Use a low MOQ resort wear reorder trigger worksheet
· Development · Aloha & Co Editorial Team
Build a reorder trigger worksheet that turns weekly sell-through, stock cover, MOQ, fabric, approvals, production, and freight into one action date.

Summary. McKinsey expects low single-digit fashion growth in 2026, while supplier examples show replenishment can range from ready-fabric speed to 8-12 week delivery. A reorder worksheet keeps low MOQ resort wear decisions tied to current stock, fabric, and approval facts.
Key Takeaways
- Use weekly sell-through at style and size level, not only total units, because Shopify defines STR as total sales divided by stock on hand times 100.
- Track stock cover with saleable inventory divided by average weekly sales, using actual and forecasted weeks of supply when both are available.
- Keep MOQ rules separate from size splits because supplier examples apply MOQ per style, per color, or mixed within a style-level minimum.
- Put fabric, approval, production, QC, and freight into separate date fields so ready-fabric reorders are not planned like special-fabric reorders.
Direct Answer
A low MOQ resort wear reorder trigger worksheet should check weekly sell-through, stock cover, size gaps, fabric reservation status, supplier MOQ structure, production lead time, freight time, and last approval date. Use it to calculate when a reorder must be approved before a winning style sells through or loses reserved fabric.
Worksheet Purpose
A low MOQ resort wear reorder trigger worksheet is a weekly operating sheet. It shows whether a style has enough sales velocity, saleable inventory, size coverage, fabric access, and supplier time to justify a small reorder.
McKinsey's 2026 fashion outlook says 46 percent of executives expected industry conditions to worsen in 2026, while 25 percent expected improvement, and global fashion growth was projected in the low single digits. For low MOQ resort wear, the reorder decision has to avoid carrying weak inventory and missing a proven selling window.
Review the worksheet on the same weekday during launch, resort season, wholesale delivery, or hotel replenishment periods. Use one row per style-color, with size columns when size curve matters. If a field cannot be tied to current sales, saleable inventory, supplier confirmation, or freight quote, mark it "not visible".
Start With Sell-Through and Stock Cover
Shopify defines sell-through rate as total sales divided by stock on hand, multiplied by 100. For short-life or seasonal fashion drops, Shopify suggests aiming for greater than 80 percent STR within the launch window.
Those figures are guidance, not a universal resortwear reorder threshold. The worksheet should carry weekly STR by style-color and important size. A style can look healthy in total while the strongest size is gone.
Use stock cover beside STR. Oracle defines Actual Weeks of Supply as saleable inventory divided by total average weekly sales, and Forecasted Weeks of Supply as saleable inventory divided by forecasted average weekly sales. In the worksheet, that creates three fields: saleable inventory, weekly sales run rate, and weeks of supply. Reorder review starts when sales are strong and remaining weeks of supply are shorter than the confirmed replenishment path.
Check Size Gaps Against MOQ Rules
The evidence does not support a universal count of missing sizes that should trigger a resortwear reorder. The worksheet should ask whether missing sizes are core to the brand's size curve, wholesale profile, and service-level policy.
MOQ must be written exactly as the supplier states it. Dani Fashion Bali publishes an MOQ of five pieces per style and per color. Fabrickly publishes a 50-piece minimum per style, with sizes and colorways mixable within that 50.
Record whether MOQ applies to each style, color, print, size assortment, or total PO. The worksheet should calculate the smallest reorder that restores the size curve without forcing excess units into slow colors.
Separate Fabric From Production Time
Fabric status is a trigger field because replenishment speed can change before the PO changes. NewLeaper states sample timing of 1-4 weeks, 10 days to create a new color, 1-4 weeks to receive raw materials, 3-4 weeks of production after full approval, and up to 10 weeks for special fabrics.
Fabrickly's published path is different: 8-12 weeks from approved sample to bulk delivery, with approval in week 4, bulk production in weeks 5-10, and QC plus shipping in weeks 11-12.
The worksheet should split date logic into fabric reservation, material receipt, production after approval, QC or packing, freight route, and last buyer approval date. Ask the supplier to reconfirm ready fabric, reserved quantity, reservation expiry, color availability, and usage terms.
Calculate the Last Safe Approval Date
The reorder trigger becomes useful only when it converts sales and supply facts into a decision date. Start with the estimated stockout week from stock cover. Subtract supplier production time, material receipt time if fabric is not ready, QC or packing time, freight time, and the buyer's approval process.
No authoritative universal approval buffer was visible in the evidence pack. The worksheet should carry a buyer-specific buffer for payment, signoff, fit comments, lab dips, strike-offs, holidays, and supplier booking rules.
For resort wear manufacturers for startups, approve only when weekly demand, stock cover, available fabric, MOQ structure, and delivery timing all point to the same action. If one field is missing, the sheet should show the blocker.
Buyer-Ready Worksheet Columns
A compact worksheet can fit on one tab: style, color or print, launch stock, saleable inventory, weekly units sold, weekly STR, weeks of supply, missing core sizes, reorder size curve, MOQ rule, fabric reservation, production time, freight route, approval buffer, last safe approval date, and decision.
Use Aloha & Co's current read as manufacturing context: small resortwear runs need dates and constraints visible early because fabric, color, print, and approval timing can matter as much as unit count. The worksheet should tell a buyer whether to reorder now, wait one week, reduce the size curve, request fabric hold terms, or drop the reorder.
Buyer Comparison
| Column | What to enter | Buyer decision |
|---|---|---|
| Weekly STR | Sales divided by stock on hand times 100 | Check velocity by style and size |
| Stock cover | Saleable inventory divided by average weekly sales | Compare cover with replenishment time |
| Size gaps | Missing core sizes against the brand size curve | Reorder only useful units |
| MOQ rule | Per style, color, print, size set, or total PO | Avoid assuming one universal MOQ |
| Fabric status | Reserved quantity, expiry, color, and material receipt time | Confirm before setting a date |
| Lead time | Approval, production, QC, freight, and buyer buffer | Calculate last safe approval date |
Buyer Questions
What should a low MOQ resort wear reorder trigger worksheet include?
Include weekly sell-through, saleable inventory, weeks of supply, missing core sizes, MOQ rule, reserved fabric, production time, freight time, approval buffer, and last safe approval date.
Is there a universal weekly sell-through trigger for resort wear reorders?
No. Shopify provides STR guidance, including greater than 80 percent for short-life seasonal drops, but the evidence does not support one universal resortwear threshold.
How should buyers calculate stock cover?
Use saleable inventory divided by average weekly sales. Oracle defines actual weeks of supply with total average weekly sales.
Why does MOQ need its own worksheet field?
Supplier examples differ. Dani Fashion Bali states five pieces per style and color. Fabrickly states 50 pieces per style, with sizes and colorways mixable within that 50.
How should buyers set the approval deadline?
Work backward from estimated stockout week, then subtract supplier-confirmed material receipt, production, QC, freight, and internal approval time.
Sources
- https://www.mckinsey.com/industries/retail/our-insights/state-of-fashion
- https://www.mckinsey.com/industries/retail/our-insights/state-of-fashion-2025
- https://www.shopify.com/uk/blog/sell-through-rate
- https://docs.oracle.com/cd/E78494_01/aip/pdf/wrp/132/aip-wrp-132-ug.pdf
- https://newleaperproduction.com/
- https://danifashionbali.com/
- https://fabrickly.com/clothing-manufacturer/