Client Background: A leading multinational food delivery aggregator serving 15+ countries required comprehensive restaurant intelligence to optimize platform partnerships and improve market positioning across diverse regional markets.

Challenge: The client needed real-time visibility into competitor pricing strategies, restaurant availability patterns, and consumer preference trends across multiple geographic regions while maintaining compliance with local data protection regulations.

Solution: Hir Infotech implemented a comprehensive multi-platform scraping solution covering 25,000+ restaurants across Uber Eats, DoorDash, Zomato, and regional platforms. Our AI-powered extraction system delivered hourly updates on menu changes, pricing adjustments, and availability status with 99.8% accuracy.

Results: The client achieved 34% improvement in competitive positioning, 28% increase in restaurant partner acquisition, and 41% enhancement in market expansion success rates. Real-time intelligence enabled dynamic pricing strategies that increased platform revenue by $2.3M annually.

Client Testimonial: “Hir Infotech’s restaurant data intelligence transformed our strategic planning capabilities. The depth and accuracy of insights enabled us to make confident expansion decisions and optimize our platform offerings across multiple markets.”