Planning men's boutique inventory means deciding how deep to buy into fewer proven styles rather than how wide to spread a budget across many. The sizing curve, meaning how many units you buy in each size, is not the same for every brand or every customer base, so the honest answer is to build your own curve from your own sales data rather than copying a rule you read somewhere.

I am Carina Hatton, boutique owner since 2013 and ecommerce coach since 2019. This guide covers how to think about sizing curves without assuming a universal rule, how to set assortment depth, how to balance category mix, and how seasonal buying affects a menswear plan. All numbers here are hypothetical examples to illustrate a method, not benchmarks or averages to copy directly.

Quick answer

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Depth versus breadth in menswear

The single biggest planning mistake in a new menswear boutique is spreading an opening budget across too many styles. A rack with one unit of ten different tee styles looks busy on day one and thin within a week, because there is nothing left to sell once the first size in each style is gone. A rack with real depth in three or four proven tee styles keeps selling because there is still a size left when a customer wants one.

This matters more in menswear than in some other categories because men repeat-buy a trusted fit at a higher rate than they browse for newness. A customer who loved a shirt last month often comes back specifically for that shirt, not for whatever is new. If it is gone, you have lost both the sale and some of the trust that would have brought him back a third time.

A practical way to frame an opening buy:

  • A smaller number of core styles, bought in enough depth to cover a real size run and support at least one reorder cycle
  • A modest number of seasonal styles tied to the current buying window
  • A small number of trend or test styles bought in the smallest quantity a vendor will allow, used to learn rather than to anchor the floor

The exact split of your budget across those three groups depends on your niche, your vendors and your cash position, and there is no single ratio that fits every store. General style-count guidance that applies across categories is in how many styles should a boutique start with and how many units per style to buy.

Building a sizing curve without assuming a universal rule

A sizing curve is simply the distribution of how many units of each size you buy within a style. It is tempting to want a fixed formula, something like "always buy more mediums and larges than smalls and extra larges," and while that pattern shows up often enough in general population data, it is not a rule you should apply blindly to your own store. Your actual customer base, your niche and even your specific vendor's cut can shift the real distribution meaningfully.

A men's western boutique in one region, a streetwear-focused store in a college town, and a tailored occasion-wear shop in a city can each have genuinely different size distributions among their customers, and a big-and-tall or extended-size focused store will look nothing like any of those three. Rather than importing a curve from a blog post or a vendor's suggested prepack, treat their suggestion as a starting point and correct it with your own data as fast as you can.

Sell-through by size = units sold in that size ÷ units received in that size

Track this by size for every style from week one. If a size sells through meaningfully faster than the others within the same style, your next order in that style should lean into that size rather than repeating the original curve out of habit. If a vendor's standard prepack keeps leaving you overstocked in one size and out of stock in another, that is useful information to bring back to them, since some vendors can adjust a custom size run once you have order history with them, though not all can or will.

Be cautious about drawing conclusions from too small a sample. A single style selling out of one size in the first week could be a real pattern or could be a fluke tied to one customer buying multiples. Wait for a pattern across several styles before treating a size lean as reliable.

Balancing category mix

Category mix is the split of your inventory dollars across tops, denim, casualwear, outerwear and accessories. There is no universal correct split, since it depends heavily on your niche, but a few general principles tend to hold across most menswear stores:

Category tendencyWhy it tends to holdPlanning implication
Basics and tops usually turn fastestLower price point, broader appeal, frequent repeat purchaseOften anchors the reorder budget through the season
Outerwear usually turns slowest but carries the highest ticketHigher price point, narrower seasonal windowBuy carefully and expect a longer sell-through period
Denim sits in the middle on bothModerate price point, strong loyalty once fit is foundDepth on proven fits matters more than style variety
Accessories often carry strong marginLower cost per unit, frequent add-on purchaseUseful for lifting average order value without heavy inventory risk

Treat these as tendencies to test against your own sales, not fixed rules. A resort-focused menswear store, for example, may find its accessories and lightweight tops carry more of the season than outerwear ever will, while a workwear-focused store might see outerwear and denim anchor the year. Category-specific sourcing considerations for each of these are covered in wholesale men's clothing for boutiques.

A hypothetical opening buy allocation

The following is an invented example to show the method, not a template to copy. Assume a hypothetical $8,000 opening inventory budget for a casualwear-leaning men's boutique:

CategoryHypothetical share of budgetReasoning in this example
Tops and basics35%Anchors the assortment and drives reorder velocity
Denim20%Higher unit cost, bought deep in two or three proven fits
Casualwear and knitwear25%Carries the store's aesthetic point of view
Outerwear10%Highest ticket, bought cautiously given the longer sell-through window
Accessories10%Lower risk category used to round out the assortment and add-on sales

A western-leaning, tailored, or streetwear-leaning store would reasonably build a very different split. Build your own version using the Startup Cost Calculator and revisit it against real sell-through once you have a few weeks of data.

