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InventoryAugust 12, 20266 min read

How to Prioritize Products for Reordering

You can't review every SKU with the same care every week. Here's how to decide which products deserve tight reorder attention and which don't.

A 400-SKU store doesn't have time to recalculate 400 reorder points by hand every week, and it doesn't need to. Twenty of those SKUs probably drive most of the revenue, and the rest can wait for a lighter review. The trick is knowing which twenty.

Why every SKU isn't equal

Treating a two-dollar accessory the same as an eighty-dollar bestseller wastes review time on the former and risks under-attending the latter. A flat review cadence applied to every SKU feels fair, but it spends exactly as much attention on a SKU that barely moves as on one that funds most of the business, and as a catalog grows, that's the reason reviews start getting skipped entirely.

Grading by revenue contribution

ABC analysis, already covered in our inventory fundamentals guide, groups SKUs into three tiers by revenue contribution: a small share of A products usually driving the large majority of revenue, a mid-tier B group, and a large C group contributing comparatively little. Shopify's own native ABC product analysis report grades variants this way over a trailing period, roughly an 80/15/5 split — worth using if you want the grading pulled from your own store's data, though it's the one native inventory report with a directly confirmed plan restriction, so check it against your own plan.

Applied specifically to reordering, the tiers translate into a review policy:

  • A products: the tightest attention. Use the full reorder point formula with a properly sized safety stock, and review weekly at minimum.
  • B products: the formula is still worth using, but biweekly or monthly review is usually enough.
  • C products: a rough days-of-cover buffer is typically good enough, reviewed monthly or quarterly.

Other priority signals besides revenue

  • Demand variability. Some frameworks pair ABC with a second axis grouping products by how variable their demand is, sometimes called XYZ analysis — stable sellers at one end, erratic ones at the other. A high-revenue product with genuinely erratic demand is harder to plan precisely no matter how much money it makes.
  • Lead time. A SKU on a long or unreliable supplier lead time deserves closer attention regardless of its revenue tier, simply because there's less room to react if a review is missed.
  • Margin, not just revenue. A mid-revenue product with unusually high margin can be worth more per unit sold than its tier alone implies, worth a manual override.

Put the two dominant signals together: a high-revenue product with stable demand is where a precise, formula-driven reorder point pays off most. A low-revenue product with erratic demand is the opposite case, where a simple rule of thumb is more defensible than forcing a tight formula onto unpredictable numbers. That pairing is a useful way to think about where precision earns its keep, not a rigid system to apply mechanically.

Crossing revenue tier with demand variabilityA nine-cell grid crosses ABC revenue-contribution tiers, from A at the top down to C at the bottom, against XYZ demand-variability tiers, from X on the left to Z on the right. Each cell's shading stands for how much review attention it earns, not a number: AX, high revenue and stable demand, is the darkest cell and earns the tightest, most formula-driven review. CZ, low revenue and erratic demand, is the lightest and earns the loosest review, closer to a rule of thumb than a precise calculation. AZ and CX, the two cells that trade one strong signal for one weak one, sit at matching mid-level shading between those two extremes. No numeric thresholds separate the tiers on this chart, because the underlying research this site could verify did not agree on one.Where review attention actually pays offrevenue contribution crossed with demand variabilitydemand variability — stable → erraticXYZrevenue contribution — high (A) → low (C)ABCAXAYAZBXBYBZCXCYCZtighter reviewlooser review
The shading is a judgment call, not a formula — the site couldn't find a numeric threshold two sources agreed on, so this chart doesn't draw one.

A simple triage routine

  • Sort SKUs into revenue tiers, using Shopify's native ABC report or your own export
  • Set a review cadence per tier: weekly for the top tier, monthly for the middle, quarterly for the rest
  • Flag any SKU on a long or unreliable supplier lead time, regardless of its tier
  • Treat genuinely unpredictable SKUs' buffers as a judgment call, not a formula output
  • Revisit tiers periodically: a slow seller can become a bestseller, and the reverse happens just as often

Prioritization decides how much attention each SKU gets; the rest of the replenishment process decides what to do with that attention. None of this needs to stay manual forever — StockCue's buying planner already sorts recommendations by supplier and urgency, and its Scale plan adds ABC analysis computed directly from your own sales data.

STOCKCUE

StockCue's buying planner is already sorted by urgency across suppliers, and Scale adds ABC analysis computed from the store's own sales data rather than a manual grading spreadsheet.

Install StockCue on Shopify →

Frequently Asked Questions

How do you decide which products to reorder first?

Start with revenue contribution: the small share of SKUs driving most of your sales deserve the tightest reorder-point tracking. Layer in demand volatility and supplier lead time; a high-revenue SKU with a long lead time deserves closer attention than its revenue tier alone suggests.

What is ABC analysis for reordering?

ABC analysis groups products into three tiers by revenue contribution: a small A group driving most revenue, a mid-tier B group, and a large C group contributing comparatively little. Applied to reordering, it sets review frequency and precision per tier.

Should slow-moving SKUs get the same review frequency as bestsellers?

No. Reviewing a slow, low-revenue SKU as often as your top sellers spends time you don't get back without a proportional payoff. A monthly or quarterly check is usually enough for genuinely low-velocity products.

Devmerx

Devmerx is a Shopify and WordPress development agency helping DTC brands build faster stores, cleaner migrations, and higher-converting experiences. Based in London, UK, serving clients worldwide.

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