What appears in stores was ordered long before, and the lead times explain both the markdown calendar and the periodic shortages.
Lead times
Apparel and homeware are frequently ordered six to twelve months in advance.
Which means buyers forecast demand well before the season.
Manufacturing and shipping account for much of that lead time.
Open to buy
A budget for purchases within a period, adjusted as sales come in.
Which is the mechanism controlling inventory investment.
Overbuying early leaves no capacity to react to what actually sells.
The markdown cadence
Planned price reductions at defined points through a season.
Which is modelled to maximise total revenue rather than to clear stock quickly.
The final markdown before clearance is generally the deepest.
Chase and replenishment
Reordering items that sell well.
Which requires supplier capacity and short enough lead times to be useful.
Fast fashion operations built their model on compressing this cycle.
Holiday planning
Peak season merchandise is committed months ahead with limited flexibility.
Which is why shortages of specific items occur and cannot be fixed within the season.
Container booking and port capacity constrain late adjustments.
Weather risk
Seasonal apparel demand depends heavily on weather.
Which is unforecastable at ordering lead times.
Unseasonable weather produces both shortages and heavy markdowns in the same season.
Carryover
Holding unsold seasonal stock for the following year.
Which ties up capital and works for basics rather than for fashion.
Storage cost and style risk determine whether it is worthwhile.
What shoppers can use
Markdown cadences are reasonably predictable by category and season, which makes waiting a calculable trade against selection.
Allocation between stores
Deciding how much of each item goes where.
Which depends on historical sales and local demographics.
Poor allocation produces simultaneous shortages and markdowns in different locations.
Transfers
Moving stock between stores to match demand.
Which costs money and is worthwhile for higher-value goods.
Online fulfilment from store stock has partly replaced physical transfers.
Vendor arrangements
Consignment, markdown funding and return privileges.
Which shift inventory risk between supplier and retailer.
Terms vary by category and by the relative power of the parties.
Data and forecasting
Historical sales, weather models and early season indicators.
Which improve accuracy without eliminating error.
Fashion categories remain substantially less forecastable than basics.
Reading the calendar
Markdown timing is broadly consistent year to year, which makes waiting a calculable decision.
Supplier lead time reduction
Nearshoring and domestic production shorten lead times.
Which allows more responsive buying at higher unit cost.
The trade between unit cost and responsiveness is a central buying decision.
Presentation and floor space
Seasonal displays occupy space that has an opportunity cost.
Which drives the timing of transitions between seasons.
Holiday merchandise appearing early reflects space planning rather than eagerness.
Post-season clearance
Deepest reductions occur after the season ends.
Which requires storage until the following year to use the purchase.
For durable seasonal goods this is genuinely economic.
Online inventory
Centralised stock can be sold nationally rather than being stranded in one region.
Which reduces markdown pressure compared with store-based inventory.
Practical timing
Buy early for selection, late for price, and post-season for the deepest reductions on anything storable.
Why sales happen when they do
Markdown timing is planned to maximise total revenue across a season rather than to clear stock as quickly as possible.
That is why reductions deepen predictably rather than arriving all at once, and why post-season clearance is deepest of all.
Using it
Buy early for selection, late for price, and after the season for anything you can store.
What buyers actually do
Attend trade shows, review historical performance, forecast, commit, then manage the outcome through markdowns and transfers.
Which is a forecasting job with a very long feedback loop.
Getting it wrong is visible on the shop floor months later.
A closing observation
What is on the shelf today was decided by a buyer nearly a year ago on the basis of a forecast.
Every shortage, every markdown and every clearance rack is that forecast meeting reality, which is a considerably more human process than shelf pricing suggests.
A practical checklist
Buy early for selection, mid-season for balance, late for price and post-season for anything storable.
Markdown cadences repeat year to year within a category, which makes the trade between selection and price a calculable decision rather than a gamble.
Why shortages happen
Commitments are made months ahead with limited ability to reorder within a season.
An item that sells better than forecast cannot generally be replaced before the season ends, which is why popular seasonal goods disappear and do not return.
One last point
The markdown you are waiting for was scheduled before the season began.
Knowing that turns waiting from a gamble into a calculated trade between price and selection.
The deepest reductions arrive after the season, on goods you will need again next year.