Inventory management for Shopify womens clothing brands

The inventory problems womens clothing brands run into

• Size curve imbalance. A style can sell out in M and S while L and XL sit on the shelf, so you need to reorder per variant, not per style.
• Short selling windows. Many styles are tied to a season or a drop and only sell well for a few months, so ordering too late means missing the window entirely.
• Color and print variability. Suppliers often run limited yardage on a print, so reorders of a popular colorway may not be possible at all once it sells out.
• Pre-order and wholesale overlap. Some units get committed to wholesale accounts or pre-orders before they ever hit your Shopify store, which complicates what "on hand" really means.
• Fit and return churn. Clothing has higher return rates tied to sizing, so net sell-through is harder to read than raw order counts.

Seasonality and demand

Clothing brands plan around a few fixed windows: spring/summer launch, back-to-school, holiday gifting, and resort or transitional drops between seasons. Each of these needs its own forecast, since last year's December sales tell you little about a new spring print. Build in extra lead time before each seasonal launch, because factories and fabric mills get backed up right before every brand's big push. For core basics like t-shirts or leggings that sell year-round, plan reorders on a steady cycle instead of trying to time a season.

Suppliers, lead times and minimums

Clothing brands typically work with a mix of domestic cut-and-sew factories and overseas manufacturers, sometimes through an agent. Domestic suppliers tend to turn around faster but cost more per unit; overseas suppliers often take several weeks or more once production starts, plus shipping time. MOQs are usually set per style and per color, often in case packs that bundle a full size run (for example, one dozen units split across XS to XL). Reordering mid-season is common but not guaranteed, since fabric and trims may not be available again.

Worked example

Say you sell a floral wrap dress in size M and average 3 units a day. Your supplier's lead time is 20 days, and you keep 5 safety days as a buffer. Your reorder point is 3 x (20 + 5) = 75 units, so you place a new order once stock drops to that level. If you want 30 days of cover after the order arrives, and you currently have 40 units on hand with 20 already on order, your order quantity is 3 x (20 + 30) - (40 + 20) = 150 - 60 = 90 units, rounded up to the next case pack your factory requires.

Try it with your own numbers in the reorder point calculator, or size your buffer with the safety stock calculator.

A simple system to start this week

1. List every active style with its size and color variants as separate SKUs, not just one SKU per style.
2. Set a lead time and case pack size for each supplier you use.
3. Track which units are already committed to wholesale or pre-orders before setting your "available" count.
4. Build a reorder calendar around your actual launch dates, with order-by deadlines backed out from lead time.
5. Watch size curves weekly, not just total units, so you catch an M selling out while L sits still.
6. Flag styles tied to limited fabric runs so you don't plan a reorder that the supplier can't fulfill.

How SteadyShelf fits womens clothing brands

SteadyShelf forecasts demand per size and color variant, factors in your seasonal patterns, and tells you the order-by date for each SKU based on your supplier's lead time. It rounds suggested order quantities to your supplier's case packs and drafts the purchase order for you to approve and send. It does not track fabric lot availability, handle wholesale allocation splits, or manage markdown planning, so you'll still need to confirm a reorder is physically possible with your factory before approving the PO.

$29/month flat, unlimited products and suppliers, 30-day free trial.

SteadyShelf is launching on the Shopify App Store. Join early access to get the install link first.

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