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An edible-oil FMCG brand needing ₹/litre price comparison across refined, mustard, and olive oil types, plus OOS tracking, across q-commerce platforms.

Industry
FMCG • Edible Oils
Region
India
Oil Types
Refined • Mustard • Olive • more
3+
Oil Types Compared
₹/Litre
Normalized Pricing
OOS%
Availability Signal
Multi-Platform
Q-Commerce

Key Takeaways

Actowiz tracked top cooking-oil brands across q-commerce, normalized every SKU to ₹ per litre by oil type, and captured out-of-stock rate for a complete value-and-availability picture. Because refined, mustard, and olive oils sit at different price bands and span pack sizes from 500ml to 5L, raw pack price is not comparable; only ₹/litre reveals true value. The result exposed where the client was over- or under-priced within each oil-type band, surfaced availability gaps by platform, and gave a fair, like-for-like read on cooking-oil value across the category.

What did the client need?

The client is an edible-oil FMCG brand that needed to compare cooking-oil value the way shoppers experience it — by ₹/litre — across very different oil types (refined, mustard, olive, and others) and pack sizes, where headline pack prices are not comparable.

Actowiz tracked top cooking-oil brands across q-commerce, normalized every SKU to ₹/litre by oil type, and captured out-of-stock rate to give a complete value-and-availability picture.

What made this hard?

  • Type incomparability. Refined, mustard, and olive sit at different price bands — comparison only makes sense within and across types on a common basis.
  • Pack-size sprawl. Oils span 500ml to 5L+, all needing ₹/litre normalization.
  • Brand + type mapping. SKUs had to be mapped to both brand and oil type.
  • OOS as a signal. Out-of-stock had to be captured alongside price.
  • Cross-platform capture. Uniform pricing across q-commerce for fair comparison.

How did Actowiz solve it?

Actowiz built an edible-oil pricing pipeline with ₹/litre normalization by oil type and OOS tracking.

Approach
  • Brand & type tagging. Every SKU mapped to brand and oil type.
  • ₹/litre normalization. Pack price converted to ₹/litre.
  • Type-wise comparison. Value compared within and across refined/mustard/olive.
  • OOS tracking. In-stock/out-of-stock captured per SKU.
  • Cross-platform capture. Uniform capture across q-commerce platforms.
Data Attributes Extracted
Attribute Description
Brand Edible-oil brand
Oil Type Refined / mustard / olive / other
SKU / Pack Size Product and volume
Price Listed price
₹ per Litre Normalized price-per-litre
Stock Status In-stock / out-of-stock
Platform Source q-commerce platform
Scrape Date Cycle date

What were the results?

  • Value clarity. ₹/litre exposed real value across oil types.
  • Type-band insight. Where the client sat within refined/mustard/olive bands.
  • Availability gaps. OOS% surfaced stock issues alongside price.
  • Pricing input. Evidence for pack and price decisions.

Project at a Glance

Metric Value
Industry FMCG • Edible Oils
Region India
Oil Types Refined, mustard, olive, +more
Metric ₹/litre + OOS%
Coverage Multiple q-commerce platforms
Cadence Recurring
Output ₹/litre comparison dataset

Client Feedback

“Comparing a mustard oil to an olive oil by pack price was pointless. In ₹ per litre the whole category finally lined up, and the out-of-stock view showed us where we were bleeding shelf.”

— Category Head, Edible-Oil FMCG Brand

Frequently Asked Questions

Q: Why normalize cooking oil to ₹/litre?

A: Oils span many pack sizes and price bands, so pack price hides value; ₹/litre makes brands and types comparable.

Q: Which oil types are compared?

A: Refined, mustard, olive, and other types — within and across bands.

Q: Is availability tracked too?

A: Yes — out-of-stock rate is captured per SKU alongside price.

Q: How often is it refreshed?

A: On a recurring cadence for ongoing value and availability 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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