Next-Gen(AI) Real Estate: GenAI's Paradigm-Shifting Innovations Redefining the Industry

Imagine yourself stepping into your dream home before it even exists. Think about customizing that home without lifting so much as a finger. No, we’re not describing a futuristic fantasy. We are talking about today’s reality. 



Imagine an AI algorithm that generates personalized property listings based on your preferences. Or one that creates detailed 3D models based on simple descriptions!

Enter generative AI in real estate! When we talk about real estate software development, we definitely can’t skip GenAI. It is among the top real estate technology trends

GenAI’s market size is expected to be at USD 1,047 million by 2032 as compared to USD 437.65 million in 2024. (refer image below). 


It is quite apparent that GenAI will impact business leaders plans in 2024. As specialists in the field of Gen AI development services, TRooTech’s AI/ML experts have been involved in research, experimentation, and collaboration to dive deep into GenAI. 

Our AI specialists and Machine Learning experts work tirelessly to understand its models and architecture. 

Our mission is simple: to perform in-depth research into this powerful technology and see how we can help businesses exploit its full potential. 

Generative AI in Real Estate – Our Insights

Our expertise in the realm of AI development and continuous exploration by our AI/ML engineers and specialists has enabled us to help our clients realize both, the capabilities and limitations posed by AI in real estate industry. 

While working with AI, we have noticed that real estate companies gain around 10% (or more) of their net operating income when they deploy efficient GenAI models. They can deliver better customer experience, retain tenants, drive revenue, and improve asset selection. 

Our journey into the realm of generative AI has led us to various breakthroughs and insights. Based on our learning and ongoing research, we’ve broken down generative AI in real estate for you. 

  1. Talking about its commercial viability, using generative AI in commercial real estate goes beyond matching properties and clients. It is also transforming market analysis by predicting future trends. 
  2. GenAI has the potential to sift through large data volumes quicker than any human workforce. This can be extremely beneficial for real estate professionals. 
  3. AI in real estate can be leveraged to anticipate shifts in market dynamics to optimize strategies in real-time. 
  4. Real estate professionals can use this technology to obtain data-driven insights to formulate strategies that drive both revenue and outcomes. 
  5. Gen AI can help showcase properties with different interior designs, furnishings, and layouts by virtually staging properties. 
  6. By leveraging data analysis and Machine Learning, generative AI in the real estate industry can provide personalized property recommendations to potential buyers based on their preferences, budget, location, and other criteria.
  7. The technology will help investors make more informed decisions – thanks to its ability to analyze large datasets, trends, property values, and investment opportunities. 
  8. With GenAI, delivering exceptional customer experiences is super easy! It offers personalized interactions and tailored recommendations to improve overall experiences for buyers, sellers, renters, and real estate professionals. 

Whether you are a real estate agent or a property manager, GenAI can help you unlock potential and benefits. Don’t just take our word, read these key Artificial Intelligence statistics and facts on GenAI in real estate. 

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Key Generative AI in Real Estate: Statistics

Generative AI Is Redefining Real Estate

Based on these statistics, one thing is clear. Generative AI in commercial real estate isn’t just reshaping it, it is redefining it. 

So, what is the next step for business leaders and real estate professionals? Understanding how to maximize the full potential of GenAI to drive client satisfaction.

With years of experience constructing GenAI-based Large Language Models for real estate clients, we, at TRooTech have gained a thorough understanding of capabilities offered by generative AI in real estate industry. 

We bring you, some leading use cases of generative AI in real estate and how businesses can prepare themselves for a GenAI implementation. 

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Top Use Cases of Generative AI in Real Estate

1 Reviewing Large Volumes of Lease Agreements

Lease-related agreements are filled with technical and legal jargon. Owners find it difficult to browse these documents and find relevant information. GenAI-based tools offer an advantage. Here’s how: 

  • Speed: Gen AI can quickly analyze lease agreements and summarize key themes across the leases, such as how much rent is expected monthly. 
  • Accuracy: AI algorithms can detect errors, inconsistencies, and potential issues in lease agreements with high accuracy.
  • Comprehensive Analysis: Gen AI can scan through lengthy documents and identify key clauses, terms, and obligations efficiently.
  • Reduced Risks: GenAI can detect potential risks and legal implications to help stakeholders make informed decisions. 
  • Language Processing: AI algorithms can understand legal language and terminology, enabling them to interpret complex clauses and provisions accurately.
  • Resource Optimization: GenAI efficiently automates the review process. This frees up human resources, allowing legal professionals to focus on more strategic activities.

2 Simplifying Real Estate Interactions

Using AI in real estate can ease how real estate stakeholders interact with their clients. Using GenAI, businesses can create a bot that can easily handle queries and interactions related to real estate.

