Footwear assortment planning is a budget problem wearing a style problem's clothes. Every style you add takes a full size run out of your open-to-buy, so the question is never just "is this a good boot", it is "is this boot worth six other things I will not be able to buy". This guide is the footwear-specific version of assortment planning: category mix, seasonal timing, price points, style count and size depth, held together by a budget.
I am Carina Hatton, boutique owner since 2013 and ecommerce coach since 2019. The general framework for any category sits in retail assortment planning. This article covers what footwear does differently. Every figure below is a clearly labelled hypothetical.
Quick answer
Start with style slots, not with styles
Because footwear ships in runs, the useful planning unit is the style slot: one style, one full run, one chunk of budget.
Cost per style slot = pairs per run × landed cost per pair
Style slots available = seasonal open-to-buy ÷ average cost per style slot
A hypothetical season with a $14,000 open-to-buy and a mixed assortment:
| Tier | Landed cost per pair | Run size | Cost per slot | Slots planned | Spend |
|---|---|---|---|---|---|
| Entry | $13 | 8 | $104 | 12 | $1,248 |
| Core | $27 | 10 | $270 | 24 | $6,480 |
| Elevated | $52 | 10 | $520 | 8 | $4,160 |
| Statement | $85 | 6 | $510 | 2 | $1,020 |
| Reorder reserve | — | — | — | — | $1,092 |
| Total | — | — | — | 46 | $14,000 |
Illustration only. What this table does is make the trade-off visible: adding two more statement styles removes roughly four core slots, and core styles are usually the ones that reorder.
Category mix
Allocate the style slots by shoe category, weighted to your niche and your season. A hypothetical autumn allocation for a general women's footwear boutique:
| Category | Share of slots | Role | Risk note |
|---|---|---|---|
| Boots and booties | 35% | Season anchor and highest ticket | Largest cash commitment, buy the core deep |
| Sneakers | 25% | Year-round volume and repeat purchase | Size precision matters, half sizes help |
| Flats and loafers | 15% | Everyday wardrobe filler | Easily commoditised, differentiate on detail |
| Heels and dress | 10% | Occasion purchases | Lumpy demand, keep depth low |
| Slippers and cosy | 10% | Gifting and impulse in the cold months | Sharp season, clear it before spring |
| Carryover sandals | 5% | Warm-climate customers and online reach | Only if you genuinely have that customer |
Core versus trend
Core styles are the ones you can reorder and re-photograph and still sell next year. Trend styles are the ones that make the store feel current and become dead stock the moment the trend turns.
| Core | Trend | |
|---|---|---|
| Depth | Full runs, reorder aggressively | Smallest run the vendor allows |
| Margin planning | Plan to sell most pairs at full price | Plan for a markdown from the start |
| Photography | Worth proper investment, reused for seasons | Fast and current |
| Reorder rule | Restock whenever core sizes go out | Only restock inside the trend window |
A workable hypothetical split for a store still learning its customer is roughly two thirds core and one third trend, tightened toward core if cash is limited. The exact ratio matters less than being honest about which bucket each style belongs in when you buy it.
Seasonal timing
Footwear is committed long before it sells, which means assortment planning is a calendar exercise as much as a budget one.
| Period | What you are buying | What you are doing on the floor |
|---|---|---|
| Winter | Spring and summer sandals | Clearing boots and cosy, protecting margin |
| Spring | Autumn boots and transitional styles | Landing sandals, first warm-weather reorders |
| Summer | Holiday and cosy categories | Peak sandal sell-through, mid-season sandal markdowns |
| Autumn | Spring reorders and early next-season tests | Boot season, the biggest revenue window for most stores |
Two rules that keep this manageable: never commit next season's budget while this season is still unsold, and always leave a reorder reserve, because the in-season restock on a proven style is the lowest-risk money you will spend all year. Cap it all with open to buy and model the timing in boutique cash flow example.
Price points and the ladder
A footwear floor with only one price point converts badly. Customers use price to sort, and a visible ladder lets a shopper trade up or down without leaving.
- Entry creates an accessible way into the brand and drives trial
- Core is where most of your volume and most of your gross profit should sit
- Elevated raises the perceived quality of everything below it
- Statement anchors the display and sells rarely, which is fine as long as you buy it shallow
Set the actual prices from landed cost rather than from the vendor's suggestion, using landed cost and retail pricing, with the formulas in retail math formulas.
Colour and material within a style slot
A colour is not free. A style in three colours is three size runs, which is three style slots, not one. Practical approach:
- Buy the safest colour in the deepest run
- Add a second colour only when the style has proven itself or the vendor allows a smaller run
- Treat unusual colours as trend buys with a markdown plan
- Keep neutrals as the reorderable base, because neutrals photograph, restock and carry over
Size depth across the assortment
Depth is the other half of the plan. Deciding you want 46 style slots is meaningless if every run is packed with sizes your customers do not wear.
