Your warehouse has a secret.
Twenty percent of what you stock probably generates eighty percent of your revenue. Maybe it's even more lopsided than that.
But you're counting everything like it all matters the same.
That's the thing about inventory. It whispers lies about equality. Every SKU gets a bin location. Every item gets scanned. Every part shows up on the same spreadsheet.
But some matter infinitely more than others.
The pump bearing that keeps your biggest customer's production line running? That matters. The box of binder clips in receiving? Not so much.
ABC analysis is simply this: giving your attention to the things that deserve it.
Not a trick. Not a shortcut. Just clear thinking about where to look.
When you classify your inventory into A items (high value, low volume), B items (the middle ground), and C items (low value, high volume), you create a map of what actually matters.
Count your A items weekly. Maybe even daily.
Count your B items monthly.
Count your C items quarterly. Or when you remember. Or when you have interns.
Simple, right?
Except most implementations fail. Not because the idea is flawed, but because the requirements get ignored.
Before you classify anything, you need to decide what you're measuring.
Annual dollar usage is the usual answer. Take the cost of the item, multiply by annual consumption. The hydraulic cylinder you use fifty times a year at $800 each? That's $40,000 of annual value. The screws you use ten thousand times at $0.12? That's $1,200.
Easy math. But incomplete.
Because value isn't always about dollars out the door.
Workflow: A mid-sized electronics distributor starts with pure dollar usage. But then they overlay a second filter. Does a stockout stop a customer's production line? Those items get promoted to A status regardless of dollar value. The $45 relay that prevents a $50,000 per hour shutdown? That's an A item now.
Example: A machine shop stocks custom cutting tools for their three largest customers. Dollar usage says they're B items. But losing one means a customer goes to a competitor. So they reclassify them as A items. They count them twice weekly. They've never had a stockout since.
Your business has its own definition of value. Find it before you classify anything.
Your business is unique — your software should be too. Let's talk about a system built around how you actually work.
Get a free quoteWhere does A end and B begin?
The textbook says A items should be the top twenty percent that represent eighty percent of value. B items are the next thirty percent representing fifteen percent of value. C items are the remaining fifty percent representing five percent of value.
That's a starting point, not a religion.
Your lines need to make operational sense. If you have twelve people doing cycle counts, and grouping the top fifteen percent as A items gives each person a manageable weekly workload, then fifteen percent is your line.
Workflow: A food ingredients distributor exports their full inventory to a spreadsheet. They sort by annual dollar usage, high to low. They calculate cumulative percentage of total value. They experiment with different cutoff points until they find groupings that match their staffing and space constraints. They end up with 12% A items, 25% B items, 63% C items. It works for them.
Example: A fastener manufacturer has 8,000 SKUs. Pure math would give them 1,600 A items. But they only have capacity to count 400 items weekly. So they draw the A line at the top 5%, which captures 75% of their value. They count those 400 items every week without fail. Their accuracy on those items goes from 78% to 97% in six months.
The right answer is the one you can actually execute.
Your ERP system knows which items are A, B, or C.
But does the person counting know?
If your warehouse team needs to log into three screens and run a custom report to see item classifications, they won't. They'll just count whatever's in front of them.
Workflow: A chemical distributor adds ABC classification to their bin labels. A simple colored dot. Red for A, yellow for B, blue for C. Every person in the warehouse can see at a glance what they're looking at. When they're counting, they know which discrepancies to escalate immediately versus which ones can wait.
Example: A automotive parts warehouse programs their handheld scanners to display ABC status on the count screen. When someone scans an A item, the screen shows "CLASS A COUNT CAREFULLY" in bold. They also set the system to require a second person to verify any A item count that differs from the system by more than one unit. Their A item accuracy improves within weeks.
Classification only works if the people doing the work can see it.
Here's where most implementations get lazy.
They classify the inventory. Then they keep doing everything exactly the same way they always did.
ABC analysis isn't about labeling. It's about differential treatment.
Your A items deserve tighter controls, more frequent attention, better locations, and immediate investigation when something's wrong.
Your C items deserve speed and efficiency, not precision.
Workflow: A pharmaceutical distributor creates different count schedules by class. A items: weekly counts plus instant investigation of any variance over 2%. B items: monthly counts with same day investigation of variances over 5%. C items: quarterly counts with weekly investigation of variances over 10%. They staff accordingly. The warehouse manager focuses Monday mornings on A item variances. Everything else gets handled by leads.
Example: A steel service center moves all A items to the most accessible racks near receiving and shipping. They install cameras on those aisles. They require two person picks for A items over a certain weight. They accept single person picks and wider variance thresholds for C items. The result? Their carrying costs on A items drop by 23% because turns improve, while their overall labor costs stay flat because they stop overmanaging the C items.
Different matters differently.
What was an A item last year might be a C item this year.
Customer needs change. Products mature. Markets shift.
If you classified your inventory two years ago and haven't looked since, you're managing yesterday's business.
Workflow: A packaging distributor reviews ABC classifications quarterly. They pull a report of items that have moved up or down significantly in usage. They also flag new items that have ramped faster than expected. The classification team meets, reviews the data, and updates assignments. They communicate changes to the warehouse team with context. "We're upgrading adhesive SKU 4471 to an A item because the medical device customer doubled their orders."
Example: An industrial supply company automates reclassification. Their system recalculates ABC status monthly based on rolling twelve month usage. Items don't change class unless they stay in the new tier for two consecutive months, which prevents whipsaw from one time orders. When an item changes class, the system generates an email to the warehouse supervisor and automatically updates bin labels in the print queue.
Your classification should be as dynamic as your business.
Your team can follow procedures without understanding them.
But they won't improve procedures they don't understand.
When someone knows that A items represent the majority of company revenue, they count differently. When they understand that being accurate on C items just doesn't move the needle, they stop wasting energy on precision that doesn't matter.
Workflow: A building materials distributor starts every quarterly warehouse meeting with ABC refresher training. They show actual examples from their business. "This concrete anchor is a C item. We use 50,000 a year, but each one costs six cents. Being off by a hundred units costs us six dollars. This rebar coupler is an A item. We use 2,000 a year at $80 each. Being off by ten units costs us eight hundred dollars. Where should we focus?"
Example: A electronics manufacturer creates a simple one page guide for new warehouse hires. It shows the ABC breakdown of their inventory with real pictures of items from each category. It explains count frequencies and variance thresholds. Most importantly, it shows the financial impact. "Our A items are 15% of SKUs but 78% of annual revenue. Your accuracy on these items directly affects whether we can fulfill customer orders on time."
People who understand the game play it better.
You have a limited amount of it.
Your team has a limited amount of it.
Your systems have a limited amount of it.
ABC analysis is just a formal way of admitting what you already know: not everything deserves the same attention.
The pump bearing matters more than the binder clips.
So count it more often. Put it in a better spot. Watch it more closely. Investigate discrepancies immediately.
And stop pretending that precision on the binder clips is moving your business forward.
Because where you look matters more than how hard you look.
And knowing the difference is the whole point.
Your business is unique, but your software is off the shelf? Ditch the workarounds and let's build your ERP systems to fit your teams.