Inventory by store type
Inventory management for Shopify lingerie brands
Lingerie inventory lives and dies by the size grid. One style in five band sizes and four cup sizes is not one SKU, it is twenty, and most of them sell unevenly.
The inventory problems lingerie brands run into
- Size curve imbalance. a bra style might sell mostly in 34B and 36C while the extreme sizes sit on the shelf, so you need per-variant forecasts, not one number per style.
- Matching sets. bras and matching briefs or garter belts often need to stay in stock together, and running out of one half of a set stalls sales of the other.
- Color and fabric reruns. many styles are produced in limited fabric runs, so a reorder may need a new PO with a different minimum rather than a simple repeat order.
- Core versus seasonal styles. everyday t-shirt bras and basics need steady year-round stock, while lace, holiday, and seasonal collections have short selling windows and no reorder after they are gone.
- Returns and exchanges. lingerie has high size-exchange rates, and exchanged stock needs to go back into the right variant count, not just a generic restock.
Seasonality and demand
Demand peaks around Valentine's Day, Mother's Day, and the November-December holiday season, with a secondary bump around back-to-school and honeymoon or bridal shopping in spring and early summer. Core basics like everyday bras and underwear sell fairly steadily all year, so they need standing reorder points, while seasonal or holiday-specific collections (red and pink for February, loungewear for winter) need one planned order before the window and no reorder after. Plan placement orders for overseas-made goods well ahead of these peaks, since lead times from factories can stretch for weeks and a missed order-by date can mean missing the entire selling window.
Suppliers, lead times and minimums
Lingerie brands typically work with overseas garment factories for core production, often with MOQs set per color per size run rather than per style, which can mean several dozen units per size to hit a factory minimum. Domestic or regional cut-and-sew suppliers are common for smaller reorders or sample runs but usually cost more per unit and still take real time to turn around. Trim and component suppliers (elastic, hardware, lace) are a separate lead time to track if you do any local assembly, though full assembly is less common for finished branded lingerie. Case packs for finished goods are often set as pre-ratioed size assortments, so a single reorder may be forced into a fixed curve rather than the exact quantities you want.
Worked example
Say your 34C in a core t-shirt bra style sells 2 units a day on average. Your overseas factory lead time is 35 days and you keep 7 safety days, so your reorder point is 2 x (35 + 7) = 84 units. You currently have 60 units on hand and 20 on order, for 80 total, which is already below the reorder point of 84, so it is time to order. If you want 45 days of cover beyond the lead time, order quantity = 2 x (35 + 45) - 80 = 160 - 80 = 80 units, which you would then round up to match the factory's case pack ratio for that size.
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
- List every active style as separate SKUs by band, cup, and color so forecasting is per variant, not per style.
- Tag styles as core or seasonal so you know which ones get standing reorder points and which get a single planned order.
- Get real lead times from each factory or supplier, including rush options, and enter them per SKU.
- Set safety days higher for your slowest-moving extreme sizes since a stockout there is harder to notice and fix quickly.
- Confirm case pack ratios and per-size MOQs with each supplier before you set target order quantities.
- Review the weekly reorder email against upcoming calendar peaks like Valentine's Day and holiday season, not just current stock levels.
How SteadyShelf fits lingerie brands
SteadyShelf forecasts each band and cup size variant on its own and tells you when to place a reorder with each supplier, rounded to their case pack and minimums, which fits lingerie's wide size grids well. It does not track fabric lot or expiry dates, and it does not manage bundled matching sets as a single unit, so you still need to watch fabric rerun cutoffs and confirm set availability yourself.
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More: inventory management by store type · inventory glossary · Stocky alternatives
FAQ
Can SteadyShelf forecast demand separately for each band and cup size?
Yes. Every band, cup, and color combination is treated as its own SKU with its own sales history and forecast, so a popular 36C does not get buried in average numbers with a slow-moving 32A.
Does SteadyShelf manage matching sets, like a bra and its matching brief?
No. SteadyShelf does not do bundles. It will forecast and reorder the bra and the brief as separate SKUs, so you still need to check manually that both halves of a set stay in stock together.
Does SteadyShelf track fabric lot numbers or expiry for things like elastic shelf life?
No. SteadyShelf does not do lot or expiry tracking. If you need to track fabric age or elastic degradation, keep that record with your supplier or in a separate spreadsheet and use it to time your reorders before older stock becomes unsellable.
Let SteadyShelf do this math for every SKU
Order-by dates per supplier, seasonal forecasts and draft POs for your Shopify store. $29/month after a 30-day free trial.
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