Apply the size logic in three tiers:
- Core styles: full runs weighted toward your measured size distribution, refilled mid-season
- Seasonal styles: standard vendor runs, no mid-season refill unless sell-through is exceptional
- Trend tests: smallest run available, accept a broken run at the end
The size-level method, including how to build your own curve and why no universal one exists, is in shoe size runs for boutiques. Total opening pair counts are in how many pairs a boutique should start with.
The first order against this plan
For a brand new shoe boutique, the first order should be smaller than the plan suggests and biased toward learning:
| Bucket | Share of first order | Purpose |
|---|---|---|
| Core styles, standard runs | 50% | Something dependable to build the floor on |
| Seasonal styles | 25% | Match the season you are opening into |
| Trend tests | 10% | Read your customer's appetite cheaply |
| Reorder reserve | 15% | Restock the first proven winner fast |
The general first-order framework is in how to split your first wholesale order.
In-season reorders
Reorders are where footwear assortments are actually won. The first buy is a hypothesis; the reorder is the correction. A hypothetical weekly routine:
- Pull sell-through by style and by size every Monday
- Reorder anything past your threshold while the season has enough weeks left to sell it
- Fill core sizes on strong styles before adding any new style
- Check the reorder against your remaining open-to-buy, not against enthusiasm
The calculation is in sell-through rate, and the stock discipline behind it in inventory management.
Managing markdown risk
Every footwear season produces markdown. Planning for it beats being surprised by it.
- Decide the markdown trigger when you buy: how many weeks at what sell-through
- Mark down while the season is live, because a sandal in September sells for less than a sandal in July
- Take smaller staged reductions rather than one large clearance, if the calendar allows
- Model the effect on style-level margin before setting the price
- Record which vendors and categories generate the most markdown, and buy them shallower next time
Use the Markdown Calculator and read wholesale shoe profit margins for how markdowns reshape realised margin across a run. The cost of simply holding the stock instead is in inventory carrying cost.
Reviewing the assortment after the season
At the end of each season, write down four numbers per style: units bought, units sold at full price, units sold on markdown, and units remaining. That single table tells you more about next season's plan than any trend report. Styles that sold out early were underbought. Styles that needed a 40% markdown to move were overbought or wrong. Vendors whose styles consistently appear in the second group should get fewer slots.
Building the seasonal flow calendar
Footwear punishes late deliveries more than apparel does, because a boot that lands in January and a sandal that lands in August have both missed the moment that justified buying them. The fix is a written flow calendar that separates when you commit, when goods arrive and when you intend to clear.
| Season | Commit | Deliver | Clear by |
|---|---|---|---|
| Spring sandals and flats | Previous autumn | Late winter into early spring | Mid to late summer |
| Summer casual | Winter | Spring | End of summer |
| Autumn boots | Late winter or spring | Late summer into early autumn | End of winter |
| Holiday and occasion | Spring or summer | Autumn | Early in the new year |
| Core and year round | Ongoing | Continuous reorder | Not applicable |
Two habits make the calendar work. Flow deliveries in waves rather than taking a whole season in one delivery, so the floor looks new repeatedly and your cash goes out in stages. And put the clear-by date in the plan on the day you place the order, because a markdown decided in advance is a plan while a markdown decided in a panic is a loss.
Markdown cadence by footwear category
Different footwear categories lose value at different speeds, so one blanket sale rule across the store either clears the fast-ageing goods too late or discounts the evergreen goods for no reason.
| Category | Ageing speed | Suggested approach |
|---|---|---|
| Core basics and everyday casual | Slow | Reorder while it sells, rarely mark down |
| Seasonal sandals and boots | Fast at season end | First reduction before the season ends, not after |
| Trend-led styles | Fastest | Review at six weeks, act at the first sign of stalling |
| Occasion and dress | Tied to specific dates | Clear immediately after the occasion passes |
Weeks of supply = units on hand / average weekly units sold
Recovery on a markdown = discounted price - landed cost
Cash freed = units cleared x discounted price
A hypothetical review rule to adapt: if a seasonal style is above twelve weeks of supply with six weeks of season remaining, it will not sell through at full price, so reduce now. A staged reduction usually recovers more than a single deep cut, because the first modest reduction catches customers who were already interested while the price is still close to full.
The point of clearing is not the recovered dollars, it is the cash and the space. Money sitting in last season's boots is money not buying the styles that sell next month, and the ongoing cost of holding is quantified in inventory carrying cost. Model the reduction in the Markdown Calculator and keep the season's total spend inside the plan with open to buy.
Related: how to start a shoe boutique and shoe size runs.