In recent years, modular construction projects have become increasingly popular. However, architects and engineers often lack knowledge about the manufacturing, supply, and assembly stages, which has hindered the implementation of such modular prefabricated systems. To assist in addressing this challenge, this study proposes the use of a configuration platform (also called configurator) to guide users in customizing final products based on design requirements and available manufacturing options. Such platforms provide construction consultants with the necessary tools and information to design a construction product (a building) that aligns with the characteristics of a specific building industrialized system. Configuration systems are an application of artificial intelligence and have exciting potential to streamline design choices, evaluate them, and ensure compliance with regulatory standards. Modular construction is perceived as an alternative solution to the housing crisis due to its benefits of cost, production time, environmental impact, and high quality. This article aims to test the hypothesis that BIM-based configuration platforms can help fill the knowledge gap that limits the adoption of off-site construction methodologies. The study elaborates on the method used, the architecture, and the criteria that served as guidelines for the proposal of a configuration system workflow used into a general study case. The findings and limitations of BIM-based configuration platforms are discussed, and proposals for future research are suggested.