Client Background: A Fortune 500 technology company with operations across USA, Europe, and Australia needed comprehensive talent intelligence to support aggressive expansion plans and fill 500+ technical positions within 12 months.

Challenge: Manual recruitment processes couldn’t scale to meet hiring demands while maintaining quality standards. Limited visibility into competitor hiring patterns and salary benchmarks resulted in unsuccessful recruitment campaigns and budget overruns across multiple geographical markets.

Solution: Hir Infotech deployed AI-powered data scraping across 25+ job platforms including LinkedIn, Indeed, and regional portals. Automated collection of 2.5M+ candidate profiles, real-time salary monitoring, and competitor analysis dashboards provided comprehensive market intelligence covering software engineering, data science, and cybersecurity roles.

Results: Reduced time-to-hire by 45%, improved candidate quality scores by 32%, and achieved 89% offer acceptance rates. Optimized salary budgets saved $2.3M annually while filling critical positions 60% faster than previous methods.

Client Testimonial: “Hir Infotech transformed our global recruitment strategy with precise data intelligence that enabled confident hiring decisions across all markets. Their compliance-first approach gave us peace of mind for European operations.” – Sarah Chen, VP Talent Acquisition