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In the last couple of years, the construction industry has been exploring multiple technologies to optimize its operations and efficiency. This wanderlust ends at Artificial Intelligence. The use of AI in construction can help bring automation and optimization in various processes. It will also help improve site safety and security and extract insights from complex data.

The construction industry is amongst the least digitized industries in the world, and thus, it has huge benefits from using AI in construction. As per a McKinsey report, global construction is equivalent to 13% of the world’s GDP, which is $10 trillion a year. If we bring digitization into this industry, its market capitalization will increase by $1.6 trillion a year. That’s why many entrepreneurs in the construction industry are now looking for real estate software development.

In this article, we will explore all the major aspects of AI in construction, i.e., its use cases, benefits for construction companies, and all other major stakeholders. Let’s begin with the basics.

What is AI in Construction?

AI in construction industry is an umbrella term that refers to a plethora of AI-based technologies and tools specially curated for use in the construction industry. It includes specialized software based on machine learning algorithms and advanced industrial tools.

These tools are utilized for every phase of construction, from design to operations and asset management. AI in real estate can deliver significant improvements in terms of time and cost-effectiveness, especially in the planning and designing sub-segment.

With construction software development, real-estate companies can easily manage construction sites for potential hazards and address critical issues to prevent accidents. The machine learning algorithms of AI can analyze the vast amount of data to optimize site designs for energy efficiency and cost savings.

In the last few years, we have witnessed increasing adoption of AI in the construction industry to automate repetitive and physically demanding tasks, improve work safety, and increase site efficiency. It may sound unbelievable, but AI is capable of identifying quality issues on the site just by checking the site images.

How to use AI in Construction? Use Cases:

In 2020, McKinsey & Company released a report entailing 37 specific use cases of AI in construction management. Below, we dive into the seven most common use cases:

1. Project Management:

AI-based construction software development will capture photo and video footage on work sites and provide insights automatically. With this, managers can track work progress and workers’ productivity in real-time. AI will also inform us about any potential issues, and they can address them as quickly as possible.

It will also help managers to forecast the actual date of site completion, and thus, they can adjust dates accordingly. They can also forecast project lifestyle costs and estimate timelines with more accuracy.

2. Scheduling and Resource Allocation:

The construction managers can leverage construction software development for scheduling and resource allocation. It will result in efficient work planning and keep project budgeting and completion dates on track.

In the traditional work models, the allocation is done based on the availability of workers, but AI in construction will help map reliable schedules. It will also consider external factors like the weather, supply chain delays, etc.

3. Estimations and Bidding:

We all know that the size of construction sites is huge, with multiple external factors involved. Thus, the traditional process of estimation requires a lot of time and effort. Once architects and developers have created a design, a general contractor uses the plan to compute a bid. They then repeat the procedure with subcontractors, including plumbers, electricians, and frames.

Putting together each individual bid is a time-consuming (and unpaid) process that does not provide the general contractor with guaranteed returns.

That’s why estimation and bidding are amongst the most important AI use cases in construction. It will help automatically and accurately detect, label, and measure project spaces. Thus, the estimated time is reduced from weeks to minutes.

4. Mitigating Unanticipated Risks:

There are a plethora of ways by which AI will help in the mitigation of unanticipated risks:

·  Identify potential hazards through computer vision tools working in parallel with ML-powered software

·  Automate site inspections and detect quality issues in 3D models, video footage, and reports

·  Reduce unanticipated costs through AI-powered scheduling, resource allocation, and asset management.

·  AI & ML can also be used to analyze video footage and flag risks like theft or vandalism in real-time.

5. Robotics:

AI in real estate extends beyond software and algorithms; some of it has a tangible presence. AI robots are becoming an increasingly essential and quickly expanding subject in building technology. The following AI robots are already present on sites:

·  3D printers

·  Bricklaying and Painting robots

·  Welding and layout drawing robots

·  Rebar tying robots

·  Self-operating heavy equipment

6. Design & Planning:

For all the stakeholders involved in construction, like architects, engineers, and construction, AI technologies help streamline various decision-making processes. It can analyze complex data, including building codes, zoning laws, topographical information, and historical projects. The designs generated by AI are in accordance with regulatory requirements. They are also environmentally sustainable and cost-resource efficient.

7. Maintenance:

Predictive maintenance was one of the first applications of AI in real estate. It continues to help construction companies extend the lives of machines, increase on-site safety, and avoid project downtimes.

How does predictive maintenance function in construction? Machine learning algorithms in real estate app development keep track of equipment health by analysing sensor data (including ambient variables and performance statistics). The algorithms also detect anomalies in real-time. They then evaluate problems and notify operators before significant failures occur, recommending appropriate preventive maintenance measures.

If you are looking for an artificial intelligence development company that can develop AI-based construction software for you, then ensure the company can provide solutions that meet all these use cases.

Major Benefits of AI in Construction:

The tangible benefits that AI technology provides to the construction industry affect not only a project’s accuracy and efficiency but also a construction firm’s culture and leadership. AI helps people get better at their regular jobs by facilitating improvement in their tasks. Construction is a people-centric industry in which AI offers a plethora of benefits. Here are the real-world benefits of AI in construction:

Benefits of AI in Construction:

1. Parametric Design in Construction Projects:

Parametric design refers to employing AI to change design parameters and accomplish previously unachievable designs. AI is capable of evaluating thousands of design blueprints as project source material before utilizing new knowledge and then creating its own concepts.

