This tool enables the identification of potential construction obstacles before the actual work begins by systematically evaluating design and construction activities at various phases. It automates the constructability review (CR) process, providing unified data storage, analysis, and intelligent recommendations based on previous project data. The i-CR system allows users to conduct constructability reviews regardless of their experience level by suggesting action items and issues based on historical data, thus improving consistency in project management. With a structured register and a dashboard for tracking progress, i-CR enhances planning, reduces time spent on reviews, and ensures clarity in performance indicators.
A key issue in construction projects is the difficulty in identifying potential risks and obstacles before construction begins. Traditional methods of conducting constructability reviews are time-consuming, inconsistent, and reliant on the experience of facilitators, which often leads to inefficiencies. With the growing complexity of projects, it is essential to have a system that can analyze large sets of historical data and provide real-time insights for improving decision-making. The absence of a streamlined, data-driven approach makes it challenging to identify risks early, leading to costly delays and revisions during construction phases.
This innovative approach integrates AI and data-driven methodologies to automate and enhance the constructability review process. Using NLP and ML, the platform intelligently analyses data from past projects to provide actionable recommendations for current ones. Unlike traditional CR methods that are time-consuming and reliant on individual expertise, this system standardises the process, improves risk identification, and provides real-time tracking of key performance indicators. The use of AI allows it to predict potential obstacles more accurately and assist in making informed decisions, thereby transforming how construction project reviews are conducted.
The solution leverages natural language processing (NLP) and machine learning (ML) technologies to automate the constructability review process, significantly enhancing efficiency. By extracting, standardising, and organising historical data, the system provides automated recommendations and insights that help identify potential construction risks before they occur. It offers online functionality for assigning CR facilitators, submitting and reviewing documents, and tracking progress. The system also automates notifications and generates detailed reports, reducing the time needed for deliberations by up to 50%. By integrating AI-driven recommendations, the solution optimises the planning and execution of construction projects.
The competitive advantage of this tool lies in its ability to significantly reduce the time and cost associated with constructability reviews. The automated system allows for quicker deliberation, saving between 30% to 50% of the time typically spent on such reviews. Additionally, by reducing the need for extensive training for scribes and facilitators, the solution cuts operational costs. The AI-driven recommendations and real-time tracking features provide a distinct advantage over traditional review methods, offering a more efficient and data-driven approach that enhances project execution and risk management. Its seamless integration of multiple functionalities in one platform makes it a leading solution in construction project management.