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How brands use our data to win on price, protect their brand and grow on marketplaces
Real projects, real outcomes — from competitor pricing programmes to MAP enforcement and quick commerce intelligence. Each case shows the brief, the data we delivered and the measurable result.
A US consumer electronics brand cut competitor-pricing analysis from 2 days to 15 minutes
A mid-market electronics brand selling on Amazon US, Walmart and Best Buy was running pricing analysis manually. Two analysts spent every Monday checking 200+ priority SKUs across three marketplaces. By the time the report reached the pricing committee, competitor moves were already 4-5 days stale. They needed daily visibility without growing the team.
"We went from two analysts spending Mondays in spreadsheets, to a Monday-morning email with everything already matched and flagged. Now the pricing committee debates the response, not the numbers."
Results in 90 days
Across the case studies on this page
More client outcomes
Real-Time Grocery Pricing from Checkers, Pick n Pay, Woolworths and SPAR for Competitive Retail Intelligence
Unlock Real-Time Grocery Pricing from Checkers, Pick n Pay, Woolworths and SPAR to monitor prices, optimize strategies, and stay ahead.
How a Fashion Brand Used Flipkart Size-Level Stock Data to Eliminate Variant Stockouts
Flipkart size-level stock data showed a fashion brand its bestsellers were sold out in the sizes that mattered. See how it recovered lost revenue in one quarter.
Viral Toy Trend Detection: Spotting Toys Before They Sell Out
Viral Toy Trend Detection caught demand spikes days early - letting a toy retailer stock the next viral hit before it sold out everywhere and prices ran away.
Mobile Accessories Price War: A Dynamic Pricing Case Study Using Mobile Accessories Pricing Data
Mobile Accessories Pricing Data turned a race-to-the-bottom price war into a disciplined dynamic pricing strategy — protecting margin while holding competitive rank.
Makeup New Launch Detection: Catching Competitor Drops Before They Trend
Makeup New Launch Detection surfaced competitor drops the week they listed — not the month they trended — giving a brand time to respond while it still mattered.
Mattress Share of Shelf Tracking Across Amazon, Flipkart, and Pepperfry
A Home Furnishings Assortment Gap Analysis found the white-space a furniture brand was missing — the exact SKUs competitors listed that it did not, ranked to launch.
Skincare Review Sentiment Analysis: How a D2C Brand Used Nykaa and Amazon Reviews to Reformulate a Bestseller
Home Decor Catalog Enrichment turned 50,000+ thin marketplace listings into complete, search-ready product pages. See the field-level lift and the conversion gain.
How a Mobile Brand Prepared for Big Billion Days Using Real-Time Flipkart Price Feeds
How a mobile brand used real-time Flipkart price feeds to plan Big Billion Days pricing, catch competitor drops within minutes and protect margin through the sale.
How We Helped a Global Retail Brand Scrape AI-Recommended Prices from Competitor Data for Smarter Pricing Decisions
Learn how to Scrape AI-Recommended Prices from Competitor Data to optimize pricing, monitor competitors, and drive smarter business decisions.
By solution category
Commerce Intelligence engagements
Daily and hourly competitor pricing across US, UK, India and UAE marketplaces.
12+Digital Shelf programmes
Share of search, content audits, ratings and availability monitoring.
15+Brand Protection deployments
MAP enforcement, counterfeit detection and unauthorised-seller programmes.
9+Quick Commerce pipelines
Pincode-level Blinkit, Zepto and Instamart monitoring for FMCG brands.