Modernisation reduced operational costs by 30% and boosted developer productivity by 40%.
The client is the UK’s leading construction intelligence provider, delivering competitive intelligence across the construction supply chain and offering industry trend forecasts and insights.
The legacy PERL scraper application faced scalability and compatibility issues due to growing data volumes and the variety of document formats online. It struggled with dynamic website changes, lacked efficient asynchronous support, and required high maintenance. Additionally, it couldn't leverage GenAI-driven automation use cases, while also increasing exposure to data compliance and cybersecurity risks.
The modernisation involved a complete overhaul of the core BAU application, starting with consultations, architecture re-design, feature-wise code conversion (PERL to Python), and deployment through Merit’s DevSecOps frameworks and tools. Additional prompt engineering and best practice frameworks ensured the modernised code aligns with industry standards.
Whatever the challenge, whatever the industry, our teams work side-by-side with clients to design systems that perform today and evolve for tomorrow. That’s why leading businesses trust us to turn their toughest data ambitions into reality.