Machine learning algorithms help create designs without limits. These algo can create multiple variations of the same project to explore different benefits. It is also possible to maximize design within the constraints like dimensions or budget.

You can outsource a construction app development project that will help you create high-utility construction designs within limited space and at a low cost.

2. Streamline Project Management:

Utilizing AI in construction software development will help streamline project scope even in exceptionally large and complex construction projects. Being listed among the top mobile app development companies, we develop construction apps to vet projects for potential bids and assess the feasibility of project plans.

Our developed construction software offers predictive maintenance recommendations and modifications that might not be scheduled or planned. We develop AI-based project management tools for construction projects that vet prospects, manage timelines, and watch costs.

3. AI hiring helps in Staffing:

Construction managers often face the stress of hiring. AI technology analyzes applicant data and compares it to a complete company profile to determine suitability based on experience. This not only makes a recruiting manager’s job easier, but it also automatically identifies the best prospects.

AI analyses the qualified applicants and flags problems with current employees. You can hire mobile app developers who will develop AI-based construction apps that can predict employees who are close to leaving. This can inform management’s decision-making for taking the appropriate actions to help employees grow.

4. Improved Safety:

AI technology can use learned information to inform a project about specific job-site safety best practices. This oversight ensures worker safety and reduces accidents in one of the most dangerous industries in which to operate. For example, artificial intelligence (AI) deployed in construction wearables such as hard hats and boots can alert workers to workplace hazards.

AI tech meets and exceeds safety regulations by flagging potential workers and worksite hazards.

5. Upgrade Precision with Autonomous Tech:

There are various technologies like drones and construction robots that are leveraging AI to complete tasks with precision and reduce material waste. The AI-based robots can perform tedious routine jobs quickly and accurately without fatigue.

Drones, on the other side, can use AI software to contrast blueprints to aerial land surveys and identify if there is any need for changes to manage unforeseen obstacles. The surveillance drones can also monitor sites for security threats.

6. Better Results with AI Quality Control:

Mistakes and flaws are an unavoidable aspect of construction; thus, the inspection procedure is critical. Inspections, on the other hand, take time. Also, this is the last thing a project manager on a tight deadline wants.

This is where AI can help. Drones, robotics, and sensors can all record photos and data. The data can then be analyzed by software to find faults, structural weaknesses, and situations where the work drone fails to fulfill specifications.

7. Predictive Maintenance Helps in Reduced Downtime:

Construction organizations own a variety of equipment, ranging from heavy machines to computers. Maintenance is necessary for any piece of equipment. For example, construction vehicles require oil changes, and computers eventually need to be replaced. Companies can use predictive maintenance powered by artificial intelligence to get a precise schedule for when equipment needs to be maintained, repaired, or replaced.

Potential Challenges of AI in Construction:

There is a promising future for AI in construction, with ongoing advancements in technology. But it is not all sunshine and rainbows. There are various challenges associated with AI in construction that should be addressed:

a. Data Security and Privacy Concerns:

Going for digitization means transferring a huge amount of data into computerized systems, which brings questions of security and privacy. Construction companies should give utmost priority to robust cybersecurity measures for data protection.

b. Integration with Existing Systems:

There are many construction companies that have already started leveraging mobile app development services. They already have tools like project management systems. Thus, integrating AI seamlessly could be a complex process.

At Octal, we have experience developing top real estate apps that use AI and seamlessly integrate with existing systems.

c. High Initial Cost:

Although there are significant long-term benefits of AI in construction, the initial outlay of money can be a barrier for some companies. Striking a balance between upfront investments and long-term gains is crucial for successful adoption.

d. Ethics and Governance:

The construction business is subject to a variety of rules, and it is critical that AI applications comply with these regulations. Navigating the legal landscape to ensure the ethical and legal usage of AI technologies is a difficulty that construction firms must face.

e. Digital Debt:

The construction industry is farther behind than other industries in adopting digitization or, in fact, AI. Thus, the transition to using AI in day-to-day construction work will be a difficult one to compete with every little groundwork laid.

Future of AI in Construction:

AI, Robotics, and IoT in construction can reduce real-estate project costs by up to 20%. AI will not just help reduce costs, streamline workflows, and ensure easy inspections but also keep job sites organized and safe.

The use of AI in construction will bring operational efficiency and redefine business models. Adopt a digital transformation mindset and begin considering how AI may enhance the operations and financial performance of your construction company right now. You may become a leader in your sector and stay abreast of market demands and industry changes by becoming an early adopter.

Wrapping Up:

In this article, we have gone through various aspects of AI in construction, including its impact, benefits, use cases, and potential. Octal IT Solutions is amongst the top real estate software development companies and provides top-notch AI development services.

If you have questions like “How to build a real estate app?” then look no further than us. We will help you in every aspect of real estate app development, from concept to maintenance. Let us know your requirements.

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THE AUTHOR
Managing Director
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Arun G Goyal is a tech enthusiast and experienced writer. He's known for his insightful blog posts, where he shares his expertise gained from years in the tech industry. Arun shares his knowledge and insights through engaging blog posts, making him a respected figure in the field.

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