Question 1

When should a clothing brand reorder a best-selling product?

Accepted Answer

Reorder when your inventory position reaches the point where expected sales during the replenishment cycle consume what you have left — not when the shelf is nearly empty. Waiting until a bestseller is nearly sold out feels disciplined and is usually the most expensive choice available, because garment manufacturing cannot respond in days. The trigger should be a number computed from velocity and cycle time, and it should be visible on a dashboard rather than noticed by chance. Compute it per SKU: reorder point = average daily sales × total lead time in days + safety stock . Example, with assumptions stated: a hoodie sells 20 units/day , total cycle is 25 days (production 20–35 days at the short end, QC and packing 3, plus express air freight rather than ocean — the mode choice is part of the assumption) → expected demand during the cycle = 500 units. With safety stock of 15% for demand variability and production slippage, trigger at roughly 575 units remaining. Assumptions that must be checked: "average daily sales" should be a trailing 14–28 day average from a comparable period, not a launch-week spike or a promo week; the lead time must be door-to-door (production + QC + freight + clearance + receiving), not the factory's production days; and safety stock should scale with your historical forecast error and with how variable the supplier's actual delivery has been. Two refinements for apparel: reorder at SKU level , because a best-selling style usually needs M and L replenished while XS and XXL still have stock; and use inventory position, not physical on-hand — on-hand plus inbound minus open orders. If the arithmetic says you should already have ordered, the fix is not a faster factory, it is a standing reorder rule so this never depends on someone noticing. Evidence. The reorder-point formula above is standard inventory practice; the apparel-specific finding is that failures come from process, not suppliers — Gruen and Corsten's out-of-stock research attributes 70–90% of stockouts to internal replenishment and process gaps rather than upstream supply failure. BoF–McKinsey State of Fashion 2025 adds that out-of-stock sizes is the top shopper complaint , that inaccurate size-level purchasing costs up to 20% of monthly profit on average , and that supply disruptions such as Suez Canal delays can extend lead times by about 30% — a direct reason to use measured door-to-door lead times and to size safety stock against observed variability. Real case: Lululemon attributed slower US growth in Q1 2024 partly to insufficient inventory and stockouts in smaller women's sizes. Supply-side constraint: Dancing Leopard's chairman cited the inability to top up bestsellers because factories required bigger follow-on orders as a driver for switching production models.

Question 2

How can clothing brands calculate when to reorder inventory?

Accepted Answer

Use reorder point = average daily sales × lead time in days + safety stock, computed per SKU, using inventory position rather than warehouse count. The formula is simple; the errors are almost always in the inputs. Three of them matter more than the arithmetic. Input 1 — the sales rate. Use a trailing average over a window that matches your reorder frequency (14–28 days is typical), and exclude promo and launch spikes, or you will reorder into a temporary peak. If demand is trending, use the trended rate, not the average. Input 2 — the lead time. This is the full door-to-door cycle: fabric/trim prep if not held, bulk production, QC and packing, freight, customs clearance, and warehouse receiving. A factory quoting 20–35 days production is not quoting a 20–35 day lead time; with ocean freight and clearance the real figure is commonly 50–75 days for US/EU delivery. Using the production number alone is the single most common cause of reorder-point failure. Input 3 — safety stock. Size it to variability, not to a percentage rule: if you want ~95% service level and your weekly demand standard deviation is σ, a common approximation is safety stock ≈ 1.65 × σ × √(lead time in weeks) ; if that is too much machinery, use your worst observed deviation over the last two cycles as the buffer and state it as an assumption. Then use inventory position (on-hand + inbound − open customer orders), because a brand with 400 units on hand and 300 inbound is in a completely different position from one with 400 and nothing coming. Recompute whenever velocity or the supplier's actual delivery time changes — the reorder point is a planning tool, not a fixed setting. Evidence and standards. Reorder-point and safety-stock calculation is standard inventory-management practice; the service-level form above (z × σ × √L) is the conventional approximation for demand variability during lead time. Why the lead-time input dominates in apparel: BoF–McKinsey State of Fashion 2025 notes complex routing across retailers, brands and manufacturers produces long lead times with limited flexibility , and that disruptions such as Suez Canal delays can extend lead times by about 30% . For contrast, ultra-fast-fashion players have compressed speed-to-market to as little as 15 days — which is what makes a low reorder point survivable for them and unwise for a brand on a 60-day cycle. Inspection timing: QC before shipment follows ISO 2859-1 / ANSI ASQ Z1.4 AQL sampling; a failed inspection adds a rework cycle that must be inside the lead-time assumption. Related: Issue 07 — Quality, Price & Lead Times.

Question 3

How does manufacturing lead time affect inventory planning?

