimited.

Open the see how many days of stock cover you actually hold companion

Boundary

Inventory arithmetic on figures you enter, not demand forecasting, accounting or a stock system. Verify counts and lead times against your own records.

What this is built on

Before: Fast and slow movers hide each other in one total. After: the stock cover hourglass shows the working beside each named row so the reader can change the assumption and inspect the consequence.

Optional AI formatting, not calculation

For this stock cover hourglass, use the free AI Studio interface only if available to you, with no paid API key. Manual entry completes the same workflow for free. Supply only fictional or non-sensitive notes. Review its output against the source; never paste unresolved questions into the numeric rows.

Format my non-sensitive notes for a stock cover hourglass. Return plain rows only: product | units on hand | average units sold per day. Preserve supplied quantities exactly. Do not guess missing values; list questions separately. Do not calculate or add advice. I will check every row before pasting into the local tool.

Accepted schema: product | units on hand | average units sold per day. No AI response is executed as code.