This page is for a domestic retail buyer who has to react to real sales data once a season's own plan is already running. At work, a buyer who leaves a WSSI untouched after sales beat forecast can run out of stock before the season ends, while a buyer who leaves it untouched after sales miss forecast can end the season holding stock nobody planned to keep. This lesson mainly teaches the decision flow: it shows how a buyer measures the size of a forecast variance, then decides whether the remaining open-to-buy can cover the reorder that variance calls for.
Cedar & Co., a local domestic brand that reorders its own T-shirt category from Delta Garments on 60-day open account, forecast 700 pieces of sales per week for the season's first two weeks. Actual sales came in at 950 pieces per week instead. Without this skill, Omar, the owner, might leave the original reorder plan unchanged, only to find the shops running low on stock well before the next planned delivery.
You need: lesson T20-C02-L02, which shows how a season's own targets become a week-by-week WSSI.
By the end of this lesson you can:
Not covered here: committing new stock against open-to-buy without overbuying (lesson T20-C02-L04) and assembling a complete open-to-buy and WSSI worksheet (lesson T20-C02-L05).
| Term | Meaning |
|---|---|
| Open-to-buy | A retailer's season budget minus its committed spend: the amount still available to commit to any range. |
| Sell-through rate | The share of stock actually sold within a planned period, used to judge whether a forecast was right. |
| Stock cover | The number of weeks a retailer's current stock is expected to last before it runs out, given its normal sales rate. |
| Reorder | A repeat purchase order placed against a style the retailer has already sold before, based on its own forecast rather than a new buyer commitment. |
| Committed spend | The value of purchase orders a retailer has already confirmed against its season budget. |
| Season budget | The total amount a retailer plans to spend buying stock for one season, set before it sees every brand's final range. |
A retailer compares actual sales against its own forecast every week, and any gap between the two is a variance, whether sales beat forecast or missed it. A variance in either direction changes how much stock cover the retailer actually has left, but it never changes the season budget itself. Before placing an extra reorder to chase strong sales, or cancelling a planned reorder because sales are weak, a buyer checks whether the remaining open-to-buy can still support the new decision.
A buyer meets several shapes of variance across a normal working year, and reading the shape correctly stops a reaction that fits one direction being applied wrongly to the other.
| What can differ | The shapes you will meet | Why it matters |
|---|---|---|
| Sales beating forecast, stock running low faster than planned | Cedar & Co.'s shops sell 950 pieces per week against a forecast of 700, so stock cover shrinks faster than the original WSSI assumed. | A buyer who does nothing can run out of stock before the next planned delivery, losing sales the forecast expected to make later in the season. |
| Sales missing forecast, stock building up faster than planned | A different style at Cedar & Co. sells only 500 pieces per week against a forecast of 700, so stock cover grows beyond what the WSSI assumed. | A buyer who does nothing can end the season holding stock that must eventually be marked down, tying up open-to-buy that could have gone to a better-selling style. |
| A variance checked against open-to-buy before acting | Omar checks whether Cedar & Co.'s remaining open-to-buy can cover an extra reorder before placing it, whichever direction the variance runs. | A beaten forecast does not create extra open-to-buy on its own; the reorder it calls for still has to fit inside what remains of the season budget. |
| An export Make to Order order with a long lead time | Northline Apparel cannot react to a variance in Order A's own export sales as quickly, since Delta Garments needs about sixteen weeks to produce a fresh batch. | A long lead time means an export variance is often absorbed by adjusting later season phases, rather than by an immediate extra reorder. |
Cedar & Co. forecast 700 pieces of sales per week for the season's first two weeks, worth 1,400 pieces planned. Actual sales came in at 950 pieces per week, 1,900 pieces actual, a variance of 500 pieces above forecast. Reordering those 500 extra pieces from Delta Garments, at Cedar & Co.'s own buying cost of USD 8.00 per piece, would cost USD 4,000. Cedar & Co.'s season budget for this category is USD 40,000, with USD 22,000 already committed, leaving USD 18,000 of open-to-buy before this reorder.
The USD 4,000 reorder comfortably fits inside the USD 18,000 open-to-buy Cedar & Co. has left, leaving USD 14,000 still free to commit to other styles later in the season. Omar can place the reorder without a season budget increase, but the remaining open-to-buy for any further reorders this season is now USD 14,000, not the original USD 18,000.
