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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
Multi-Level Pricing - Scraping Lowe's and Home Depot to Capture Contractor, Bulk, and Regional Tiered Pricing Structures
Case study on scraping Lowe’s and Home Depot to capture contractor, bulk, and regional tiered pricing structures for accurate retail price intelligence.
How A Fashion Brand Improved SEO Performance Using Scrape Competitor Product Attributes Myntra Service From Product Data Scrape
This case study shows how a fashion brand improved SEO performance using scrape competitor product attributes Myntra service from Product Data Scrape.
Real-Time Best Buy Price Monitoring for Competitive Electronics Retail
This case study explores real-time Best Buy price monitoring, showing how competitive electronics retailers track pricing to optimize strategy and boost sales.
Real-Time Grocery Data Scraping to Predict Holiday Demand Across U.S. Retail Chains
Real-time grocery data scraping helped predict holiday demand across U.S. retail chains, enabling accurate forecasting, smarter inventory planning, and faster decisions.
How to Scrape Product Price and Item Info from Microcenter for Real-Time Market Insights
Learn how to Scrape Product Price and Item Info from Microcenter to capture real-time market insights, track competitors, and support smarter pricing decisions.
How Product Intelligence from Zara & H&M Became the Secret Weapon for Trend Forecasting
Unlock How Product Intelligence from Zara & H&M helps brands track trends, forecast demand, and make faster, data-driven fashion decisions with actionable insights.
How Brands Track Real-Time Grocery Prices on Zepto, Instamart & Blinkit Using Automated APIs
Brands track Real-Time Grocery Prices on Zepto, Instamart & Blinkit with automated APIs to monitor promotions, adjust pricing, and gain competitive insights efficiently.
Vivino Review Sentiment Dataset for Predicting Wine Consumer Preferences
Vivino review sentiment dataset helps predict wine consumer preferences by analyzing ratings, reviews, and flavor insights to guide smarter wine marketing decisions.
Optimizing Multi-Channel Discount Strategies With Real-Time Price Drops Data For Amazon, Flipkart & more
Real-Time Price Drops Data For Amazon, Flipkart & more helps brands track discounts instantly, compare competitor pricing, optimize promotions, and make faster, data-driven retail 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.