Accepted Answer

Lead time sets both your safety stock and how early you must decide — and the planning mistake is using the factory's production days as the lead time. Every day in the cycle is a day of demand you must cover from stock you already own, so lead time and inventory are linear: double the cycle and you roughly double the coverage you need to hold for the same service level. Decompose the cycle honestly: (1) fabric and trim preparation — zero if the fabric is held stock or already reserved, weeks if it is a custom knit or a speciality weight; (2) sampling and approval — needed for a new style, largely skipped on a true repeat with a confirmed PP sample and locked spec; (3) bulk production ; (4) QC and packing ; (5) freight — ocean versus air is often a 20–30 day difference; (6) customs clearance and warehouse receiving . For a China-to-US/EU programme this commonly totals 50–75 days on ocean and 25–40 days on air for the same factory. What this means in planning: (1) the reorder trigger must be set on the full cycle ; (2) shortening any single stage is worth real money — cutting sampling out of a repeat, or holding fabric, removes weeks of required coverage; (3) mode choice is an inventory decision — paying for air freight on a proven bestseller can cost less than the carrying cost plus stockout cost of waiting for ocean; (4) the supplier's actual performance history is the input , not the quoted range. Two questions worth asking any factory before you plan around it: what is the repeat-order lead time on an approved style , and will you hold or reserve fabric . DOLUXE runs bulk in 20–35 days and samples in 3–15 days , and confirms the current line position at enquiry so the plan uses real availability rather than a nominal range. Evidence. BoF–McKinsey State of Fashion 2025 explicitly identifies long lead times with limited flexibility from complex routing as a root cause of both excess stock and stock-outs, and quantifies disruption risk: Suez Canal delays can extend lead times by around 30% . The same report notes ultra-fast-fashion players have cut speed-to-market to as little as 15 days , and that social commerce (a fifth of US customers bought clothing through it in the prior 12 months) compresses demand peaks — so the penalty for a long, rigid cycle is rising. On the other side, ReadyRatios' US-listed-company data shows apparel inventory turnover at 154 days in 2025 versus 122 in 2023: sector-wide, brands are being pushed to hold more coverage. Standards: inspection before shipment follows ISO 2859-1 / ANSI ASQ Z1.4 ; delivery-term allocation of freight and duty follows Incoterms 2020 .

Question 4

Should clothing brands reorder small quantities or buy in bulk?

Accepted Answer

Bulk for proven, stable SKUs where the price saving exceeds the carrying cost; small batches for anything whose demand you still do not know. The comparison is not unit price against unit price — it is the bulk saving against the cost of holding the extra units for as long as they sit . Make it arithmetic. Suppose 500 units at $14.50 versus 100 units at $18.00 (typical small-batch premium from setup, marker and cutting inefficiency, and fabric minimums). Bulk saves $3.50/unit , or $1,750 on 500 units. But if only 200 of those 500 sell within six months, you are holding 300 units × $14.50 = $4,350 of stock for roughly half a year at 18–30% annual carrying cost — about $390–$650 — plus the eventual markdown. On those assumptions bulk still wins; change the assumption so only 100 sell in six months and the carrying cost plus markdown easily exceeds the $1,750 saved. The decision therefore depends on two inputs you can estimate: how confident is the demand , and how long will the excess sit . Rules that follow: (1) bulk where velocity is stable and the SKU is a multi-season basic ; (2) small batches where the SKU is new, seasonal, or trend-exposed ; (3) always bulk the fabric, not necessarily the garment — buying an extra fabric roll is cheaper than buying finished stock, because fabric is convertible into whichever size and colour is actually selling; (4) check whether the factory's MOQ is per style, per colour, or per order , because that determines whether a mixed capsule can reach a bulk price at all; (5) price the flexibility — a 20% unit premium on a 50 pc reorder is often cheaper than a 30% markdown on 300 unsold units. Evidence and benchmarks. Carrying cost used above (18–30% of inventory value per year) is the operator benchmark cited in apparel inventory coverage; apparel overstock is estimated at 20–40% of production , and only about 60% of fashion inventory sells at full price . On the MOQ constraint: Dancing Leopard's chairman cited high MOQs leaving large quantities of stock when a print did not land, and inability to top up bestsellers because factories required bigger follow-on orders, as reasons for switching to on-demand production in batches of 100–200 pieces . On the value of responsive capacity: BoF–McKinsey State of Fashion 2025 reports Hugo Boss reduced inventory-to-sales ratio by 3.4% year on year by mid-2024 while investing in digital and supply-chain capability, and ASOS targeted 10% of own-brand product on test-and-react. DOLUXE's minimums — 50 pcs custom / 20 pcs blanks — exist so a brand can buy the learning quantity rather than the season.

Question 5

How can clothing brands reduce stockouts during restocking?

