ABC Analysis Calculator

Classify inventory into A, B, and C categories based on annual value using Pareto analysis to prioritize stock management efforts.

$
units
$
SKUs
%
Class A
High priority - tight cycle counts, safety stock, frequent review
Top 10% of inventory value
Annual Consumption Value
$100,000.00
Unit cost multiplied by annual usage volume
Value Share
11.76%
This SKU represents 11.76% of total inventory value
ABC Classification
Class A
Threshold: A >= 5%, B >= 1%
Annual Carrying Cost
$25,000.00
25% of annual consumption value
Avg Monthly Inventory
$8,333.33
Annual value divided by 12 months
Inventory Turnover
8.5x
How many times inventory cycles per year
Days of Supply
43 days
Average days of stock on hand
Avg Value per SKU
$1,700.00
Total inventory value divided by SKU count

Value Distribution (Pareto)

Class A
80% value
10% SKUs
Class B
15% value
20% SKUs
Class C
5% value
70% SKUs
ClassSKU Count% of SKUsValue ShareEst. Value
A50~10%~80%$680,000.00
B100~20%~15%$127,500.00
C350~70%~5%$42,500.00
Total500100%100%$850,000.00
ClassReview FrequencySafety StockOrder Strategy
AWeekly / ContinuousHigh bufferJIT, frequent small orders
BBi-weekly / MonthlyModerate bufferEOQ-based, periodic review
CQuarterlyMinimalBulk orders, simplified controls
Planning notes, formulas, and examples

About the ABC Analysis Calculator

ABC analysis is an inventory categorization technique based on the Pareto principle (80/20 rule). Items are ranked by their annual consumption value — unit cost multiplied by annual usage — and then classified into three groups: A-items represent the top 80% of total value (typically 15-20% of SKUs), B-items the next 15% of value, and C-items the remaining 5%.

This classification drives differentiated management strategies. A-items receive tighter controls, more frequent reviews, and higher service levels. C-items use simpler processes with less oversight. The result is a focused allocation of management resources where they matter most.

This calculator lets you enter data for individual SKUs — unit cost and annual usage — and computes each item's annual value, cumulative percentage, and ABC classification.

Use the result to compare operating scenarios, pressure-test assumptions, and rerun the model when volumes, rates, or service targets change.

When This Page Helps

Treating all inventory items the same wastes resources. ABC analysis reveals which small group of SKUs drives most of your inventory value, enabling you to focus replenishment accuracy, counting frequency, and service level attention on the items that matter most. Companies using ABC-based policies typically reduce carrying costs while improving fill rates on critical items.

How to Use the Inputs

  1. Enter the unit cost for the SKU.
  2. Enter the annual usage (units consumed or sold per year).
  3. Review the computed annual value.
  4. Add additional SKUs to build a portfolio view.
  5. Check the ABC classification assigned to each item.
  6. Use the cumulative value percentage to verify the 80/15/5 split.
  7. Apply differentiated policies based on each item's class.
Formula used
Annual Value = Unit Cost × Annual Usage Classification thresholds (standard): A-items: Top 80% of cumulative value B-items: Next 15% (80-95%) C-items: Remaining 5% (95-100%) For a single SKU, enter its value share (%) to determine class.

Example Calculation

Result: Annual Value = $100,000 — Class A

Annual value = $25 × 4,000 = $100,000. If this item accounts for 12% of total inventory value and falls within the top 80% cumulative band, it is classified as an A-item — high value, high priority.

Tips & Best Practices

  • Run ABC analysis at least annually, or quarterly if your product mix changes frequently.
  • Use unit cost × annual demand (not on-hand quantity) as the ranking metric.
  • Set A-item service levels at 97-99%, B-items at 93-95%, and C-items at 85-90%.
  • Count A-items monthly, B-items quarterly, and C-items annually.
  • Combine with XYZ analysis for a more nuanced inventory strategy.
  • Watch for items migrating between classes — a new product can quickly become an A-item.
  • Consider revenue impact, margin, and criticality alongside pure value ranking.

The Pareto Principle in Inventory

Vilfredo Pareto observed in 1896 that approximately 80% of wealth was held by 20% of the population. This imbalance appears across many domains. In inventory, a small fraction of SKUs typically accounts for the vast majority of annual spend. ABC analysis formalizes this observation into an actionable management framework.

Setting Up an ABC Analysis

To run a full ABC analysis, export all SKUs with their unit cost and annual usage. Calculate annual value for each, sort descending, compute cumulative value percentages, and apply the 80/15/5 thresholds. Most ERP systems have built-in ABC reporting.

Differentiated Policies by Class

A-items: weekly review cycles, detailed demand forecasts, negotiated contracts with strategic suppliers, safety stock driven by Z-score analysis. B-items: biweekly or monthly reviews, standard forecasts, safety stock set by simple rules. C-items: quarterly or annual reviews, min/max replenishment, higher order quantities to reduce transaction frequency.

Beyond Value: Multi-Criteria ABC

Some organizations extend ABC to include lead time risk, criticality (VED analysis), or margin contribution. Weighted scoring models combine multiple factors into a composite rank, providing a richer classification than value alone.

Sources & Methodology

Last updated:

Frequently Asked Questions

  • ABC analysis ranks inventory items by their annual consumption value and groups them into three classes — A (highest value), B (moderate), and C (lowest). It applies the Pareto principle to focus management effort on the most impactful items.