PLAN THE NEXT COUNTS

Inventory Cycle Count Planner

Turn class-based counting frequencies into a dated workload and highlight overdue counts against daily capacity.

Local calculationsEditable projectsCSV & reports
  1. 1List your items
  2. 2Read the answer as you type
  3. 3Download or print it

Loading the worked example…

Assumptions

Results update as you type. Example figures are illustrative.

Your working data

Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.

What this model includes

Schedules one next count per SKU on calendar days; it does not move around holidays or split a count across days.

Import and save safely

CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.

Using Inventory Cycle Count Planner

Turn class-based counting frequencies into a dated workload and highlight overdue counts against daily capacity.

  1. Set the planning date, count intervals and minutes you have per day.
  2. List each item with its class, last count date and minutes to count it.
  3. Read the day-by-day schedule at the top, including anything overdue, then download it.

Example

The worked example includes P01, B02, S03.
Change the first planning date setting and compare the result with a saved baseline.

Questions & answers

What does Inventory Cycle Count Planner calculate?

Turn class-based counting frequencies into a dated workload and highlight overdue counts against daily capacity.

What are the important limitations?

Schedules one next count per SKU on calendar days; it does not move around holidays or split a count across days.

Can I continue my work later?

Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.

What CSV columns do I need?

sku, class, last, minutes. Download Input CSV for a compatible example. CSV imports keep your current assumptions.

Are these example figures current industry benchmarks?

No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.

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