One read on your quick-commerce reality — you, your rivals, every dark store.
Your seller panel shows your own numbers, one platform at a time. X-Ray adds the two layers it can't: your competitors, and the full per-store variance the national average hides. Organised around the three jobs a q-commerce team actually does. Every figure below uses a sample brand.
Never go out of stock — anywhere you sell.
Every SKU × every dark store, as in stock / low / out / not-listed. Read the capped shelf signal honestly — it's a stockout warning, not a unit count — and switch cities to see coverage store by store.
- Out-of-stock and low-stock, ranked by the stores that matter
- Coverage heatmap by area, per city
- Distribution gaps: absent where the category runs deepest
Win the click on the shelves you share.
Where your rank is weak because the listing is weak, and where a rival is advertising on your own brand name — the highest-intent keyword you own, which your ad panel will never show you.
- Brand-term conquest defense, store by store
- Near-miss ranks (#4–8) one nudge from top-3
- Price position & rating vs your relevant rivals
Know where to grow next — with proof.
The platforms you're absent from where your category already sells, the dark stores worth expanding into, and the ad lanes with proven demand and nobody bidding.
- New platforms to launch on, ranked
- New dark stores to expand into, by opportunity
- Uncontested ad lanes & keyword whitespace
Your rank & rivals' ads, in every dark store.
The "how do you have this data" view: organic rank and competitor ad ownership at each fulfilment node, keyword by keyword — measured, never self-reported. Shared across all three hubs.
- Rank tier per store, per keyword
- Which rival owns each sponsored slot
- Delivery ETA per store
Two measured scores, and where to focus.
How well you perform where you already sell, and how much shelf is still open — both computed from the live read, never self-reported. Each score comes with its highest-impact fixes and how to do them.
See it on your own brand.
Type your brand, verify with your brand email, and get the report — nothing to connect.
What it surfaces, with real examples
Every figure below came out of the product itself, reading 486 dark stores across three platforms in two cities. The full write-ups are at The Dark Store Index.
- Ad ownership you cannot otherwise see. One brand holding 240 sponsored placements in a single Instamart category — 66% of everything paid there. Its competitors had no way of knowing that before bidding.
- Uncontested stores. 10 of 81 Blinkit store-searches with no advertiser at all — the same in both cities we read. Instamart: zero of 81 in both. Zepto: zero in Bengaluru, 18 of 81 in Delhi.
- Structural platform differences. Instamart averaged 21 distinct brands per search, Blinkit 19, Zepto 10 — three different competitive environments for the same product.
The point is not the specific numbers, which change daily. It is that all three are invisible from inside a seller account, including your own, because they describe what a shopper sees rather than what you sold.