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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
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.
How We Helped a Retail Brand Boost Bestseller Detection Using Scraped LEGO Product Data
We improved bestseller detection by analyzing demand trends, pricing, and availability Using Scraped LEGO Product Data, enabling faster, data-driven retail decisions.
How We Delivered Competitive Pricing Insights on Price Wars Across FairPrice, Giant, and Sheng Siong for a Leading Retail Brand
We uncovered actionable pricing insights by analyzing Price Wars Across FairPrice, Giant, and Sheng Siong, helping a leading retail brand stay competitive in real time.
How Review Data Scraping from Cold Storage Facilities Improved Grocery Product Quality
Review data scraping from cold storage facilities helped grocery brands identify quality issues, improve handling standards, reduce spoilage, and enhance overall product freshness.
How Fashion Brands Use Datasets to Launch Collections and Drive 20% Higher Sales in Fast Fashion
Discover how a fast fashion brand leveraged datasets and consumer insights to launch smarter collections, boost demand forecasting, and achieve 20% higher sales.
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.