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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.

Service
Distribution / Assortment Intelligence
Region
India — multi-pincode
Focus
Dark-store assortment variance
Pincode
Variance Measured
Assortment
Gap Detection
Dark-Store
Catalog Diff
Distribution
Map

Key Takeaways

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.

What did the client need?

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.

What made this hard?

  • Pincode-level catalogs. Available assortment differs by dark store, so pincode-level capture was essential.
  • Variance measurement. "How different" had to be quantified, not just observed.
  • Reference assortment. A full brand assortment baseline was needed to measure gaps against.
  • SKU-level gaps. Which specific SKUs were missing where had to be identified.
  • Multi-pincode scale. Comprehensive pincode coverage for a real distribution map.

How did Actowiz solve it?

Actowiz built a pincode-level assortment-variance pipeline, comparing each dark store's available catalog against a brand baseline.

Approach
  • Pincode-level capture. Available brand SKUs captured per pincode/dark store.
  • Baseline comparison. Each pincode's catalog compared to the full brand assortment.
  • Variance model. Assortment variance and coverage % computed per pincode.
  • Gap identification. Specific missing SKUs flagged per pincode.
  • Distribution map. Variance rolled up into a pincode/city distribution view.
Data Attributes Extracted
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

What were the results?

  • Distribution gap map. Exactly which pincodes carried a thin catalog and which SKUs were missing.
  • Variance quantified. A concrete coverage % per pincode, not an anecdote.
  • Hero-SKU gaps. Where key SKUs were absent, prioritized for action.
  • Distribution decisions. Evidence to fix dark-store stocking and coverage.

Project at a Glance

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

Client Feedback

"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

Frequently Asked Questions

Q: What is dark-store assortment variance?

A: How much a brand's available catalog differs from one pincode's dark store to another's — a measure of distribution consistency.

Q: How is it quantified?

A: By comparing each pincode's available SKUs against a brand baseline and computing coverage % and missing SKUs.

Q: Why does it matter?

A: Hero SKUs missing from certain pincodes are lost sales hiding as availability quirks — really a distribution gap.

Q: How often is it refreshed?

A: On a recurring cadence for ongoing distribution-gap tracking.

Need a custom data pipeline for your category?

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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