Spike-ready stock positioning
We hold a deliberate buffer on the SKUs most likely to move, positioned where it can dispatch fast, and we size that buffer against what a realistic spike looks like rather than a wish.
Stock positioned before the spike, dispatch fast enough to hold seller metrics, and a plan for what happens when a SKU does ten times its normal volume.
TikTok Shop demand does not arrive as a curve. It arrives as a wall, usually on a SKU nobody planned for, sometimes overnight, and often because a creator you do not have a contract with mentioned it.
The failure is always the same shape. You sell through the position in two days, dispatch times slip because the 3PL was not told to expect it, late shipment rate climbs, and the channel throttles your visibility exactly when demand is highest. By the time replenishment lands, the moment is over.
The other half of the problem is the aftermath: whatever you panic-ordered arrives four weeks later into demand that has already collapsed, and now it is dead stock.
We hold a deliberate buffer on the SKUs most likely to move, positioned where it can dispatch fast, and we size that buffer against what a realistic spike looks like rather than a wish.
Your 3PL or FBM operation is briefed ahead of campaigns and creator pushes, with cut-off times and capacity agreed in advance instead of discovered on the day.
Late dispatch rate, cancellation rate, and fulfillment defects are monitored daily during a spike, because these are the metrics that decide whether the platform keeps showing your product.
When demand normalises, we decide what to do with the remaining position: hold, reallocate to another channel, or clear it. Deliberately, and while it still has value.
A viral SKU usually also sells on Amazon and your own store. We decide where the units go once, centrally, rather than letting whichever channel ships first win.
The planning behind this is the same forecasting and allocation work we publish on, including how seasonal brands model demand they cannot predict from an average, and how to keep multiple channels in sync from one stock position.