Stockouts cost more than lost sales — they waste ad spend, kill ranking, and end live sessions mid-stream. DataGlass forecasts stockout days against demand and recommends restocks before the next campaign window.
What sellers see
A SKU sells out mid-campaign. Ads keep spending on an unavailable listing. Ranking drops. The next live event runs without the hero product.
- Hero SKUs running out during high-traffic windows (11.11, 12.12, Pay Day)
- Ads still spending on listings that have gone out of stock
- Slow-moving SKUs absorbing capital that could fund bestsellers
- Stock spread across multi-shop, multi-platform without a unified view
What DataGlass detects
DataGlass projects stockout days per SKU against current sell-through, scheduled campaign windows, and live-commerce velocity, with stock unified across shops.
- Stockout-day forecast per SKU vs. the next campaign window
- Slow movers tying up working capital
- Cross-platform inventory mismatches (overselling risk on canonical SKUs)
- Listings with active ad spend on out-of-stock or near-stockout SKUs
Recommended actions
Restock and reallocation moves ranked by their margin impact, not just stock level.
Restock by margin priority
Reorder the SKUs whose stockout would cost the most contribution margin first.
Reallocate stock across shops
Move inventory from low-velocity to high-velocity shops within the same brand.
Pause ads on near-stockout SKUs
Stop wasting ad spend on listings that will go out of stock before the spend pays back.
Liquidate slow movers
Surface SKUs whose holding cost exceeds the realistic profit of waiting them out.
Frequently asked questions
Does DataGlass forecast around campaign days?
Yes. The stockout-day model accounts for scheduled campaign windows (11.11, 12.12, Pay Day, Lazada flash sales) and TikTok Shop live events that historically lift demand on specific SKUs.
Can DataGlass unify stock across shops?
Yes. The canonical product catalog binds the same product across Shopee shops and platforms so inventory state is one number, not per-listing. Opt-in writeback keeps Shopee total_stock in sync.
Does DataGlass auto-create purchase orders?
Not yet. DataGlass surfaces a ranked restock list with the recommended quantity and lead time; PO creation is on the roadmap.
Related concepts
- Stockout Inventory hitting zero on a SKU customers want to buy. Lost revenue, wasted ad spend, and a ranking penalty that outlasts the restock.
- Contribution margin Revenue minus every variable cost of selling one more unit — the profit each sale actually contributes after fees, ads, and fulfillment.
