Client Background: A mid-market home improvement retailer with 180 locations across the USA sought competitive pricing intelligence to compete with major chains like Home Depot and Lowe’s.

Challenge: Manual price monitoring across 50,000+ SKUs from multiple competitors consumed 40 hours weekly while delivering outdated information that hindered rapid pricing decisions during seasonal demand periods.

Solution: Hir Infotech implemented AI-powered scraping across 15 competitor websites, extracting real-time pricing, promotional data, and inventory levels for all SKUs. Our intelligent classification system categorized products, tracked price changes, and generated automated alerts for significant market movements.

Results: The client achieved 300% revenue growth within 18 months through dynamic pricing optimization, reduced labor costs by $156,000 annually, and improved gross margins by 12% through precise competitive positioning strategies.

Client Testimonial: “Hir Infotech’s AI scraping solution transformed our pricing strategy from reactive to proactive. We now adjust prices in real-time based on competitor movements, resulting in our highest profitability in company history.”