Client Background: A leading US retail chain with 500+ locations needed comprehensive competitive pricing intelligence across electronics and home goods categories.
Challenge: Manual price monitoring across 20+ competitors was time-intensive and error-prone, resulting in missed pricing opportunities and reduced margins during peak seasons.
Solution: Hir Infotech implemented AI-driven scraping across Amazon, Best Buy, Target, and regional competitors. Our solution extracted real-time pricing data for 50,000+ SKUs, including promotion timing, inventory levels, and customer ratings.
Results: The client achieved 15% margin improvement through dynamic pricing optimization, increased market share by 8%, and reduced manual pricing analysis time by 90%. Our solution delivered ROI within 6 months.
Client Testimonial: “Hir Infotech’s AI-powered scraping transformed our pricing strategy. Their real-time competitive intelligence helped us capture market opportunities we never knew existed.”
Client Background: A Munich-based industrial equipment manufacturer seeking to expand their European B2B customer base through targeted outreach campaigns.
Challenge: Limited visibility into European B2B contact databases and industry-specific business listings hindered expansion efforts across Germany, France, and Netherlands markets.
Solution: Our team scraped comprehensive business directories including Kompass, Cylex, and regional industry portals, extracting 85,000+ verified B2B contacts with company size, industry classification, and decision-maker information.
Results: Generated 300% increase in qualified leads, achieved 25% higher email open rates through targeted segmentation, and secured 150+ new B2B partnerships within 12 months.
Client Testimonial: “Hir Infotech’s European market intelligence was game-changing. Their compliant data extraction helped us identify and connect with key prospects across multiple markets.”
Client Background: A Sydney-based financial technology startup developing AI-powered investment tools needed comprehensive market data for algorithm training and competitive analysis.
Challenge: Required real-time financial data, news sentiment, and competitor feature analysis from multiple sources to train machine learning models and identify market gaps.
Solution: Deployed multi-source scraping across ASX listings, financial news portals, and competitor platforms. Delivered structured datasets including stock performance, news sentiment scores, and feature comparisons for 200+ fintech competitors.
Results: Reduced market research time by 85%, improved algorithm accuracy by 40%, and secured Series A funding based on comprehensive competitive intelligence insights.
Client Testimonial: “Their Australian market expertise and real-time data delivery were crucial to our success. Hir Infotech’s scraping solutions provided the data foundation for our AI algorithms.”
Client Background: A London-based e-commerce aggregator managing multiple online brands needed comprehensive product data and customer sentiment analysis across UK and European markets.
Challenge: Manual tracking of product performance, customer reviews, and competitor strategies across multiple platforms was limiting growth and strategic decision-making capabilities.
Solution: Implemented comprehensive scraping across Amazon UK, eBay, and regional e-commerce platforms, extracting product listings, customer reviews, pricing trends, and inventory data for 30,000+ products.
Results: Achieved 35% increase in conversion rates through optimized product positioning, improved customer satisfaction by 28% based on sentiment analysis insights, and expanded to 3 new European markets.
Client Testimonial: “Hir Infotech’s UK and European scraping expertise transformed our product strategy. Their data-driven insights helped us optimize every aspect of our e-commerce operations.”
Client Background: A Paris-based digital marketing agency serving luxury brands needed comprehensive social media monitoring and competitive intelligence for client campaigns.
Challenge: Manual social media monitoring and competitor analysis across French and European markets was time-intensive and limited campaign optimization opportunities.
Solution: Developed multi-platform scraping across Instagram, LinkedIn, Twitter, and French lifestyle blogs, extracting brand mentions, engagement metrics, influencer performance, and competitive campaign analysis.
Results: Increased client campaign ROI by 45%, reduced social media monitoring time by 75%, and won 8 new luxury brand accounts based on data-driven campaign insights.
Client Testimonial: “Their French market knowledge and social media scraping capabilities elevated our agency’s service offering. Clients now see us as true strategic partners.”
Client Background: A Milan-based B2B software provider targeting small and medium enterprises across Italy and Southern Europe needed comprehensive lead intelligence and market analysis.
Challenge: Limited visibility into SME business directories and industry-specific contact databases was constraining sales pipeline growth and market expansion efforts.
Solution: Scraped Italian business directories including PagineGialle, Europages, and industry associations, extracting 60,000+ SME contacts with company size, technology stack, and contact information across target industries.
Results: Generated 250% increase in sales qualified leads, improved sales conversion rates by 30%, and expanded market presence to Spain and Portugal within 18 months.
Client Testimonial: “Hir Infotech’s Italian market intelligence and B2B contact extraction were instrumental in our expansion. Their data quality and compliance approach gave us complete confidence.”
Client Background: An Amsterdam-based healthcare analytics startup developing AI-powered patient outcome prediction models needed comprehensive medical research data and pharmaceutical market intelligence.
Challenge: Manual collection of medical publications, clinical trial data, and pharmaceutical pricing information was limiting algorithm development and market analysis capabilities.
Solution: Implemented specialized scraping across PubMed, EMA databases, and pharmaceutical company portals, extracting research abstracts, clinical trial results, and drug pricing data while ensuring GDPR compliance.
Results: Accelerated algorithm development by 60%, improved prediction accuracy by 35%, and secured partnerships with 3 major European hospitals based on comprehensive research insights.
Client Testimonial: “Their healthcare domain expertise and European regulatory compliance were exceptional. Hir Infotech’s data solutions helped us advance medical AI research responsibly.”