Accepted Answer

Set a standing reorder rule per SKU, pre-agree the production path, and reserve the bottleneck material — then monitor the inbound shipment like a project, not like a parcel. Restocking stockouts are almost never a demand-forecasting failure. They are a timing failure: the trigger fired late, the reorder had to restart development, or the fabric was not available when needed. Six actions, in the order they pay off: (1) automate the trigger — a reorder point per SKU, recomputed weekly, with an alert at the trigger and a second alert at 50% of safety stock; relying on someone noticing is the root cause in most small brands; (2) pre-agree the repeat — confirm with the factory, before you need it, that a repeat of this style can start at X pcs in Y days with the approved PP sample as reference, so a reorder is not a new development cycle; (3) reserve or pre-book the fabric — for custom or heavyweight fabrics this is usually the longest pole, and a reserved roll converts a 70-day cycle into a 30-day one; (4) split the mode — ocean for the bulk of the reorder and air for the first cartons if a launch date is at risk; (5) track inbound as inventory position — on-hand plus inbound minus open orders, updated when the shipment actually clears, not when it leaves the factory; (6) keep one cycle of safety stock on the SKUs that are both fast and predictable , and deliberately none on slow or volatile ones. Finally, segment: a basics programme should be on automatic replenishment with a reorder point and a reserved fabric; a drop-based fashion programme should accept selling out as a design choice, not treat it as a failure. The manufacturing prerequisites are a low repeat MOQ, a locked and documented spec, and a factory that will reserve capacity or material — DOLUXE supports all three, with AQL 2.5 inspection before shipment so the reordered goods match the approved sample. Evidence. The internal-cause finding is the key one: Gruen and Corsten's out-of-stock research attributes 70–90% of stockouts to internal replenishment and process gaps , not supplier failure — so the fix is process design. BoF–McKinsey State of Fashion 2025 confirms the commercial cost: out-of-stock sizes is the top shopper complaint , inaccurate size purchasing costs up to 20% of monthly profit on average , about two-thirds of shoppers (AlixPartners 2024 holiday survey) will buy elsewhere when an item is unavailable , and Lululemon cited smaller-size stockouts in its Q1 2024 US slowdown. Supply-side: the same BoF–McKinsey report notes Suez-type disruptions can extend lead times ~30% , which is why inbound must be monitored and safety stock sized to observed variability. Inspection standard: ISO 2859-1 / ANSI ASQ Z1.4 ; bulk-to-sample consistency is covered in Issue 09.

Question 6

How should brands plan inventory for repeat orders?

Accepted Answer

Treat a repeat as a data problem, not a photocopy: re-derive the quantity and the size/colour split from what actually sold, and confirm the spec has not drifted. The two ways brands lose money on repeats are reordering the same quantity because it worked once, and reordering the same size split because it is what the first order used. Before placing the repeat, work through: (1) sell-through and velocity by SKU — not by style; take units sold per week and remaining days of supply; (2) the corrected size curve — rebuild it from sold units of the previous run, because a first order's curve was a guess and the sold data supersedes it; (3) the corrected colour split — the same logic, and consider dropping the weakest colourway entirely rather than repeating it at parity; (4) what changed — price, channel, season, marketing, competitor activity, and whether the product is entering or leaving its season; (5) returns and QC history — a high return rate or a fit complaint should change the pattern, not just the quantity; (6) spec confirmation — verify fabric lot, GSM, colour standard, measurements and finishing still match the approved sample; on a repeat this is fast, but skipping it is how bulk drifts from the sample; (7) the production terms — confirm MOQ, repeat lead time, and whether the fabric is still available from the same lot (dye-lot variation is a real risk on repeats, and colour should be assessed against a standard such as ISO 105-J03 or measured with AATCC 173 ). A well-run repeat should be cheaper and faster than the first order, because development is amortised — if your factory quotes the same sampling time and the same MOQ for a repeat as for a new style, that is worth questioning. Evidence and standards. Re-deriving size and colour splits from sold data is the direct remedy for the error BoF–McKinsey State of Fashion 2025 quantifies: inaccurate size-level purchasing is estimated to cost up to 20% of monthly profit on average , with out-of-stock sizes the top shopper complaint. Spec-drift controls: fabric weight to ASTM D3776 / ISO 3801 ; dimensional change to AATCC 135 / ISO 6330 ; colour assessment to ISO 105-J03 and computer colour matching to AATCC 173 ; spirality to ISO 16322-1 ; inspection to ISO 2859-1 / ANSI ASQ Z1.4 . Consistency in bulk: bulk-versus-approved-sample questions are covered in Issue 09 and Issue 08; heavyweight fabric behaviour across runs in Issue 01.

Reordering: Timing, Quantity and Lead Time

Replenishment & Production Planning

Q19When should a clothing brand reorder a best-selling product?

Q20How can clothing brands calculate when to reorder inventory?

Q21How does manufacturing lead time affect inventory planning?

Q22Should clothing brands reorder small quantities or buy in bulk?

Q23How can clothing brands reduce stockouts during restocking?

Q24How should brands plan inventory for repeat orders?

Planning an order against these numbers?

Sources & Further Reading

From the DOLUXE Journal

Related DOLUXE Q&A issues