jaygptpro Q4 Restock War Room
Q4 is where the year is won or lost. October through December delivers 30-40% of annual revenue for most sellers. FBA receiving slows from 5 days to 14-21 days during peak. Container ports add another 7-10 days of unpredictability. The standard "30-day cover" restock model breaks every Q4. A war-room plan adds the right buffers and pre-stages FBM as a safety net. The cost of stocking out on Black Friday is not just lost sales, it is permanent BSR damage that takes 6-8 weeks to recover.
When to use this
- August 1st, kicking off Q4 planning
- October cover check, deciding emergency air-freight or FBM
- A SKU is forecasted to peak 3x normal velocity in November
- Multiple SKUs sharing a container with mixed Q4 demand profiles
The framework. The Q4 War-Room Plan
Q4 demand = (Last-year peak monthly velocity x YoY growth x 1.4 peak buffer)
Order quantity = Q4 demand + lead time cover + inbound delay buffer
Inbound delay buffer by month received
| Receiving month | Buffer days to add |
|---|---|
| August | 0 |
| September | 7 |
| October | 14 |
| November | 14 |
| December | n/a (too late for FBA) |
FBM fallback triggers
If FBA cover drops below 14 days by Nov 20, activate FBM:
- List FBM offer at +8% price (covers FBM fulfillment cost)
- Pre-stage 30 days of inventory at 3PL or home
- Switch buy box back to FBA when restock arrives
Peak velocity multipliers (vs Q3 baseline)
Event dates move every year. Confirm the current-year dates in Seller Central and map each multiplier to the right week.
| Event | Velocity multiplier |
|---|---|
| Prime Big Deal Days (early-to-mid October, confirm yearly) | 1.8x baseline for that week |
| Black Friday week | 2.5-3.5x baseline |
| Cyber Monday | 2.0x baseline |
| Early December (Christmas push) | 1.6x baseline |
| Late December (last-mile rush) | 0.9x (shipping cutoffs and carrier capacity throttle late-arriving orders) |
Step by step
Pull last year's Q4 sales by SKU by week. Business Reports. Note the weekly peak.
Apply YoY growth assumption. Use trailing 90-day YoY for the same SKU. Default 1.15x if no data.
Apply 1.4x peak buffer. Q4 is more volatile than Q3, undershoot kills.
Calculate inbound delay buffer per month. Add to lead time per the table.
Build the reorder calendar. Confirm the current-year event dates first, then place PO dates so units land at FBA with cover ahead of each event:
- about 1 week before the fall Prime event (early-to-mid October, confirm yearly)
- about 3 weeks before Black Friday
- by late November for early-December coverage
Set the FBM trigger thresholds. For each SKU, calculate the FBA-cover day count that triggers FBM activation. Pre-stage FBM inventory by Nov 1.
Build the dashboard. Weekly check-in: FBA cover days, sell-through rate vs forecast, time-to-FBM-trigger.
Run the quality check, then circulate to ops and finance.
Output format
## Q4 War Room Plan. [Account]
**Per-SKU summary**
SKU | Last-yr peak/wk | YoY growth | Buffered Q4 demand | FBM trigger day
[rows]
**Reorder calendar**
Week of [date] | SKU | Order qty | PO ship date | Expected receive date
[rows for August through November]
**FBM fallback inventory**
SKU | FBM units to pre-stage | Location | Activation trigger
[rows]
**Weekly check-in metrics**
- FBA cover days (target: >= 21)
- Sell-through vs forecast (target: 90-110%)
- Days to FBM trigger (alarm if <= 7)
Worked example
SKU: pet brush, last-year Nov peak = 320 units/week. YoY growth = 1.22x. Peak buffer 1.4x. Q4 weekly peak forecast = 320 x 1.22 x 1.4 = 547 units/week. November total Q4 demand = 4 weeks x 547 = 2,188 units.
Lead time supplier ship to FBA = 35 days normal. November receiving buffer adds 14 days. Total lead time = 49 days. PO must ship by Sept 12 to land at FBA by Nov 1.
FBM trigger: at peak 547 units/week, 14-day cover = 1,094 units. When FBA inventory drops below 1,094 units after Nov 20, list FBM offer. Pre-stage 600 units (30 days FBM cover) at 3PL by Nov 1. Cost: 600 x $2.40 storage = $1,440 insurance against $0 stockout. Worth it.
Skipping this plan = stockout Nov 26 historical pattern = 4 days dark = 4 x 547 x $9 margin = $19,692 lost plus 6-8 weeks BSR recovery.
Quality check
- Last-year data is week-level, not month-level (smoothing hides peaks)
- YoY growth uses trailing 90 days, not full-year average
- Inbound buffer aligned to receive month, not ship month
- FBM trigger numerically defined per SKU, not "we will watch it"
- Reorder calendar shows PO ship dates, not just receive dates
Common mistakes
- Using 30-day cover. Standard restock formula. Stocks out in Q4 every time.
- Ignoring receiving delays. FBA appointment slots fill up Oct-Dec. Plan adds 14 days.
- No FBM fallback. When FBA stocks out without FBM, BSR collapses. Recovery is 6+ weeks.
- Forecasting in months, not weeks. A monthly forecast hides the 3x Black Friday week spike.
- One YoY growth number for all SKUs. Seasonal SKUs grow 2x, evergreen 1.1x. Forecast per SKU.
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