The methodA common mistake is a buyer reordering enough stock to match a beaten forecast exactly, without first checking whether that reorder's own cost fits inside the open-to-buy that remains. A strong two weeks of sales does not create extra season budget on its own; it only shows that stock is moving faster than planned. What this costs a retailer that gets it wrong is real: a buyer who reorders first and checks the budget afterward can discover the reorder itself has used up open-to-buy a later, better-timed style needed, turning one style's own strong sales into a shortage somewhere else in the season.
Actual sales are compared against a forecast every week, and any gap between the two, in either direction, is a variance. A variance that beats forecast means stock is running low faster than planned; a variance that misses forecast means stock is building up faster than planned. Neither variance creates extra season budget on its own. A buyer checks a reorder's own cost against the open-to-buy that remains before placing it, so a strong first two weeks does not accidentally use up money a later style in the season needed.
Cedar & Co. forecast 700 pieces of sales per week for the season's first two weeks and actually sold 950 pieces per week. Reordering the 500-piece variance from Delta Garments would cost USD 4,000 at Cedar & Co.'s own buying cost of USD 8.00 per piece. Cedar & Co.'s season budget for this category is USD 40,000, with USD 22,000 already committed elsewhere.
Here is the note Omar actually wrote to his own buying team:
Can Omar place the 500-piece reorder without a season budget increase? Decide before opening the answer.
Yes, the reorder can be placed without a season budget increase. Two figures in Omar's own note decide this.
First, Cedar & Co.'s own open-to-buy is USD 18,000. That is the season budget of USD 40,000 minus the committed spend of USD 22,000, calculated before this reorder is added.
Second, the reorder itself costs USD 4,000. That fits comfortably inside the USD 18,000 open-to-buy, leaving USD 14,000 still free for the rest of the season.
Omar can place the 500-piece reorder with Delta Garments now. The one thing he must not do is treat the strong first two weeks as proof there is more open-to-buy than USD 18,000 shows; the remaining USD 14,000, not the original USD 18,000, is what any further reorder this season must now fit inside.
Using this lesson's own illustrative figures:
This reorder alone leaves USD 14,000 of open-to-buy for the rest of the season, a 22% reduction from the USD 18,000 available before it. A buyer who reorders repeatedly every time sales beat forecast, without tracking this reduction each time, can discover far later in the season that open-to-buy has run out well before the season budget was ever formally increased.
Open the course workbook's "Open-to-buy" sheet. Enter the reorder's own required spend once a variance is confirmed; the sheet calculates whether it fits inside the open-to-buy that remains and shows the updated balance for any further reorder later in the season.
[Download the Open-to-buy and WSSI worksheet](../../templates/T20-C02-open-to-buy-and-wssi-worksheet.xlsx)
1. A style is forecast to sell 500 pieces this week and actually sells 650. What is the variance?
2. A retailer has USD 10,000 of open-to-buy remaining. A beaten forecast calls for a reorder costing USD 12,000. What should the buyer do?
| EN | AR | FR | TR | Meaning |
|---|---|---|---|---|
| Open-to-buy | الرصيد المتاح للشراء | Budget disponible (open-to-buy) | Alıma açık bütçe (open-to-buy) | A retailer's season budget minus its committed spend: the amount still available to commit to any range. |
| Sell-through rate | معدل البيع الفعلي | Taux d'écoulement | Satış oranı | The share of stock actually sold within a planned period, used to judge whether a forecast was right. |
| Stock cover | تغطية المخزون | Couverture de stock | Stok kapsama süresi | The number of weeks a retailer's current stock is expected to last before it runs out, given its normal sales rate. |
| Reorder | إعادة الطلب | Réassort | Yeniden sipariş | A repeat purchase order placed against a style the retailer has already sold before, based on its own forecast rather than a new buyer commitment. |
| Committed spend | الإنفاق الملتزم به | Dépenses engagées | Taahhüt edilen harcama | The value of purchase orders a retailer has already confirmed against its season budget. |
| Season budget | ميزانية الموسم | Budget de saison | Sezon bütçesi | The total amount a retailer plans to spend buying stock for one season, set before it sees every brand's final range. |
You now know how to adjust an open-to-buy plan once real sales beat or miss forecast. The next lesson shows how to commit new stock against the open-to-buy that remains, without overbuying beyond it. Back to the course map