As of yet, there are virtually no practical tools available for incorporating both developer and consumer preferences within a floorplan design. This study aims to deliver a proof of concept for such preference-based design systems, and their application within the commercial property development process. A research model is presented that is able to generate residential floorplan design alternatives, which are optimized for both developer and consumer preferences. At the foundation of this model lies the concept of Preference Function Modelling. With the use of a case study, the research model is shown to reflect reality to an accurate degree. The results indicate that the research model has generated floorplan design alternatives that are associated with a higher aggregated preference score than the actually realized floorplans for the case study. As this was the intended purpose of the research model, a proof of concept has been delivered. In conclusion, further exploration of the potential utility and applications of similar preference-based design systems is encouraged by the outcomes of this study.