Menu Close

The Role of AI in Construction Estimating

AI has a host of capabilities that can improve construction projects and reduce costs. For example, AI can optimize maintenance needs and prevent costly machine breakdowns.

Machine learning can also automate takeoffs by analyzing plans and interpreting data points to determine the number of rooms in a building. This helps estimators focus on higher value tasks.

AI-Driven Scheduling

In timber construction, AI is reshaping the design process. AI-driven solutions help architects and engineers develop timber structures that are more efficient, cost-effective, and sustainable. They can also help identify errors and omissions in a design before the building process begins, avoiding costly corrections later on.

In addition, AI can help streamline the MEP takeoff and estimating process. Traditional manual or even digitized methods of performing takeoffs and cost estimations often involve a combination of tedious tasks such as manually measuring components, reading and interpreting design drawings, and calculating quantities and costs based on those measurements. These processes are prone to human error which can significantly increase the time and expense of MEP projects.

With AI-based tools, MEP takeoffs and estimates can be completed in a fraction of the time with up to 97% accuracy. This significantly reduces the risk of costly mistakes, and allows estimators to focus on value-added activities like preparing bids and evaluating project opportunities. Furthermore, faster estimating processes help ensure that bids are submitted on time which can improve project timelines and overall productivity.

AI-Driven Estimating

Using AI in the estimation process eliminates human error and increases accuracy. It also reduces project delays and improves workflow efficiency, thereby contributing to greater profitability for construction firms.

In addition, AI can automate tasks that are repetitive and tedious for adjusters. This frees up their time to focus on more complex projects that elevate customer experience and reduce processing costs.

It can also be used to help speed up project delivery times, enabling construction firms to meet client expectations and stay competitive. Furthermore, it can be used to monitor construction sites to spot potential issues and risks and enhance quality control and safety.

The use of AI in MEP takeoff and estimating can significantly improve material quantity calculations, reduce labor costs, and boost efficiency and productivity. Additionally, it can streamline communication and collaboration amongst team members and stakeholders by providing access to digital data and automated reporting systems.

In addition, AI-enhanced software solutions like Kreo Caddie can identify and analyze textual information contained in drawings such as dimensions and quantities to accurately calculate material quantity reports. It can also automatically generate itemized cost breakdowns and expedite the estimating process. By streamlining material quantity calculations and reducing human errors, AI-enhanced MEP takeoff tools contribute to better estimates, faster project timelines, and enhanced project outcomes in the construction industry.

AI-Driven Bidding

The bid submission and tender process is a time-consuming, deadline-oriented endeavor. It’s crucial that bidding professionals are able to track their progress at all times to ensure that nothing slips through the cracks.

AI-powered solutions are enabling businesses to save valuable time on their bid management processes. They’re helping to automate three key areas: research, bid writing, and proposal automation. This allows them to free up valuable time and resources, and enables employees to focus on quality work without compromising productivity or the overall bid’s effectiveness.

Rules-based automated bidding is a good starting point for leveraging AI, but it’s labour-intensive to set and optimize the bidding rules. It also limits marketers to the number of granular bidding settings that can be defined. AI bidding takes into account a wide range of data insights such as location, intent, device type, weekday and time of day, demographics, site behavior, operating system and more to make targeted bid adjustments to deliver the most effective results for achieving marketing goals.

Additionally, AI-based bidding solutions can be trained to optimise for either conversions or volume. This helps advertisers better align their paid media campaign objectives with the business’s KPIs. Feeding closed-loop data on qualified leads or new customers to the AI can help train it to prioritize quality over volume. It can then apply this learning to future bids.

AI-Driven Quality Control

Artificial intelligence is increasingly being used to enhance quality control processes on construction sites. It is particularly useful for inspections, as it can quickly and accurately analyze data from cameras and sensors to identify errors or potential safety hazards. Additionally, it can provide valuable insights into project trends that can help managers optimize their workflow and reduce costs.

AI is being employed in several other aspects of the construction industry as well. For example, it can be used to improve communication and transparency between contractors and customers. It can also be used to perform feasibility studies and analyse project risks. This is important because it can help ensure that projects are cost-effective and will be profitable for businesses.

Another way AI is being used in construction is to automate the bidding process. This can save time and money by allowing contractors to submit bids for projects automatically. This technology can also help them stay competitive by enabling them to win more projects.

Finally, AI is being used to improve customer service in the construction industry. For example, some construction companies are using AI-powered chatbots to respond to customer queries. This can help improve customer satisfaction and increase conversion rates. AI is also being used to monitor workers’ health and safety on construction sites. For example, there are now smart helmets that can monitor workers’ vital signs and alert them if there is a problem.