How is coverage calculated from inventory turnover?

In calendar days, coverage = 365 / turnover; in working days, the number of working days divided by turnover. At 8.2 turns that is 44.5 calendar days.

What is the difference between α and β service level?

The α service level is the share of demand days without a shortage. The β service level is the share of demanded quantity delivered immediately.

How are dwell time and coverage related?

By Little's law the mean dwell time in storage is roughly equal to coverage. It holds exactly when opening and closing stock are equal.

How do you spot errors in an AI dashboard?

By recalculating linked metrics against each other and checking that every figure has a clear reference. The app shows this with four dashboards containing built-in contradictions.

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Warehouse KPI Check

About this app

A warehouse year day by day: turnover, coverage, dwell time and service level all come from the same stock curve and visibly depend on each other. In check mode, four AI dashboards with built-in contradictions, such as 8.2 turns and 64 days of coverage (365 / 8.2 = 44.5).

With explain mode: an AI tutor walks you through the app, points out what matters in the scene and answers your questions.

How the metrics are linked

Inventory turnover, coverage and dwell time describe the same stock from different angles. Turnover is annual issues divided by average stock. Coverage is average stock divided by average daily issues, in calendar days 365 divided by turnover. By Little's law the mean dwell time in storage is roughly equal to coverage. The α service level counts days without shortage, the β service level the share of demand delivered. Knowing one of these figures lets you recalculate others.

What the app shows

For one item of the fictional distribution centre DL Neckar the app calculates the year 2026 day by day with reorder point, lot size, safety stock and a lead time of five working days. In the default state, turnover is 8.74 per year and coverage 41.8 calendar days. In check mode the app shows four AI-generated dashboards. One states 8.2 turns and 64 days of coverage. These do not fit together: 365 / 8.2 = 44.5 calendar days.

What you can try

Change lot size, safety stock, daily demand and its variation, or drag the safety stock line directly in the chart. All metrics recalculate, and stockout days and service levels show what a smaller buffer costs. In check mode, tap the tiles of a dashboard you consider contradictory or impossible to verify, then check your selection. After the check the app explains each finding.

Frequently asked questions

How is coverage calculated from inventory turnover?: In calendar days, coverage = 365 / turnover; in working days, the number of working days divided by turnover. At 8.2 turns that is 44.5 calendar days.
What is the difference between α and β service level?: The α service level is the share of demand days without a shortage. The β service level is the share of demanded quantity delivered immediately.
How are dwell time and coverage related?: By Little's law the mean dwell time in storage is roughly equal to coverage. It holds exactly when opening and closing stock are equal.
How do you spot errors in an AI dashboard?: By recalculating linked metrics against each other and checking that every figure has a clear reference. The app shows this with four dashboards containing built-in contradictions.

Subject: Warehouse planning with AI

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