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ABC Analysis in Inventory Management: A Guide

Not every product in your warehouse deserves the same attention. A handful of items drive most of your value, while many others barely move the needle. ABC analysis is the technique that tells you which is which—so you spend your control effort where it actually pays off. Here’s how to run it, step by step, and what to do with the results.

Avatar photo Jessica Cuthbert June 23, 2026 5 min read
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ABC Analysis

What Is ABC Analysis?

ABC analysis classifies inventory into three groups based on each item’s contribution to total inventory value. It’s built on the Pareto principle—the 80/20 rule—which observes that roughly 80% of value comes from about 20% of items. By ranking products this way, you focus tight control on the items that matter most and avoid over-managing the ones that don’t.

Why Use ABC Analysis

As one of the core inventory control techniques, ABC analysis helps you allocate limited time, capital, and warehouse attention efficiently. It guides tighter stock control on high-value items, smarter purchasing decisions, more focused cycle counting, and better cash flow and inventory turnover—because you stop over-investing in low-impact stock.

The A, B, and C Categories

  • A items — roughly the top 20% of items driving about 80% of value. Tight control, frequent review, accurate forecasting.
  • B items — the middle tier, around 30% of items and 15% of value. Moderate control and periodic review.
  • C items — the long tail: about 50% of items but only 5% of value. Light control and simple reorder rules.

How to Perform ABC Analysis Step by Step

You can run a basic ABC analysis in a spreadsheet:

  1. List every item with its annual demand (units sold) and unit cost.
  2. Calculate annual usage value for each: annual demand × unit cost.
  3. Sort items from highest to lowest usage value.
  4. Calculate each item’s share of total usage value, then a running cumulative percentage.
  5. Assign categories: items making up the first ~80% of cumulative value are A, the next ~15% are B, and the final ~5% are C.

Worked Example

Suppose 10 products generate $500,000 in annual usage value. The top 2 products account for $400,000 (80%)—those are your A items. The next 3 add $75,000 (15%)—your B items. The remaining 5 contribute just $25,000 (5%)—your C items. You’ve now turned a flat product list into a clear priority map.

How to Manage Each Category Differently

The point of ABC analysis is differentiated action:

  • A items: Maintain accurate safety stock and reorder points, forecast carefully, review weekly, and keep close supplier relationships.
  • B items: Apply standard reorder rules and review monthly. Watch for B items trending toward A.
  • C items: Minimize effort—use simple min-max rules, order in bulk, and count infrequently.

ABC + XYZ Analysis

ABC ranks items by value; XYZ analysis ranks them by demand variability (X = steady, Y = variable, Z = erratic). Combine the two and you get a richer picture: an “AX” item is high-value with predictable demand—ideal for tight, automated control—while an “AZ” item is high-value but unpredictable and needs a larger buffer. This pairing sharpens both purchasing and safety-stock decisions.

Limitations of ABC Analysis

ABC is based mainly on value, so it can overlook items that are low-value but operationally critical (a cheap part that halts production if missing). It’s also a snapshot—categories shift as demand changes—so it needs regular refreshing.

Running ABC Analysis with Your Inventory Data

Running ABC by hand is tedious to repeat because products and sales change constantly. A cloud inventory management system keeps the inputs current: GOIS reporting and analytics includes a top-selling products report that ranks items by sales value and percentage contribution—the exact basis for sorting them into A, B, and C tiers. Refresh the report and re-rank in minutes instead of rebuilding a spreadsheet.

ABC Analysis

Focus where it counts. GOIS ranks your products by sales value and flags low-stock and reorder needs, so you can put tight control on your A-items. Request a demo

Key Takeaways

  • ABC analysis ranks items by their share of total inventory value (the 80/20 rule).
  • A items get tight control; B items moderate; C items light-touch.
  • Combine with XYZ analysis to factor in demand variability.
  • Categories shift over time—refresh them regularly or automate.

Frequently Asked Questions

What percentages define A, B, and C items?

By value, A items are about the top 80%, B the next 15%, and C the final 5%—typically from roughly 20%, 30%, and 50% of items respectively.

How often should I redo ABC analysis?

At least quarterly, or continuously if your software updates it automatically, since sales patterns change.

Can ABC analysis be combined with other methods?

Yes—pairing it with XYZ analysis (demand variability) is common and gives you a more complete control strategy.

Conclusion

ABC analysis is the fastest way to stop treating every product the same and start directing your control effort where it earns the most return. Rank by value, manage each tier differently, layer in XYZ for demand variability, and keep the categories current. Done well, it tightens control on your most important stock while freeing you from over-managing the rest.

Put Your Inventory in Priority Order

GOIS classifies your inventory automatically and applies the right reorder and safety-stock rules to each tier—so you focus where it counts. Trusted by 2,400+ businesses across 20+ countries.

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Jessica Cuthbert GOIS LinkedIn

Jessica Cuthbert is a technology and operations writer specializing in inventory systems and ERP, focusing on solutions like Goods Order Inventory (GOIS) to help businesses streamline processes and adopt data-driven inventory management.

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