AI-Enabled B2B Construction Project Management System

The construction industry increasingly demands efficient project coordination, accurate requirement analysis, and timely decision-making; however, most existing project management systems rely heavily on manual processes and human expertise. These limitations often result in delays, communication gaps, and reduced operational efficiency. This project proposes an AI-Enabled B2B Construction Project Management System aimed at supporting civil engineers and architects in managing construction projects and client interactions in a more intelligent and automated manner. The proposed system integrates a Large Language Model as an Al-powered professional assistant to interpret client requirements, assist in decision-making. The platform provides functionalities such as client management, Al-based requirement assistance, project planning support, cost and material guidance, and automated reporting within a unified web-based architecture. Modern frontend and backend technologies are employed to ensure scalability, reliability, and seamless interaction between system components. By introducing artificial intelligence into construction project management, the system reduces dependency on manual analysis, minimizes human errors, and enhances productivity and client satisfaction. The proposed approach demonstrates a novel application of AI in B2B construction environments, offering improved efficiency, better resource utilization, and intelligent decision support for real-world construction projects.