March 30, 2026 - Stockful

How to Use ABC Analysis to Prioritize Your Shopify Inventory

Learn how ABC analysis helps Shopify merchants focus on their most profitable products, cut dead stock, and make smarter reorder decisions.

Shopify ABC Analysis Inventory Management

Not every product in your store deserves the same attention. Some SKUs drive the bulk of your revenue. Others sit in storage burning through cash. The trick is knowing which is which, and that is exactly what ABC analysis does.

ABC analysis is one of the simplest, most effective frameworks for prioritizing your inventory. It groups your products into three categories based on their revenue contribution, so you can focus your time, budget, and warehouse space on the items that actually matter.

If you are running a Shopify store with more than a handful of SKUs, this is one of the first things you should set up.

What ABC analysis actually is

ABC analysis is based on the Pareto principle: roughly 80% of your results come from 20% of your inputs. Applied to inventory, it means a small number of your products likely generate the vast majority of your revenue.

The framework splits your catalogue into three groups:

A items are your top performers. They typically make up around 10-20% of your SKUs but account for 70-80% of your total revenue. These are the products you absolutely cannot afford to run out of.

B items sit in the middle. They represent roughly 20-30% of your SKUs and contribute around 15-20% of revenue. They are important but do not require the same level of attention as your A items.

C items are the long tail. They often make up 50% or more of your total SKU count but generate only 5-10% of revenue. Many of these are candidates for reduced stock levels, discontinuation, or clearance.

The exact percentages will vary for every store, but the pattern is remarkably consistent across industries.

Why Shopify merchants should care

Most Shopify merchants reorder stock based on gut feeling or simple low-stock alerts. The problem with this approach is that it treats every product equally. You end up spending as much time and budget restocking a product that sells twice a month as you do on one that sells fifty times a day.

ABC analysis fixes this by giving you a clear framework for where to focus:

Reorder priorities. Your A items should have the tightest reorder points and the most safety stock. Running out of these costs you real money. Your C items, on the other hand, might not need to be reordered at all.

Warehouse layout. If you pick and pack your own orders, your A items should be in the most accessible locations. Every second saved per pick adds up across thousands of orders.

Cash flow management. When cash is tight, you know exactly where to invest. Put your purchasing budget into A items first, B items second, and C items only when you have room.

Supplier negotiations. When you know which products drive 80% of your revenue, you can negotiate harder on those specific supplier relationships. Volume discounts, better payment terms, and priority fulfilment all become easier to justify.

How to run ABC analysis on your Shopify store

You can do this manually in a spreadsheet, though it gets tedious with larger catalogues. Here is the process:

Step 1: Export your sales data. Pull a sales report from Shopify covering the last 6-12 months. You want product-level revenue data, not just unit counts. A product that sells 10 units at $500 each matters more than one that sells 100 units at $2.

Step 2: Sort by revenue. Arrange your products from highest to lowest total revenue for the period.

Step 3: Calculate cumulative percentages. For each product, calculate what percentage of total revenue it represents, then create a running cumulative total.

Step 4: Assign categories. Products in the top 80% of cumulative revenue are A items. The next 15% are B items. The remaining 5% are C items.

Step 5: Review and adjust. The raw numbers are a starting point. Some products might be new and underrepresented in historical data. Others might be seasonal. Use judgement alongside the data.

The manual approach works, but the classification goes stale quickly. Your top sellers from six months ago might not be your top sellers today. Ideally you want this analysis running continuously against live data.

Tools like Stockful automate ABC analysis for Shopify stores, recalculating classifications based on ongoing sales data so the categories stay current without you rebuilding a spreadsheet every month.

What to do with each category

Running the analysis is only useful if you act on it. Here is how to handle each group:

A items: protect at all costs

These are your revenue drivers. Set aggressive reorder points so you never stock out. Monitor sell-through rates weekly. If a supplier for an A item has long lead times, consider holding more safety stock or finding a backup supplier. Every day an A item is out of stock, you are losing meaningful revenue.

B items: monitor and optimise

B items deserve regular attention but not daily monitoring. Review them monthly. Some B items are on their way to becoming A items, and you want to spot that early. Others are slipping toward C territory and may need a pricing adjustment or promotional push.

C items: be ruthless

This is where most merchants leave money on the table. Your C items take up warehouse space, tie up capital, and require the same operational overhead as everything else. Ask yourself: if this product disappeared tomorrow, would anyone notice? If the answer is no, consider discontinuing it, running a clearance sale, or reducing your reorder quantity to the bare minimum.

Some C items exist for strategic reasons, like completing a product line or serving a niche customer segment. That is fine. Just make sure you are keeping them deliberately, not by default.

Common mistakes to avoid

Running the analysis only once. Products shift between categories as demand changes. An analysis from January might be wrong by June. Automate it or schedule regular reviews.

Using units sold instead of revenue. A product that sells 1,000 units at $1 each is not as important as one that sells 50 units at $200 each. Always use revenue as your primary metric.

Ignoring seasonality. If you sell swimwear and winter coats, running a 12-month analysis will smooth out seasonal peaks. Consider running separate analyses for different seasons, or at least accounting for seasonal patterns when you review the results.

Treating the categories as permanent. ABC analysis is a snapshot, not a label. Products should move between categories based on performance. If you tag a product as C and never look at it again, you will miss the ones that start gaining traction.

Start with the data you have

ABC analysis does not require fancy tools or perfect data. You can start with a Shopify sales export and a spreadsheet this afternoon. The key insight, that a small number of products drive most of your revenue, will likely surprise you the first time you see it laid out clearly.

Once you have that visibility, every inventory decision gets sharper: what to reorder, how much safety stock to hold, where to invest, and what to let go.