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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
How City-Wise SKU Performance on Swiggy Instamart - Mumbai vs Bengaluru vs Delhi Demand Insights Datasets 2026
Analyse City-Wise SKU Performance on Swiggy Instamart with Mumbai vs Bengaluru vs Delhi demand insights datasets 2026 to track trends, regional demand, and SKU movement.
How Data Scraping Revealed the Best-Selling Price Ranges for Electronics on Vinted UK 2026
Explore Price Ranges for Electronics on Vinted UK to understand average costs, popular categories, and smart buying trends in the resale market.
How We Assisted a Brand in Maximizing Revenue Through Amazon and Namshi Product APIs for Pricing
Use Amazon and Namshi Product APIs for Pricing to track real-time price changes, compare competitors, monitor availability, and drive smarter ecommerce pricing decisions.
How We Enabled a Retail Brand to Scrape Competitor Prices for Canadian Ecommerce with Real-Time Intelligence
Scrape Competitor Prices for Canadian Ecommerce to help brands track rivals, optimize pricing strategies, boost margins, and stay competitive in fast-moving markets.
Fashion Brand Built Regional Apparel Pricing Intelligence Using City-Level E-Commerce Data
Discover how fashion brands leverage city-level e-commerce data to build regional apparel pricing intelligence, optimize strategies, and maximize revenue.
How Web Scraping Australia’s Major Retailers Helped Uncover Hidden Product Gaps in the Biggest Retail Website
Use web scraping Australia’s major retailers to track pricing, availability, promotions, and category trends, helping brands and analysts make faster, data-driven decisions.
How We Helped a Brand Scrape Amazon and Walmart Prices in Real Time to Fix Competitive Pricing Gaps
Case Study shows how we helped a brand scrape Amazon and Walmart prices in real time, fixing competitive pricing gaps with accurate data and faster decisions.
How a Vendor Reduced Perishable Waste by 15% Using a Real-Time Stock API for Amazon Fresh
Learn how a vendor cut Amazon Fresh perishable waste by 15% using a Real-Time Stock API for Amazon Fresh, optimizing inventory and efficiency.
How We Created Comparison Datasets between Royal Canin and Blue Buffalo for Real-Time Product Analytics
How we created comparison datasets between Royal Canin and Blue Buffalo, analyzing real-time product data, pricing trends, and inventory insights.
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.