What is ABC Analysis?
ABC analysis classifies inventory items into A, B, and C groups by value or importance so management effort can be focused where it matters most.
Definition
ABC analysis is an inventory-segmentation technique based on the Pareto principle, where a small share of items typically accounts for a large share of value. Items are ranked, usually by annual consumption value, and split into A (high value, tightly controlled), B (moderate), and C (low value, loosely controlled) categories. The classification guides decisions about cycle-count frequency, safety-stock levels, review intervals, and supplier management. It allows organizations to apply tight control where the financial stakes are highest and lighter control elsewhere.
How ABC Analysis Works in ERP
ERP systems calculate each item's annual usage value and rank items into ABC classes using configurable thresholds, then store the class code on the item-location record. That class drives downstream policies such as cycle-count frequency, reorder rules, and planning review cycles. Many systems can re-run the classification periodically so items move between classes as demand and pricing change.
ERP Vendors with Strong ABC Analysis
Frequently Asked Questions
What criteria can ABC analysis be based on?
The most common basis is annual consumption value, meaning unit cost multiplied by annual usage. However, items can also be classified by sales revenue, profit contribution, criticality, or order frequency depending on business goals. Some companies run multi-dimensional analyses such as ABC by value combined with XYZ by demand variability.
How does ABC analysis affect inventory policy?
A items typically get the tightest control: frequent cycle counts, careful forecasting, and closely managed reorder points. C items get simpler rules and larger order quantities because the cost of over-ordering is low. This targeted approach concentrates planning effort where it yields the greatest financial return.