How Actowiz measured how much a brand's available catalog varies dark-store to dark-store across pincodes — turning assortment variance into a precise map of distribution gaps.
A brand needing to measure how much its available assortment varies pincode-to-pincode (dark-store to dark-store) on q-commerce, to pinpoint distribution gaps.
Actowiz measured assortment variance across pincodes — how much a brand's available catalog differs dark-store to dark-store — turning that variance into a precise map of where distribution had gaps. The same brand can show a different available assortment from one pincode's dark store to another's: a hero SKU stocked in one zone can be entirely absent in the next, a distribution problem hiding as an availability quirk. By comparing each pincode's catalog against a brand baseline and computing coverage % and missing SKUs, Actowiz produced a distribution-gap map that became the client's stocking to-do list.
The client discovered that its q-commerce catalog was not uniform: the same brand shows a different available assortment from one pincode's dark store to another's. A hero SKU stocked in one zone can be entirely absent in the next — a distribution problem hiding as an availability quirk.
Actowiz measured assortment variance across pincodes — how much the available catalog differs dark-store to dark-store — turning that variance into a precise map of where the brand's distribution had gaps.
Actowiz built a pincode-level assortment-variance pipeline, comparing each dark store's available catalog against a brand baseline.
| Attribute | Description |
|---|---|
| Brand / SKU | Brand and product |
| Pincode / Dark Store | Location context |
| City | City |
| Available | Present / absent at that dark store |
| Assortment Coverage % | Share of baseline present |
| Missing SKUs | SKUs absent vs baseline |
| Scrape Date | Cycle date |
| Metric | Value |
|---|---|
| Service | Distribution / Assortment Intelligence |
| Region | India — multi-pincode |
| Focus | Dark-store assortment variance |
| Metric | Assortment coverage % vs baseline |
| Granularity | Brand × SKU × pincode |
| Cadence | Recurring |
| Output | Variance / distribution-gap dataset |
"We assumed our catalog was the same everywhere. Actowiz showed our own hero SKUs missing from entire pincodes. That variance map became our distribution to-do list."
— Distribution Head, FMCG Brand
A: How much a brand's available catalog differs from one pincode's dark store to another's — a measure of distribution consistency.
A: By comparing each pincode's available SKUs against a brand baseline and computing coverage % and missing SKUs.
A: Hero SKUs missing from certain pincodes are lost sales hiding as availability quirks — really a distribution gap.
A: On a recurring cadence for ongoing distribution-gap tracking.
Actowiz Solutions designs custom, large-scale scraping and market-intelligence pipelines with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.
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