Tracking construction progress in terms of cost, schedule and quality — at scale — is complicated. It not only involves understanding the physical progress on site at a given time but also aggregating and comparing that data to planned cost, schedule or quality metrics.
Today, subject-matter experts rely on their expertise and years of experience to understand progress and compare that to plans in order to optimize construction projects. However, because this is a manual process, early detection and risk mitigation is difficult and often results in schedule delays and cost overruns. For example, Doxel has found that most progress reports lag by 3–6 weeks and can have up to 30% of line items incorrectly reported.
The solution to this problem is automating a manual process by building a structured, adaptive, and scalable model of the construction domain. This would encode the expertise and years of experience subject matter experts have, enabling risk detection in near-real time based on objective site status.
To build an efficient and accurate paradigm of construction, Doxel invented the Construction Encyclopedia (patent pending). As with other domain models, it has 3 main components: