When to Reorder a Bestselling Hoodie: The Decision in One Page
The Monday report shows one heavyweight hoodie colour selling 250 net units a week, 8 weeks of cover on the shelf and 2,500 more units somewhere between the factory and the warehouse. The question for the meeting is whether to place a repeat today or wait another week. Decide when to reorder a bestselling hoodie too early and the season can end with stock that no longer sells at full price. Decide too late and the style runs out while the repeat is still being sewn.
The answer comes from three numbers: the demand you expect each week, the total stock you already own including everything on order, and the number of weeks a repeat needs to reach the shelf. Hoodies add two complications that plain basics do not. Demand follows the weather and the trading calendar, so a flat average can mislead. Fleece also has a longer chain behind it than a jersey top, because yarn, knitting, dyeing, brushing and rib all sit upstream of cutting.
The tiles come from the worked example later in the guide. They are illustrative and not benchmarks, and every input is labelled so you can replace it with your own. The method has four steps.
Four steps to the reorder week
- 1Net weekly demandStart from units sold, take off returns, add back demand lost to stockouts and size breaks.
- 2Pipeline stockAdd every unit on order or in transit, each with a confirmed date it can be sold.
- 3Lead time and bufferDecision to available to sell, plus a buffer set from recent delays.
- 4Season-end stress testRun weaker demand, stronger demand and a late delivery, then price the stock left over.
A framework for the decision, not a fixed process. Fabric held in advance or air freight options will change how the steps are weighted.
Step 1: Calculate Net Weekly Demand Before You Calculate Anything Else
To reorder a bestselling hoodie with confidence, start with net weekly demand: the number of units the market would take from you in a normal week, after returns and without the distortion of weeks when you could not serve it. It is not the figure at the top of the sales report. Reported sales are what you managed to sell, which understates demand whenever a size or colour ran out, and they are gross of returns, which overstates the units customers kept.
Net weekly demand = (units sold minus returned units, averaged over the chosen weeks) + estimated unmet demand per week from stockouts and size breaks, adjusted for any known change such as a price move, a promotion or a weather turn.
The table builds the figure for one colour from four weeks of illustrative data. Returns are netted off here because returned units are assumed not to be back on the shelf in time to resell. If your returns are restocked within days, treat them as stock instead of subtracting them, so you do not count the same unit twice.
Illustrative net weekly demand, last four weeks
| Line | Weekly values | Average per week |
|---|---|---|
| Gross units sold | 270, 290, 280, 280 | 280 |
| Returned units | 45, 35, 40, 40 | 40 |
| Net units sold | 225, 255, 240, 240 | 240 |
| Estimated unmet demand | Week 4 only: 40 units (size breaks on two sizes) | 10 (40 divided by 4 weeks) |
| Net weekly demand used | 240 + 10 | 250 |
All figures illustrative. Unmet demand is an estimate, so check it against the in-stock rate by size and against customer comments before relying on it.
Choose the window deliberately. Four weeks reacts quickly to a style that is accelerating, but it is noisy, and a heatwave or a promotion week can distort it. Eight weeks is steadier but lags a style that is fading. For a hoodie coming into its cold-weather months the faster window is usually the more useful one, provided the forecast is adjusted for the weeks ahead and not just the weeks behind. Our guide to reading Monday trading reports shows where each of these columns normally sits in the report.
Step 2: Count On-Order and In-Transit Units as One Pipeline
The most common reorder error is to compare the lead time with the stock on the shelf and ignore stock that has already been bought. The figure that matters is the inventory position: units on hand, plus units in transit, plus units in production on confirmed orders, less anything allocated elsewhere. Weeks of cover is that position divided by net weekly demand, and it should always state which stock it includes.
In the example the shelf holds 2,000 units, which is 8 weeks of cover on hand. Another 1,000 units are at sea and 1,500 are still in production. Counting the whole pipeline, the position is 4,500 units, which is 18 weeks of forward cover. A repeat decision made on the 8 weeks alone would look urgent, and one made on the 18 weeks looks comfortable. The second is the correct view only if the dates in the table hold.
Illustrative pipeline for one hoodie colour
| Stock bucket | Units | Available to sell | Evidence to ask for |
|---|---|---|---|
| On hand | 2,000 | Now | Warehouse count reconciled to the trading report, less allocated units |
| In transit | 1,000 | Start of week 3 | Booked sailing or flight, carrier arrival date, customs and goods-in allowance |
| In production | 1,500 | Start of week 7 | Confirmed ex-factory date, inspection date and booked shipment |
| Inventory position | 4,500 | Whole pipeline | Sum of the three lines above |
Illustrative quantities and dates. Count in-production units only against a confirmed ex-factory date, not the date in the original plan.
