Client Background: A multinational real estate investment trust managing $2.8 billion in commercial and residential properties across North America and Europe required comprehensive market intelligence to optimize their acquisition strategy and improve portfolio performance.

Challenge: The client struggled with fragmented data sources, inconsistent property valuations, and delayed market insights that hindered strategic decision-making. Manual data collection processes consumed excessive resources while providing incomplete market coverage, resulting in missed opportunities and suboptimal investment timing.

Solution: We implemented a comprehensive real estate data scraping solution covering 85+ property platforms across the USA, UK, Germany, and France. Our AI-powered system extracted property details, pricing trends, rental yields, and market demographics, delivering structured data through custom APIs integrated with their investment management platform.

Results: The client achieved a 35% improvement in portfolio performance, reduced data collection costs by 60%, and accelerated acquisition decision-making by 40%. Enhanced market intelligence enabled identification of undervalued assets worth $450 million in previously overlooked markets.

Client Testimonial: “Hir Infotech’s data intelligence platform transformed our investment strategy. The comprehensive market insights and real-time analytics enable us to identify opportunities our competitors miss while managing risk more effectively.”