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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
Big Data Analytics Empowering Competitive Pricing through Fashion Retail Data Scraping
Fashion Retail Data Scraping enables informed decision-making, trend analysis, and strategic planning for retailers in a dynamic market.
Case Study: Scraping Product Prices and Reviews for Business Excellence
This case study highlights our strategic scraping of product prices and reviews, offering vital insights into competitors' pricing strategies. It empowers businesses with essential information for informed decision-making and competitive positioning.
Case Study: Scrape E-commerce Data to Compare Prices in Real-Time
Discover how our e-commerce data scraping collected home improvement dealers' details for our client. Swift, structured data automation offered valuable insights for informed strategies and enhanced market presence.
Case Study: Elevating Pricing Intelligence for Informed Retail Strategies Using Adidas Data Scraping
Refining retail strategies with informed pricing intelligence through Adidas data scraping, ensuring a competitive edge in dynamic market landscapes.
Case Study: Gain Business Insights with Comprehensive Flipkart Datasets
Gather invaluable insights with collected Flipkart datasets, providing a detailed view of market trends, competitor strategies, and consumer behavior for informed decision-making and strategic planning.
Case Study: Scrape Fashion Product Data from E-commerce Websites to Boost Market Intelligence
Efficiently scrape fashion product data from e-commerce websites, ensuring real-time insights, competitive intelligence, and strategic decision-making for businesses in the dynamic fashion industry
How to Scrape Walmart, Publix and Winn-Dixie Grocery Prices in Florida for Competitive Retail Insights?
Scrape Walmart, Publix and Winn-Dixie Grocery Prices in Florida to track pricing trends, promotions, and grocery market insights.
How Boots Health and Beauty Product Data Analytics Helps Brands Understand Consumer Trends
Unlock market trends, pricing insights, and consumer behavior with Boots health and beauty Product data analytics for smarter business decisions.
How Grocery Store Deal Matching Data Scraping by UPC scan Helps Retailers Compare Pricing Across HEB, Publix, Winn-Dixie, Walmart, and Kroger?
Grocery Store Deal Matching Data Scraping by UPC scan helps track prices, promotions, and competitor deals across major grocery retailers.
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.