Fast sales are good until a listing runs out. You do not need an exact-to-the-unit forecast to spot the risk. You need a transparent stock coverage estimate with its assumptions visible.
1. Establish available stock
Choose one SKU and one marketplace. Separate physical stock from units in transit, reserved orders, damaged goods and unavailable listings. Use only stock that can actually be sold. Record the snapshot time and source because different reports may update at different times.
2. Set a sales pace
Compare more than one window, such as the last 7 and 28 days. Check for promotions, seasonality and days when the listing was out of stock. Zero sales while unavailable do not prove zero demand. Orders, completed sales and returns are different events; name the measure you use. Where data is incomplete, show a range rather than a falsely precise date.
3. Compare coverage with replenishment time
Illustrative example: 120 units are available and 8–12 units sell each day. Simple coverage is 10–15 days. If replenishment takes 12 days, the fast-sales scenario runs short before delivery; the slower scenario leaves some stock. These are teaching numbers, not a ProfitVena forecast or customer outcome. Add processing, acceptance and possible delay before deciding whether to accelerate replenishment.
4. Recheck after material changes
Run the check again after a promotion, a large return or a supplier delay. Keep FBO and FBS availability separate because their handling and lead times differ. Our FBO/FBS profit comparison helps put a replenishment decision alongside the SKU economics. Buying solely to improve a coverage number can increase storage and obsolete-stock risk.
ProfitVena helps analyze available sales, stock and costs within connected sources and accounting rules. Completeness depends on source freshness and SKU mapping; verify primary reports before purchasing. Technical updates are at profitvena.ru. ProfitVena belongs to the Wicsora ecosystem. Русская версия.
