Scanning a barcode with a phone
Scan with your phone

Count, move, and find stock with the camera already in your pocket. Works offline, syncs later.

Try the live demo →
Organized stock on shelves
Switching from Sortly?

Bring folders, photos, and history over in an afternoon — with pricing that stays predictable at renewal.

See pricing →
Folder-style inventory list
Free spreadsheet templates

Excel, Google Sheets, and printable count sheets — ready to download, no signup needed.

Get the templates →
Glossary

ABC Analysis

ABC analysis is an inventory prioritization method that sorts every item into three classes — A (high value or importance), B (moderate), and C (low) — so time and controls go where they matter most. Typically the top ~20% of SKUs (class A) account for around 80% of total inventory value.

How ABC analysis works

ABC analysis sorts inventory into three tiers by value and importance. A items are typically the top 20% of SKUs by annual dollar usage — roughly 80% of total inventory value packed into a fifth of the catalog. B items are the next tier, moderate in both count and value. C items are the largest group by count but the smallest slice of value, and usually need the lightest controls. The split is a rule of thumb, not a fixed law — a catalog with a handful of dominant products can be even more top-heavy than 80/20.

How to use ABC analysis

The classification drives how often each tier gets attention: A items are typically counted and reviewed monthly, B items quarterly, and C items annually. The same tiers can also set reorder point review frequency, purchase approval requirements, and how tightly a location is controlled — an A item might need a manager’s sign-off to adjust, where a C item doesn’t.

Classifying by more than revenue

Revenue alone can misclassify a critical item. A $4 bolt that stops an entire production line if it runs out deserves A-tier attention even though its dollar value looks like a C item — classification should factor in operational risk, not just sales dollars.

Worked example: ABC analysis on 500 SKUs

A distributor stocks 500 SKUs worth $975,000 in combined annual dollar usage. Ranking every SKU from highest to lowest annual usage value, the top 100 SKUs — 20% of the catalog — account for $780,000 of that total, exactly 80%. Those 100 become A items and get counted monthly.

The next 150 SKUs (30% of the catalog) add up to $146,250, about 15% of total value, and become B items, counted quarterly. The remaining 250 SKUs (50% of the catalog) account for just $48,750, roughly 5% of value, and become C items, counted once a year. The distributor now spends most of its counting hours on the 20% of SKUs that represent 80% of what’s actually at stake.

Common mistakes with ABC analysis

ABC classification tends to go wrong in the same few ways:

• Classifying purely by revenue and ignoring operational risk — a low-cost part that halts production deserves A-tier treatment regardless of its dollar value.

• Running the classification once and never rerunning it, even as new products launch and old ones decline — an item’s tier should move with its actual usage.

• Applying the same count frequency to every tier "to be safe," which erases the entire point of the exercise: spending less effort on C items.

• Classifying using only sales history, without accounting for lead time or supply risk — a slow-moving item from an unreliable single-source supplier can still warrant closer attention.

How ABC analysis works in StockZip

StockZip doesn’t run ABC classification automatically, but the pieces are there to build one: item-level tags or custom fields can hold an A/B/C label, and the stock count task can be filtered to that tag so A items get counted on a tighter schedule than C items, without a separate workflow for each tier.

Frequently asked questions

What is ABC analysis?

ABC analysis is a method for grouping inventory by importance so teams focus effort where it has the most impact.

What are A items?

A items are the highest-priority inventory items based on value, movement, risk, or operational importance — typically the top 20% of SKUs, representing about 80% of total inventory value.

How often should A items be counted?

Many teams count A items monthly, B items quarterly, and C items annually, adjusting for risk and transaction volume.

What percentage of items are usually A items?

Around 20% of SKUs, though the exact split depends on how concentrated the business’s sales or usage actually is — some catalogs are more top-heavy than others.

How often should B and C items be counted?

B items are commonly counted quarterly and C items annually, though C items with a high stockout cost may still warrant more frequent checks.

Can StockZip help with ABC analysis?

StockZip helps teams track quantities, movements, low-stock alerts, and cycle counts for prioritized items.

Related terms

Count A items more than C items
Tag items by A/B/C class and filter stock counts to that tag, so your highest-value stock gets checked most often. Free for your first 100 items.
Start free →
Free for 100 items
No credit card
Start free