Treat each bucket by how much you trust its date. Units on hand are certain. Units in transit are nearly certain but can slip at customs or goods-in. Units still in production depend on the factory completing on schedule, so ask for the evidence rather than the promise. If a bucket has no confirmed date, move it out of the position until it does.
Fleece Lead Times and Hoodie Seasonality: Why the Calendar Matters
A hoodie repeat is quick when the fabric is already in stock and slow when the fleece has to be made again. The lead time for a repeat is the sum of every wait from your decision to the day the unit can be sold, and the fabric stage is the one that varies most. We do not quote lead times in this guide because they depend on the fabric, the colour and the programme. The buyer should ask the factory and the forwarder for current confirmed timings, as covered in our clothing production lead times guide.
How fabric readiness changes a hoodie repeat
1 dot = low, 5 dots = high
| Speed to shelf | Shade and quality risk | Commitment before demand is proven | |
|---|---|---|---|
| Finished fleece held for the colour | ●●●●● | ●●●●● | ●●●●● |
| Undyed (greige) fleece held | ●●●●● | ●●●●● | ●●●●● |
| Yarn held, fabric to be knitted and dyed | ●●●●● | ●●●●● | ●●●●● |
| Fabric to be sourced and made again | ●●●●● | ●●●●● | ●●●●● |
Indicative ratings for how the starting point changes a repeat. For the second column and the third, a higher score means more risk or more commitment. Not measured data.
Holding fabric makes the repeat fast, but it commits money before demand is proven, which is the trade-off in the third column. A common compromise is to reserve fabric or capacity only for colours the sales data already supports. Heavier fleece in particular behaves differently in knitting, dyeing and brushing, so check our hoodie fabric GSM guide before assuming a repeat can reuse an earlier lot without a fresh approval.
Seasonality adds the second complication. Hoodie demand usually builds as the weather cools, peaks in the heart of the cold season and then falls away, often sharply once clearance begins. A flat weekly average is a fair simplification for a four-week reorder decision, but a style approaching the end of its season behaves differently from a style entering it. The same 250 units a week is a stronger signal in the first weeks of autumn than in the last weeks of winter, because the first is usually heading up and the second is heading down.
Step 3: Set Lead-Time and Buffer Assumptions Without a Statistics Model
For a single colour with a handful of weeks of history, a weeks-based buffer is usually more honest than a statistical safety stock. The reorder point is demand over the lead time plus a buffer, where the buffer is a number of weeks of cover chosen from the delays you have actually seen on recent repeats. If the formal safety-stock calculation using service levels is what you need, it is set out in our reorder point formula guide, and this page does not repeat it.
Illustrative lead-time and buffer assumptions
| Assumption | Value used | How to set it from your own data |
|---|---|---|
| Replenishment lead time | 8 weeks | Decision to available to sell on the last few repeats, including approval, fabric, production, transit and goods-in |
| Demand over the lead time | 2,000 units | 250 units a week multiplied by 8 weeks |
| Buffer | 1 week, 250 units | The longest delivery slip or review gap seen on recent repeats, in weeks, multiplied by weekly demand |
| Reorder point | 2,250 units | 2,000 + 250 |
| Reorder point in weeks | 9 weeks of cover | 2,250 divided by 250 |
Illustrative. The buffer is a judgement rule, not a statistical result. If your delays are longer or more erratic, the buffer should be longer, and a less reliable programme needs a larger one.
Two points about the buffer. First, it protects against slow delivery and the weekly review gap, not against a style whose demand collapses, which is handled by the stress test later. Second, the cheapest buffer is often better delivery performance, not more units. If the same factory has been a week late on every recent repeat, the real fix is a plan that deals with the cause.
Worked Example: When to Reorder a Bestselling Hoodie Selling 250 a Week
Here is the full walk-through. The hoodie sells 250 net units a week with an 8-week lead time. The pipeline holds 4,500 units, the reorder point is 2,250 units and the last full-price selling week is week 26. All inputs are illustrative assumptions. The position falls by 250 units every week as stock sells, so it reaches the reorder point after (4,500 minus 2,250) divided by 250 = 9 weeks.
The base plan, week by week
- Today2,000 units on hand, 1,000 in transit and 1,500 in production. Position 4,500 units, 18 weeks of forward cover.
- Start of week 3The 1,000 units in transit become available to sell.
- Start of week 7The 1,500 units in production arrive after inspection and shipment.
- End of week 9Position falls to 2,250 units, equal to the reorder point. The review triggers a repeat.
- Start of week 10Repeat of 2,000 units placed. With an 8-week lead time it is available to sell at the start of week 18.
- Start of week 18Only 250 units remain on the shelf, one week of cover, and the repeat arrives.
- End of week 26Last full-price selling week. The plan ends with no units left over.
Illustrative timeline for the assumed base plan. Week 26 is an assumed season end, not a typical one.
The table below shows the same plan as a ledger. The inventory position excludes the repeat so that you can see when it falls to the reorder point, and the action column shows what the buyer does each week.
Illustrative weekly pipeline walk, base plan
| Week | Opening on hand | Received | Sold | Closing on hand | Position, existing pipeline | Action |
|---|---|---|---|---|---|---|
| 1 | 2,000 | 0 | 250 | 1,750 | 4,250 | Hold |
| 2 | 1,750 | 0 | 250 | 1,500 | 4,000 | Hold |
| 3 | 1,500 | 1,000 | 250 | 2,250 | 3,750 | Hold; transit stock received |
| 7 | 1,500 | 1,500 | 250 | 2,750 | 2,750 | Hold; production stock received |
| 9 | 2,500 | 0 | 250 | 2,250 | 2,250 | Position at reorder point: order |
| 10 | 2,250 | 0 | 250 | 2,000 | 2,000 | Repeat placed at start of week |
| 17 | 500 | 0 | 250 | 250 | 250 | Hold; last week before the repeat |
| 18 | 250 | 2,000 | 250 | 2,000 | 0 | Repeat received |
| 26 | 250 | 0 | 250 | 0 | n/a | Season end |
Illustrative arithmetic on the assumed base plan. Units received arrive at the start of the week shown. Position = closing on hand plus units not yet received, excluding the repeat.
Notice how little room there is. The repeat lands in week 18 with 250 units on the shelf. Placed one week later it would still arrive before the shelf is empty, because the existing pipeline lasts through week 18, but a two-week delay in delivery would not. That single week of cover is the buffer doing its job.
How Many Units to Reorder: Size the Repeat to the Season End
The reorder point says when. The season end says how much you should reorder a bestselling hoodie for. A repeat sized to cover only the lead time will run out again almost at once, while one sized to cover the whole season carries the full markdown exposure if demand cools. The simplest method is to count the full-price weeks left after the repeat arrives, multiply by net weekly demand and subtract the stock that will still be on the shelf.
Quantity = net weekly demand x full-price weeks from arrival to season end, less units expected on the shelf at arrival. Here: 250 x 9 weeks (weeks 18 to 26) = 2,250, less 250 = 2,000 units.
That 2,000 units is the maximum the base plan can sell at full price, not a recommendation. Two checks follow. Compare it with the factory minimum for the fabric and colour, because a repeat below the minimum may cost more per unit or may not be possible, which is the subject of our guide to MOQ in clothing manufacturing. Then ask what you would be left holding if demand fades after the order is placed. The next section prices that.
Step 4: Stress-Test Season End and Markdown Risk
A single forecast is one bet. Run the same repeat of 2,000 units against a weaker demand path, a stronger one and a late delivery, then price what each leaves behind. In the cooling case demand falls to 175 units a week from week 10, just after the order is placed. In the hot case it rises to 300. In the late case the repeat arrives three weeks after the plan.
Illustrative stress test of the single repeat order
| Scenario | What changes | Units lost to stockout | Units left at season end | Reading |
|---|---|---|---|---|
| Base | Demand 250 a week, repeat on time | 0 | 0 | Sells through at full price with no buffer left |
| Cooling | Demand 175 a week from week 10 | 0 | 1,275 | Markdown exposure on stock bought for a season that did not arrive |
| Hot | Demand 300 a week from week 10 | 850 | 0 | Repeat too small; stockout from week 17 and lost full-price sales |
| Late | Repeat arrives 3 weeks late | 500 | 500 | Both problems at once: empty weeks, then stock after demand has moved on |
Illustrative arithmetic. Cooling: 2,250 units sold in weeks 1 to 9 plus 2,975 in weeks 10 to 26 = 5,225; supply 6,500; left 1,275. Late: shelf empty after week 18, so weeks 19 and 20 are lost.
The late case is the useful one. A delay does not just cost sales; it also moves stock into the weeks when demand is falling, so a style can stock out and end the season over-stocked in the same plan. The chart totals the units at risk in each case. It counts both lost sales and units left at the end.
Units at risk by scenario, single repeat of 2,000 (illustrative)
Units
Illustrative scenarios from the table above, not a forecast. Units at risk is lost sales plus units left at season end.
To compare the two kinds of risk in money, assume a full-price gross profit of GBP 22 per hoodie, a landed cost of GBP 14 and clearance at a loss of GBP 6 per unit against cost. All three are assumptions, so insert your own. Under those assumptions the hot case loses 850 units x GBP 22 = GBP 18,700 of gross profit. The cooling case leaves 1,275 units, which is GBP 17,850 of landed cost tied up and a GBP 7,650 loss on clearance. The late case combines GBP 11,000 of lost gross profit with a GBP 3,000 clearance loss. Gross profit is selling price excluding VAT minus cost, and gross margin divides that by the selling price excluding VAT; markup divides it by cost, so keep the two separate.
