ABC Inventory Analysis Tool
Classify SKUs into A/B/C by annual usage value — focus control where the 80/20 of your inventory dollars sits.
Annual usage value = annual units × unit value. A-items (~top 80% of value, often ~20% of SKUs) get tight control and high service levels; C-items get simple rules. The summary computes the cumulative split for you.
Sources & references
- Pareto principle / ABC inventory classification
- Multi-criteria inventory classification practice
Inventory formulas use the model and inputs you provide — they are decision aids, not guarantees. EOQ, safety-stock and reorder math rest on assumptions (demand pattern, lead-time stability, cost accuracy) that rarely hold perfectly; treat results as a starting point and adjust to your data, service-level target and risk tolerance.
Not all inventory deserves equal attention, and pretending it does is how teams waste effort counting cheap screws while their expensive components stock out. ABC analysis applies the Pareto principle to inventory: rank every SKU by annual usage value (annual units × unit value), and a familiar pattern emerges — a small fraction of items (the A's) account for the bulk of the dollars, while a long tail (the C's) barely moves the total. This tool does the ranking and the cumulative split automatically as you add SKUs.
About ABC Inventory Analysis Tool
The classic breakdown: A-items are roughly the top 80% of usage value (often just ~20% of SKUs), B-items the next ~15%, C-items the remaining ~5% of value (often the majority of SKU count). The numbers vary by business, but the management implication is constant: A-items earn tight control — frequent review, accurate forecasts, high service levels, close supplier relationships — because every percent of improvement there moves real money. C-items earn simple, cheap rules (bulk orders, generous safety stock, occasional review) because optimizing them costs more attention than it saves. This is the lens that makes every other inventory tool pay off. Don't set a 99% service level across all SKUs — set it for A-items and accept 90% for C-items (the safety-stock calculator shows why the difference is so cheap). Don't cycle-count everything monthly — count A's often, C's rarely. ABC turns finite control effort into its highest-value deployment. Add your SKUs, read the split, and let it tell you where to spend your attention; the 80/20 is usually starker than people expect, which is exactly the point.
How to use ABC Inventory Analysis Tool
- 1Fill in the form and add your first record — everything persists locally in your browser.
- 2Watch the summary strip recompute totals and averages as records accumulate.
- 3Sort out stale entries with one-click delete; the data survives page reloads.
- 4Export the CSV any time for reporting or to move the log into a spreadsheet.
Why use ABC Inventory Analysis Tool?
- ✓Purpose-built fields for this exact workflow — no spreadsheet setup
- ✓Live summary statistics computed from your records
- ✓One-click CSV export for reporting
- ✓Everything stays on your device — nothing is uploaded
Frequently asked questions
How does ABC analysis classify items?+
By annual usage value (annual demand × unit cost), ranked high to low, then split by cumulative share: A-items make up roughly the top 80% of total value, B-items the next ~15%, C-items the final ~5%. The thresholds are conventions you can adjust. The striking part is the SKU-count inversion: A-items are often only ~20% of your SKUs but ~80% of the value, while C-items are the majority of SKUs but a sliver of the dollars.
What do I do differently for A, B and C items?+
A-items: tight control — frequent review, accurate forecasting, high service levels, close supplier management, frequent cycle counts. They drive your inventory investment, so precision pays. B-items: moderate, periodic control. C-items: minimize effort — larger order quantities, generous safety stock (it's cheap), infrequent review, simple rules. The goal is to spend control effort where dollars are, not to treat a $0.10 washer like a $400 component.
Should ABC use value or volume?+
Annual usage VALUE (units × cost), not raw volume — a high-volume cheap item can be a C, a low-volume expensive item an A. That said, single-criterion ABC has blind spots: a cheap C-item that's critical (a stockout halts production) deserves A-level attention despite low dollar value. Many operations run multi-criteria ABC (value + criticality + lead-time risk) for exactly this reason. Start with value, then override for criticality where it matters.
How often should I redo ABC analysis?+
Periodically — quarterly or semi-annually for most businesses, because items migrate between classes as demand and prices shift (a new product climbs to A, a declining one slides to C). Big assortment or pricing changes warrant a refresh too. An ABC classification from two years ago is misallocating your control effort against today's reality. Re-rank, re-assign service levels and counting frequencies, and your attention stays pointed at the current high-value items.
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Want ABC Inventory Analysis Toolon your own site? Paste this snippet into any HTML page — it's free, with no API key or sign-up. The tool loads in an iframe and keeps working exactly as it does here.
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