Construction productivity has been stuck in the mud, despite the industry accounting for 14.2% of the global GDP. Schedule and cost overruns are the norm, yet the industry has historically been slow to adapt to technology. It isn’t difficult to understand why. After all, you can’t digitize concrete. Construction is a physical-labor-intensive, low-margin and materials-based industry. As construction projects become more complex and in demand, the increasing application of artificial intelligence could be a turning point for the industry. Let’s then discuss the use cases of construction AI in boosting productivity in construction.
How can construction AI improve productivity?
Here are some areas where artificial intelligence can be utilized -
1. Construction project documentation
Artificial intelligence can help stakeholders have better documentation by enhancing project visibility and communication, such as by linking documents such as building specifications, change orders and drawings.
Construction AI can automate information retrieval from documentation, detect and track document document changes, and generate draft reports.
InnDoc AI helps construction teams understand their documents by analyzing the content and generating actionable summaries. It compares multiple documents to identify differences, automates compliance checks and extracts key information.
2. Progress tracking and decision-making
Standard methods of KPI and progress tracking are limited due to their reliance on physical site inspections.
Site progress can be captured using video and photo documentation, which can be tagged for accurate tracking. With construction AI, work rates and progress can be tracked even in near real-time.
If managers want to model a solution that allows forecasting different project constraints, such as cost, they can employ algorithms such as Artificial Neural Networks (ANN).
3. Scheduling and resource allocation
Construction project scheduling helps establish and match the activity sequence to the required resources.
Construction environments are complex due to unknown variables, making scheduling with standard project management tools problematic.
The sequential nature of standard project scheduling methods cannot capture disruptions created by internal and external factors and suffers from multiple other inefficiencies.
Artificial intelligence can efficiently synthesize large volumes of data and provide insights to help project managers allocate resources optimally.
InnClock AI provides detailed performance reports and logs to help monitor individual and team productivity. It also provides real-time analytics, to help managers optimize resource allocation, track attendance trends, and improve decision-making.
Final Words
The availability of data and complexities in the construction industry are some factors that make it ripe for innovation. Integrating construction AI can reap multiple benefits for project management.
For instance, artificial intelligence platforms, such as InClock AI, are already resolving workforce management-related problems. Additionally, they are also proving beneficial in handling different types of documentation and communication, such as through InnDoc AI.
Schedule a demo to understand how artificial intelligence can enhance your efforts boost your team’s productivity