For this Australian client of ours, we worked on building a location-based analytics platform that is customized for their intelligence and data needs. The main purpose of this platform is to help city planners, developers, policy makers, and asset managers make evidence-based decisions by analyzing how people interact with urban spaces over time. Users can define custom geographic boundaries by defining spatial data, which is directly fed into the analytics engine.
We worked on building the Web Application end-to-end and also incorporated AI-enabled functionalities into the software for predictive analytics, geospatial data processing, and a cloud-hosted big data infrastructure that gave stakeholders real-time insight into urban activity patterns.
Our client is based in Australia and runs an urban intelligence and location analytics company. Their target audience is city planners, real estate developers, policy makers, architects, and public infrastructure managers. They observed a gap in the market and wanted to build a custom analytics platform that would help decision makers design and develop urban environments to better serve the people who use them.
All of that is based on behavioural data, movement patterns, and environmental analytics rather than assumptions. So, they decided to take their existing platform and revamp it to better serve their new requirements through significant feature additions, and a separate need for a custom boundary-drawing designer tool that would integrate tightly with the main platform’s data pipeline. They started looking for reliable partners who could help them bring their idea to real life, and when they encountered ChromeInfotech, the partnership took off due to the perfect fit of our expertise with their end goals.Â
As Technology Grows, We grow too:
