ConLogAI – Concept for an AI-enabled platform for construction logistics scheduling

Construction logistics management plays a crucial role in the successful execution of construction projects. Building Information Modeling (BIM) supports scheduling processes by providing structured project data. The integration of Artificial Intelligence (AI) further enhances the impact of BIM by enabling automation, pattern recognition, and intelligent decision-making. Additionally, digital technologies such as the Internet of Things (IoT) can support data-driven adaptations during execution. This paper introduces a concept for a BIM-based, AI-enabled construction scheduling platform designed to address critical challenges in construction logistics planning. By leveraging BIM data as a foundation, the platform incorporates AI-driven semantic enrichment to derive task relationships and dependencies, while employing advanced scheduling algorithms to generate optimized execution plans. The proposed system aims to enable dynamic, resource-constrained scheduling and facilitate real-time adaptation to disruptions. A preliminary implementation validates the feasibility of the concept and highlights its potential to improve transparency, efficiency, and responsiveness in construction logistics management.