How Actowiz normalized pet-food pricing to ₹/kg and mapped assortment depth across q-commerce — comparing premium against mass brands on true value and range.
A pet-care brand needing ₹/kg price comparison and assortment-depth mapping across q-commerce — premium versus mass brands.
Actowiz normalized pet-food pricing to ₹ per kilogram and mapped assortment depth across q-commerce, comparing premium against mass-market brands on both value and range. Because pet food sells in widely varying pack sizes, only ₹/kg reveals true value; every SKU was normalized accordingly, tagged premium or mass, and counted for assortment depth per brand. The result was a clear view of how premium and mass brands competed on price-per-kg and catalogue breadth across platforms, refreshed on a recurring cadence.
The client is a pet-care brand needing to compare pet-food value and range across q-commerce. Pack prices are not comparable across pack sizes, so value had to be read in ₹/kg, and range in assortment depth — with premium and mass brands compared distinctly.
Actowiz normalized every SKU to ₹/kg, tagged premium vs mass, and counted assortment depth per brand across platforms.
Actowiz built a pet-food pricing and assortment pipeline with ₹/kg normalization and tier tagging.
| Attribute | Description |
|---|---|
| Brand | Pet-food brand |
| Tier | Premium or mass |
| Species / Type | Dog/cat, dry/wet |
| SKU / Pack Size | Product and weight |
| Price / ₹ per kg | Listed price and ₹/kg |
| Assortment Depth | SKU count per brand |
| Platform / Date | Source and cycle |
| Metric | Value |
|---|---|
| Industry | Pet Care • Pet Food |
| Region | India |
| Comparison | Premium vs mass |
| Metrics | ₹/kg + assortment depth |
| Splits | Dog/cat, dry/wet |
| Cadence | Recurring |
| Output | Value + assortment dataset |
"Once Actowiz put pet food in ₹ per kg and mapped range side by side, we finally saw how the premium and mass brands really competed — on value and on shelf breadth, not just pack price."
— Category Manager, Pet Care
A: Pack sizes vary widely, so pack price hides value; ₹/kg makes brands comparable on true value.
A: Each brand is tagged premium or mass, then compared on ₹/kg and assortment depth.
A: The number of SKUs/variants a brand fields, indicating catalogue breadth per platform.
A: Yes — species and food type (dry/wet) are attributed cleanly.
A: On a recurring cadence for ongoing tracking.
Actowiz Solutions builds ₹/kg-normalized pricing and assortment datasets with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
Track the US Grocery Price Inflation Tracker 2026 to monitor food price trends, category changes, and inflation insights for smarter decisions.
Discover how a POC for Food Delivery in India, Australia & Malyasia helps brands validate pricing, menus, competitors, and delivery market insights.
Zomato Restaurant & Menu Data Intelligence Report 2026 reveals restaurant, menu, pricing, ratings, and food delivery trends for smarter decisions.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.