With society undergoing a large-scale technological revolution, companies often find themselves having to adapt by developing digitized products and applications. However, these applications typically produce large amounts of data. An additional problem that companies in the 3D Home Design industry face is having to provide a massive amount of options for their products, which without proper usage metrics can lead to large amounts of wasted resources. This thesis aims to combat these problems by designing a prototype of a modular analytics platform, consisting of a data parser, a back-end server & API as well as a web interface. The system is capable of displaying highly customizable visual graphs of user statistics as well as breakdowns for how much each product gets picked by the client's users. The thesis system is built on a MERN stack, consisting of MongoDB, Express.js, React.js and Node.js, and is written purely in JavaScript. The thesis achieved moderate success by successfully implementing a modular analytics platform as well as correctly providing tools that can identify obsolete products, which in return could potentially reduce the amount of resources wasted by companies that adopt the solution.