Seasonal buying and reorder timing

Menswear categories carry different lead times, and that has a direct effect on inventory planning, not just sourcing. Outerwear typically needs to be committed well ahead of the season, which means cash leaves the business months before the matching revenue arrives. Basics and accessories tend to be more flexible and can often be reordered reactively based on what is actually selling. Denim sits somewhere in between depending on the vendor.

Because of that lag, it helps to think of your inventory budget as staged across the year rather than spent all at once at the start. Reserve a portion of your budget for reordering proven styles rather than committing everything to the opening buy, since you will not know which sizes and styles are genuinely working until you have real sales data. The purchasing discipline that keeps this from becoming guesswork is covered in open to buy for small boutiques, and the general cash timing issue is covered in boutique business plan.

What to track from week one

  • Sell-through by style, checked weekly for the first two months, using sell-through rate for boutiques
  • Sell-through by size within each style, to correct your sizing curve on the next order
  • How many total SKUs you are actually carrying versus how many are moving, covered in how many SKUs should a small boutique carry
  • Which categories are turning fastest, to guide where the next round of buying dollars goes
  • Return or exchange reasons by style, since a pattern of exchanges to a specific size is a sizing curve signal, not just a fit fluke

Broader assortment planning principles that apply across boutique categories, not just menswear, are in retail assortment planning.

A hypothetical prepack math example

To make the sizing curve idea concrete, walk through an invented example. Say a vendor's suggested prepack for a tee style ships six units per pack in a ratio of one small, two medium, two large and one extra large. If you order three prepacks to open a style, you would receive three smalls, six mediums, six larges and three extra larges, eighteen units total. That is a reasonable starting point precisely because it came from the vendor's own sales data across many accounts, not because it is guaranteed to match your specific customer base.

Now suppose after three weeks your sell-through by size looks like this, again a hypothetical example only:

SizeUnits received (hypothetical)Units sold (hypothetical)Sell-through
Small3133%
Medium6583%
Large66100%
Extra large3133%

In this invented case, large is already sold out and medium is close behind, while small and extra large are moving slowly. The reorder on this style should lean harder into medium and large than the original prepack did, rather than repeating the same one-two-two-one ratio out of habit. This is the entire method: use the vendor's starting curve to get open, then let your own numbers correct it style by style.

Planning for markdowns before you need them

Even a well-planned menswear assortment will end a season with some styles that did not sell through at full price, and deciding how you will handle that before it happens keeps a slow style from sitting on the floor for months at full markup. A simple approach many boutiques use is to set a review point partway through a style's expected selling window, for example checking sell-through at the midpoint of the season it was bought for, and marking down anything meaningfully behind pace rather than waiting until the season is fully over. Because this varies by store and category, treat any specific timeline or discount percentage as something you set for your own business rather than a rule to copy.

Outerwear and other high-ticket categories deserve special attention here, since a jacket that does not sell through the season it was bought for ties up more cash than a slow-moving tee does, and holding it for a full year until the next matching season carries real opportunity cost. Building a markdown checkpoint into your seasonal calendar, alongside your buying and reorder dates, keeps this decision from becoming reactive and emotional when it eventually comes up.

Handling extended and multi-fit size runs

Some menswear categories, particularly denim and outerwear, may need to cover more than one fit type, such as a slim and a relaxed cut of the same core style, rather than a single fit across a standard size run. Deciding whether to carry both fits of a proven style or concentrate depth into a single fit is a real tradeoff: splitting the buy across two fits means less depth in each individual size, which can recreate the shallow-inventory problem this guide already warns against, even though the style count technically stayed the same. Before adding a second fit of an existing style, look at whether customers are actually asking for it or exchanging out of the current fit, rather than adding it speculatively because the vendor offers it.

If you do serve a size range that extends beyond a vendor's standard run, confirm early whether extended sizes are stocked the same way as the core range or handled as a special order with a longer lead time, since that changes how you plan depth and reorders for that portion of the assortment.

Common inventory planning mistakes in menswear

  • Copying a sizing curve from another store or a generic rule. Your customer base is not identical to anyone else's, and the only reliable curve is the one you build from your own sales.
  • Buying too many styles at shallow depth. It looks impressive on the floor for about a week and then leaves you with broken size runs and nothing to reorder.
  • Treating outerwear buying decisions on the same timeline as basics. The longer lead time means outerwear has to be planned earlier, or you miss the season entirely.
  • Spending the entire opening budget upfront. Holding back reorder dollars matters more in menswear, where a proven style is worth repeating quickly.
  • Ignoring exchange data. A pattern of size exchanges on one style is telling you your sizing curve was wrong, and it is worth correcting before the next order rather than repeating the mistake.

Where this connects

Good inventory planning depends on having the right vendors lined up in the first place, since a vendor's minimum size run and prepack structure directly shapes what depth is even possible on your budget. If you have not settled your vendor bench yet, start with wholesale men's clothing for boutiques. If you are still working through the earlier decisions of niche, budget and launch sequencing, the full path is in how to start a men's clothing boutique.