Clothing inventory is not like other Shopify stores. One style with 5 sizes and 3 colours is actually 15 separate SKUs with completely different sales velocities. Medium sells out. XXL sits for months. Seasonal buying cycles mean dead stock risk is always high. This guide covers how to actually manage it — size curves, dead stock prevention, seasonal planning, and when Shopify Admin stops being enough.
A general product store with 50 SKUs has 50 inventory situations to manage. A clothing store with 50 styles across 5 sizes and 3 colours has 750 SKUs — each with its own sales velocity, reorder point, and dead stock risk. The same inventory principles apply, but the scale and complexity multiplies fast.
Add seasonal buying cycles — where you commit to large orders months in advance based on trend forecasts — and the margin for error shrinks further. Overbuy on the wrong sizes, miss a trend shift, or fail to clear dead stock before next season arrives, and your cash flow takes a hit that compounds across every buying cycle.
A size curve is the expected distribution of sales across sizes for a given style. For most unisex or women's casual clothing, the curve roughly looks like this:
If you order equal quantities of each size — 50 of each — you will stock out of Medium and Large while sitting on excess XS and XXL. Matching your order to your actual size curve is the single biggest lever in reducing clothing dead stock.
Generic inventory advice covers reorder points and stock alerts. Here is what those features mean specifically for a clothing store — and how Debnix handles each one.
Your Black Oversized Tee and White Linen Dress are your A-items — 20% of styles driving 70% of revenue. Your novelty prints and niche colourways are C-items. ABC analysis tells you which styles deserve bigger seasonal buys and which ones to test small.
Debnix runs ABC analysis automatically across your full product catalog and recalculates as your sales data changes. No manual categorisation.
A style selling 4 units/day with a 21-day supplier lead time needs a reorder point of 84 units — plus safety stock for demand spikes. If you are calculating this manually across 80 styles, you are always a little wrong.
Read the full guide →Debnix calculates reorder points from your real Shopify sales velocity per product. When stock drops to the threshold, it flags the product for reorder.
The worst time to discover dead stock is when you are planning next season. If a style has not sold in 60 days, you need to know now — while you can still run a markdown or bundle it rather than carrying it for another 6 months.
Read the full guide →Debnix flags every product with 60+ days of no sales automatically in your Alerts dashboard, including the total cash value sitting idle.
Your seasonal buy should be informed by last season sell-through rates, current stock levels, and lead times from your supplier. Managing this in email threads and spreadsheets is how you end up with the wrong styles and quantities.
Debnix lets you create POs directly inside the app, track status from draft to received, and auto-updates stock counts when you mark items as received.
A dress doing 50 units/month at $89 revenue sounds great. But if your COGS is $42, returns run at 12%, and you markdown 30% of stock at season end — the actual margin is thin. You need to see this per style to make smart reorder decisions.
Read the full guide →Debnix pulls your product cost data and calculates actual margin per SKU. See which styles are carrying your store and which are diluting profits.
Summer 2025 sold differently from Summer 2024. AI can catch those year-over-year patterns and account for trend shifts. Manual forecasting always relies on last season being a reliable guide — it often is not.
Debnix uses Google Gemini AI to forecast demand per product, with reasoning shown so you understand why a prediction was made — not just a number.
Seasonal buying is where most clothing store inventory problems are created. You commit to large orders months in advance, receive them in a compressed window, and then have 12-16 weeks to sell through before the next season arrives. Here is a planning checklist that covers each phase.
For a clothing store specifically, here is what each approach gives you.
| Feature | Shopify Admin | Spreadsheets | Debnix |
|---|---|---|---|
| Sales velocity per product | Manual | ||
| Auto-calculated reorder points | Manual | ||
| Dead stock detection | Manual monthly | ||
| ABC analysis | Manual | ||
| Purchase orders | Basic | ||
| Profit margin per style | Manual | ||
| AI demand predictions | |||
| Seasonal planning support | Manual | ||
| Cost | Free | Free | $21.99/mo |
Shopify Admin is genuinely fine for small clothing stores. If you have under 20 styles, sell at a steady pace, and have one supplier, the built-in tools cover what you need. Do not pay for software you do not need yet.
But there are clear signals that you have outgrown it:
If three or more of these apply, an inventory app at $21.99/month will pay for itself within the first season by preventing one stockout on your bestseller or catching one dead stock situation early enough to markdown and clear.
Debnix connects directly to your Shopify store and gives you AI demand predictions, auto-calculated reorder points, ABC analysis by style, dead stock alerts, purchase orders, and profit tracking per product. Flat $21.99/month — no per-SKU fees that grow as your catalog grows.
Shopify is shutting down Stocky on August 31, 2026. Many clothing store owners used Stocky for purchase orders and basic demand forecasting. After shutdown, all Stocky data — PO history, supplier list, cost data — becomes inaccessible.
If you are still on Stocky, export your data now before evaluating replacements. For a full breakdown of what happens on August 31 and how to migrate, read our Stocky shutdown guide or the step-by-step migration guide.
Shopify tracks inventory at the variant level automatically. Each size/colour combination is a separate variant with its own stock count. You can see variant-level inventory in Shopify Admin under Products. The problem is that Shopify does not tell you which variants are selling fastest, which are becoming dead stock, or when to reorder — for that you need a third-party inventory app.
A small boutique with 30 styles across 4 sizes and 3 colours has 360 SKUs. A medium clothing store with 60 styles can easily have 700+ SKUs. This is why inventory management gets complex fast for apparel — each style multiplies by sizes and colours, and each variant has its own sales velocity and stock level.
Three habits prevent most clothing dead stock: (1) Order conservatively on new styles — test with 50-100 units before committing to a full buy. (2) Run ABC analysis so your slow-selling styles and niche sizes get small order quantities. (3) Check for dead stock monthly at the 60-day mark, not at the end of the season. Catching a slow mover at 60 days gives you time to markdown and clear it before it sits for 6 more months.
A size curve is the expected distribution of sales across sizes for a given style — for example, XS:8%, S:18%, M:28%, L:26%, XL:13%, XXL:7%. If you order equal quantities of each size, you will always stock out of M and L first while XS and XXL sit. Matching your order quantities to your actual size curve prevents the wrong sizes becoming dead stock.
Reorder point = (average daily sales x supplier lead time in days) + safety stock. For a clothing store, calculate this per style, not per variant — then split the reorder quantity by your size curve. If your Black Tee sells 5 units/day across all sizes and your supplier takes 21 days, your base reorder point is 105 units. Split by size curve: roughly 8 units XS, 19 units S, 29 units M, 27 units L, 14 units XL, 8 units XXL.
Shopify Admin works if you have under 20 styles with predictable demand and one supplier. Once you pass 30-40 styles with seasonal buying cycles, you need sales velocity tracking, reorder point automation, and dead stock detection that Shopify Admin does not provide. The cost of one missed reorder on your bestselling style in peak season far exceeds a $21.99/month inventory app.
AI demand predictions, reorder points, ABC analysis by style, dead stock detection, purchase orders, and profit tracking. No per-SKU fees. 30-day free trial on Shopify.
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