Leaving Stocky is a starting point, not the end of the work. If you are a Shopify merchant, operations manager, or founder who relied on Stocky to judge what was selling and what was sitting, you now need to do that reading inside the Shopify admin itself. One of the clearest tools for that is the products by sell-through rate report. It uses past sales to show, as a single percentage, how much of the stock you had during a selected window actually moved. That is a backward look at performance, not demand forecasting, and this guide treats it strictly that way.
What sell-through rate is
Stocky will not be available after August 31, 2026, and it was removed from the Shopify App Store on February 2, 2026, so merchants now handle inventory tasks such as restocking and purchase orders in the Shopify admin (see Shopify’s transitioning from Stocky page, and the broader migration checklist for context).
In the admin, the products by sell-through rate report shows what percentage of your total inventory you sold during a selected time period. Read that sentence twice, because it sets the boundary for everything below. Sell-through is one number per product (or per variant) that compares how much sold against how much you had on hand, so it answers a narrow question quickly: across this window, was this product moving or sitting?
Because it summarizes a past window, it tells you what already happened. It is not a projection of what will happen next, and it does not tell you what to order. If you want the wider picture of how this metric fits with the rest of post-Stocky inventory work, the replenishment hub ties the different reports together.
The sell-through rate formula
Shopify calculates sell-through rate as the total quantity of items sold divided by the total quantity of items sold plus the total quantity of items still in inventory. Written out:
sell-through rate = items sold / (items sold + items still in inventory)
The numerator is what moved out the door during the selected period. The denominator is what moved out plus what is left on the shelf at the end. The result is the share of the available stock that sold. If everything sold and nothing was left, the rate would be 100 percent. If nothing sold and the stock was untouched, it would be 0 percent.
A quick worked example with round units: suppose during a chosen window you sold 30 units of a product and at the end you still had 70 units in inventory. The rate is 30 divided by (30 + 70), which is 30 divided by 100, or 30 percent. Take a second product where you sold 80 units in the same window and had 20 left. That rate is 80 divided by (80 + 20), or 80 percent. The second product moved a much larger share of what was available. No prices are involved in the calculation; this is purely a units-based share of stock.
Sell-through uses the selected time period
The sell-through rate report is calculated over a time period you select. That is a meaningful contrast with the ABC product analysis grade, which is based on a fixed last 28 days. With sell-through, you choose the window. You might look at the last week to see what is moving right now, the last quarter to read seasonal performance, or a custom range that lines up with a promotion you ran.
Because the window is variable, the same product can produce different sell-through rates over different periods. A swimwear item might show a high rate across summer months and a low one over a fall window of the same length. Neither number is wrong; they answer different questions. Pick the window that matches the question you are asking, and be honest with yourself about what that window includes (a promo, a stockout, an unusually quiet stretch).
This is also why sell-through and the ABC grade are not interchangeable. The ABC product analysis grade always reads the last 28 days, while sell-through reads whatever range you set. Use them side by side; do not assume they describe the same time frame.
How to read sell-through rate after Stocky
A high sell-through rate means most of what you had on hand during the window moved. A low rate means a lot of it is still sitting. That is the entire interpretation at a basic level, and it is enough to spot fast movers and slow movers across your catalog.
What counts as “high” or “low” depends on context. A 40 percent rate over one week is very different from 40 percent over a quarter. A product you restock frequently in small batches will read differently from one you buy in a single seasonal order. Categories differ, too: a staple basic and a fashion item will not behave the same way, and they should not be judged against the same threshold. Read the number against the product, the window length, and your restocking pattern, not against a single universal cutoff.
It is also worth saying out loud what this number does and does not describe. It describes what already happened across the period you chose. It helps you see which items earned their shelf space in that window and which did not. It does not tell you why, and it does not tell you what comes next.
What sell-through rate does not tell you
This is the section to keep honest. Sell-through is a past-period share-of-stock measure, and several common assumptions go beyond what it actually says.
It is not demand forecasting. It does not predict future sales, and it does not predict how quickly stock will move in the next window. It only summarizes the window you chose.
It does not tell you how many units to reorder. The number is a percentage of what you had, not an order quantity. Treating a sell-through reading as a reorder instruction skips over everything that actually drives an order size: how long suppliers take, how much you want to hold, what is coming up on the calendar.
It does not explain why something sold or sat. Price changes, promotions, seasonality, marketing activity, and supplier lead times all influence what moves, and none of them appear inside the metric. Two products with identical sell-through rates can have very different reasons behind those numbers.
A high rate is not automatically good news. If you ran out partway through the window, sell-through can look strong because the denominator (sold plus still in inventory) is small, while the truth is that you were short on stock and turned away demand you could not measure here. Read a high number with that possibility in mind.
Combine sell-through with ABC and days remaining
Sell-through is most useful next to the other inventory reports rather than on its own. Each report answers a different question, and together they give you a fuller read on what is moving and what to do about it.
Pair sell-through with ABC product analysis to see which fast movers also carry the most revenue weight. A product can have a high sell-through rate but contribute a small share of revenue, or a moderate rate while sitting near the top of your revenue list. Knowing both tells you where to focus attention.
Pair it with days of inventory remaining to estimate how long current stock will last at recent sales rates. Sell-through tells you the share that moved across a past window; days remaining gives you a runway estimate based on recent sales. Reading them together is more useful than either alone.
Keep the framing consistent across all three. ABC analysis grades past contribution. Sell-through summarizes past share-of-stock movement. Days remaining is an estimate based on past sales. None of them is a forecast, and none of them makes the decision for you. They inform your judgment, which still has to weigh things the reports do not see.
Where supplier performance fits before reordering
Once sell-through has helped you separate what is moving from what is sitting, the next practical step before placing a reorder is to think about the suppliers behind those products. Shopify keeps your purchase order records, and that history is the raw material for a qualitative read on supplier performance over time.
Keep this comparison plain. For each supplier behind a fast-moving product, look at how reliable they have been on past orders, how their deliveries have actually arrived against what you expected, and how consistent the quality has been when stock landed. Those are judgments you can make from your own records without inventing a scoring system or assigning weights. A supplier who has been steady is a different reorder conversation from one who has been inconsistent, even when the sell-through reading on their products looks identical.
Sell-through tells you which products earned the reorder conversation. Your supplier history shapes how you approach that conversation. The two readings are separate, and treating them that way keeps each one honest.
Limitations
Kijun is not a full Stocky replacement. It does not forecast demand, recommend reorder quantities, provide low-stock alerts, manage inventory transfers, or replace Shopify’s native inventory reports and workflows.
Use kijun to review supplier performance before your next reorder, based on supported supplier and vendor records and purchase orders recorded in kijun. Review suppliers before your next reorder.
This article was drafted with AI assistance and checked against cited sources through kijun’s editorial workflow. Last updated: 2026-05-27.
Stocky and Shopify are trademarks of Shopify Inc. kijun is not affiliated with or endorsed by Shopify.