Staged Reorders: When Splitting the Repeat Beats One Order
When the lead time leaves room, a repeat can be split into two tranches with a decision gate between them. In the example the first 1,000 units are ordered at the trigger and the second 1,000 is released at a gate in week 14, arriving in week 22. If the weeks between show demand holding, the second tranche is released. If demand has cooled, it is cancelled.
Illustrative comparison: single order versus staged order
| Case | Single order of 2,000 | Staged: 1,000 now, 1,000 at gate |
|---|---|---|
| Base demand | No lost sales, 0 units left | No lost sales, 0 units left, provided the second tranche arrives in week 22 |
| Cooling demand | 1,275 units left, GBP 7,650 clearance loss | 275 units left, GBP 1,650 clearance loss (second tranche cancelled) |
| Second tranche two weeks late | Not applicable | 250 units lost, GBP 5,500 gross profit |
| What you need agreed | One order, one lot of fabric | Fabric and capacity held for the second tranche, and a factory willing to accept the split |
Illustrative arithmetic on the assumed scenarios. Splitting may change the unit cost or the minimum for a colour, so confirm it with the factory before relying on it.
The staged approach is worthwhile when the cost of leftover stock is larger than the cost of a small-run premium, and when the second tranche can actually be delivered in time. It is less useful close to the season end, where the second tranche has no room to arrive. It is a close relative of the test-and-scale model, which is a risk-reduction approach and not a risk-free one; see our guide to test and scale for how capacity can be agreed before a winner is known, and reducing hoodie overstock for the stock side of the same decision.
Hoodie Reorder KPIs: Weeks Cover, Reorder Point and Lost Sales
Three measures keep the decision honest once it is made. Define each in the trading template, because the same term can mean different things in different systems, and review them against actual repeats so the inputs stay current.
KPIs to monitor on every hoodie repeat
| KPI | Definition and formula | What it tells you | Watch for |
|---|---|---|---|
| Weeks cover | Available stock divided by forecast net weekly demand; state whether it is on hand or includes stock on order | How long the pipeline lasts against the lead time | Forward cover at or below the lead time plus the buffer means a repeat is due now |
| Reorder point | Net weekly demand x lead time in weeks, plus the buffer; compared with the inventory position | The stock level at which the order must go in | A reorder point that has not been recalculated since demand changed |
| Lost sales | Estimated net demand not served: net weekly demand x weeks out of stock, adjusted for backorders | The cost of ordering late, in units and gross profit | It is an estimate; compare with the in-stock rate and customer comments |
Definitions follow common retail planning practice, but they vary by retailer. Confirm how your own system treats reserved, returned and backordered units.
Compare the planned lead time with the actual lead time after every repeat. If actuals drift upwards, the formula is still right but the input is stale, and the reorder point must move before the next stockout. The same applies to the buffer: if it was used up on the last two repeats, it is too small.
Decision Rules and What Evidence Would Change Them
Turn the calculation into a rule that a trading team can apply in a few minutes whenever it must reorder a bestselling hoodie, and write down what would make you override it. The checklist below is a starting template for the weekly review.
A working hoodie reorder checklist
- Net weekly demand is built from returns-adjusted sales, with unmet demand added back and the window stated.
- The inventory position counts only pipeline units with a confirmed ex-factory or sailing date, checked this week.
- Lead time runs from decision to available to sell and is checked against the last few actual repeats.
- The buffer is expressed in weeks and tied to the longest recent delay, not a flat habit.
- The repeat is sized to the season end and then compared with the factory minimum.
- Cooling, hot and late scenarios are priced, including lost gross profit and clearance loss.
- Fabric, trims and capacity for the repeat are confirmed before the purchase order is released.
A starting template. Add your own rules for the size curve and colour split before it goes into a trading pack.
Evidence that should change the decision includes rising returns on the style, a size curve selling unevenly so that some sizes stock out while others sit, a weather turn that moves the expected demand curve, and a lead time the factory cannot confirm. If a style is still unproven, step back from the formula and ask first whether it deserves a bigger buy at all; our guide to which styles deserve a bigger buy covers that decision.
A final question for your next trading meeting: if this hoodie sold at your cooling rate from tomorrow and the repeat landed three weeks late, how many units would you be holding at the end of the selling window, and would you still approve the order today?
How Ruhrose Approaches Hoodie Repeats
Ruhrose develops hoodies, jersey, denim and woven casualwear for UK buyers, with development and production in Bangladesh. We sample before bulk, and on a repeat we start from the questions in this guide: which fabric is available for the colour, what has to be approved again, and what capacity can be held for a style that is selling. We do not quote lead times or minimums in guides, because they depend on the fabric, the colour and the programme, so we confirm them for your specific style. If you want to test a hoodie before committing volume, the test and scale model is a risk-reduction approach, not a risk-free one, and a repeat plan can be discussed alongside the first order.