A stockout costs more than the sales you miss that week. Your listing loses velocity, your organic rank slips, and the ad spend you were running against that SKU converts to nothing. Recovering rank afterwards routinely takes longer than the stockout itself. Here is why it keeps happening on Amazon India, and how to make replenishment a decision rather than a guess.
Units on hand tells you nothing about how long they will last. Two SKUs with 300 units each are in completely different positions if one sells 4 a day and the other 40. Without sell-through, every restock decision is a guess dressed up as a number.
Shipments already in transit are easy to forget, so sellers either double-send and tie up cash, or hold back and stock out anyway. What matters is on-hand plus pending, not on-hand alone.
The relevant question is not whether you have stock today. It is whether you will have stock on the day the next shipment can realistically arrive and be checked in. Amazon India's receive times vary enough that this gap is where most stockouts are actually born.
Amazon scatters your inventory across fulfilment centres, and demand is not uniform across them. A network-level total hides the specific centre that is about to run dry.
Upload the Inventory Ledger CSV from Seller Central, or connect SP-API and let it sync on a schedule. Unilytic reconstructs the full movement history per SKU, per fulfilment centre, per disposition — the actual record of what moved where, not a snapshot of this morning.
Every SKU gets a days-of-cover figure from its own sales velocity rather than a shared rule of thumb. The dashboard then splits your catalogue into Out-of-Stock, Low-Stock and Excess, so the SKUs that need attention today separate themselves from the ones that do not.
Future Stock nets on-hand against shipments already in transit, so a SKU with a delivery arriving on Thursday is not flagged as urgent on Wednesday. This is what stops the double-send that quietly eats working capital.
The output is a number you can act on: this SKU, this many units, this fulfilment centre. Tune days-of-stock-to-send, round-up multiple and minimum out-of-stock quantity to match how you actually ship — carton multiples included.
Automated email and Slack alerts fire on low-stock and out-of-stock conditions, so replenishment stops depending on somebody remembering to open a dashboard on a busy morning.
As far ahead as the SKU's own velocity allows. Each SKU shows days of cover based on its recent sell-through, so a product with 9 days left is visible as such today rather than on the morning it hits zero. Set your low-stock threshold to comfortably exceed your usual shipment lead time and the warning always arrives with room to act.
A CSV is enough. Export the Inventory Ledger from Seller Central and upload it — no Amazon connection required. SP-API is optional and only removes the manual export step by syncing on a schedule. The calculations are identical either way.
From your parameters, not a black box. You set the days of stock to send, a round-up multiple so quantities match your carton sizes, and a minimum quantity for out-of-stock SKUs. Unilytic applies those to each SKU's velocity and current position, including stock already in transit. Defaults work out of the box and most sellers tune them within the first week.
Yes. Local warehouse stock is tracked alongside FBA and netted against pending shipments, so recommendations reflect what you can actually ship rather than treating your own inventory as invisible.
It cannot undo lost rank — nothing can. What it does is stop the repeat. The Analytics warehouse grid shows exactly which fulfilment centres ran dry and when, so the same SKU does not go down the same way next quarter.
The full mechanics of how send quantities are calculated per SKU and per warehouse.
See the send list Feature30-day SKU history, per-warehouse grids and Future Stock projections.
Explore analytics Use caseWhen one fulfilment centre is empty and another is overstocked with the same SKU.
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