Inventory ABC Analyzer
Rank stock by annual consumption value, identify value concentration and build an A/B/C review list.
- 1Add your items
- 2Read the answer as you type
- 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.
Detailed analysis
Exports include all results, regardless of the search filter. The HTML report includes assumptions and source data; use your browser’s Print command for PDF.
Chart shows the first 20 rows; negative values use a warm color. Click table headers to sort.
Compare up to four scenarios
Capture the current inputs, change assumptions and capture again. Scenarios are included in downloaded projects.
What this model includes
Uses entered annual consumption, not sales revenue. Classification includes the item that crosses each threshold; no demand forecasting.
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 ABC Analyzer
Rank stock by annual consumption value, identify value concentration and build an A/B/C review list.
- Replace the example rows with your items, or import a CSV.
- Read which items are class A in the panel beside your table. It updates as you type.
- Adjust the A and B cutoffs if needed, then download the results or a report.
Example
The worked example includes P01, B02, S03, C04. Change the first a cumulative threshold (%) setting and compare the result with a saved baseline.
Questions & answers
What does Inventory ABC Analyzer calculate?
Rank stock by annual consumption value, identify value concentration and build an A/B/C review list.
What are the important limitations?
Uses entered annual consumption, not sales revenue. Classification includes the item that crosses each threshold; no demand forecasting.
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, name, units, cost, stock. 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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