Case Study: a UK based real estate company achieves accurate property price forecasting with NeenOpal's AWS-powered ML solution

UK Based Real Estate Company - Customer Case Study

The UK-based real estate company, a startup aiming to transform property investment, faced significant challenges in building a predictive model due to having over 40 disparate data sources and limited historical data. To achieve its goal of forecasting UK property prices, the company engaged NeenOpal to help overcome these data integration and granularity hurdles.

NeenOpal implemented a solution on AWS, utilizing services like Glue, Lambda, and GPU-based EC2 instances to automate data processing and build a multi-model NHITS time series forecasting architecture. This approach provided the client with a highly accurate and adaptable prediction model that efficiently handles complex market patterns. The result was a scalable, cost-effective platform that empowers stakeholders with data-driven insights for strategic decision-making and risk mitigation.