Let’s see how generative AI in real estate is beneficial for smooth client interactions:

  • Efficiency: Gen AI streamlines various real estate processes, such as property searches, document preparation, and client communication, reducing the time and effort required for these tasks.
  • Automation: AI automates routine tasks, such as scheduling appointments, sending notifications, and updating listings. This frees up real estate professionals.
  • Personalization: AI algorithms can personalize client interactions by analyzing their preferences, behavior, and past interactions. Agents can offer tailored recommendations and personalized experiences. 
  • Enhanced Communication: AI-powered chatbots and virtual assistants allow agents to offer instant responses to client inquiries, schedule meetings, and address concerns in real-time.
  • User Friendliness: AI-powered tools and platforms make real estate information and services more accessible to a broader audience, including individuals with disabilities or limited mobility.
  • Handle Requests: Gen AI bot can manage tenant requests. If a tenant wants to request maintenance, they can directly prompt the AI bot and contact maintenance staff.

3 Offering Virtual Tours and Immersive Experiences

Imagine if your client could visualize exactly how a property would look in their preferred style or finishes. Generative AI in real estate lets you do just that. 

GenAI tools let potential clients and tenants visualize how the room or space would look when it is decorated. Let’s see how realtors can benefit from this. 

  • Immersive Experience: AI-generated virtual tours provide highly immersive and realistic experiences to users. This increases engagement and interest.
  • Improved Accessibility: Gen AI-powered virtual tours enable prospective buyers or renters to explore properties remotely from anywhere in the world. This eliminates the need for physical visits and expands property listings. 
  • Cost Savings: Virtual tours reduce expenses associated with staging and conducting in-person property viewings. This saves both time and resources for real estate agents and sellers.
  • Time Efficiency: Gen AI can generate virtual tours quickly and efficiently. Potential clients can view properties without delay, accelerating the sales or rental process.
  • Customization: Virtual tours can be tailored to specific preferences and requirements. Users can explore different rooms, view amenities, and visualize potential modifications or renovations to the property.
  • 24/7 Availability: Virtual tours powered by Gen AI can be accessed at any time. Prospective buyers or renters can explore properties at their convenience.
  • Higher Engagement: Interactive features such as 360-degree views, floor plans, and annotations enhance user engagement.
  • Remote Collaboration: Virtual tours boost remote collaboration between real estate agents, buyers, sellers, and other stakeholders, allowing for real-time discussions, feedback, and decision-making. 

4 Devising Quicker and Accurate Investment Strategies

Whenever investors want to make a property-related decision, what do they do? 

First, they start by performing a macroanalysis of market factors. Next, they conduct a more detailed analysis to locate areas of interest. 

Finally, they carry out an analysis to understand the performance of their past investments before making the final decision. Generative AI in real estate speeds up this process and makes it more efficient.

Let’s see how real estate investors benefit from this. 

  • Real-Time Data Analysis: Gen AI analyzes real estate data like market trends, property values, rental rates, and economic indicators, to identify investment opportunities. 
  • Alternative Data Analysis: Gen AI tools process unstructured data sources like news articles, social media sentiment, satellite imagery, etc. to reveal hidden trends and insights. 
  • Predictive Modeling: Gen AI algorithms generate predictive models to forecast future market conditions, property performance, and investment outcomes. 
  • Risk Assessment: Gen AI evaluates investment risks by analyzing historical data, market conditions, and external factors, such as regulatory changes or economic fluctuations. 
  • Optimize Portfolio: AI-powered tools identify underperforming assets, opportunities for diversification, and potential areas for growth to optimize real estate portfolios. 
  • Market Insights: AI algorithms provide valuable insights into market dynamics, demand-supply trends, demographic shifts, and competitive landscapes. 
  • Scenario Analysis: Gen AI conducts scenario analysis to evaluate the impact of different investment strategies, market scenarios, and risk factors on investment performance to facilitate informed decision-making.
  • Speed: GenAI tools analyze investment opportunities, assess risks, and execute transactions more quickly. Hence, investors can capitalize on time-sensitive opportunities. 
  • Streamlined Processes: AI streamlines the investment process, property sourcing, and due diligence to financial modeling and performance monitoring. 
  • Accuracy: AI-driven analytics offer accurate and reliable investment recommendations that enhance decision-making. 

5 Creating Architectural Plans to Optimize Desired Outcomes

Just like website design uses proven patterns to boost sales, AI in real estate can analyze architecture to find hidden principles. These principles can then be used to create building plans that achieve specific goals. 

Here’s how professionals can benefit from GenAI tools to create architectural plans. 

  • Speedy Designing: Gen AI generates architectural plans quickly and efficiently, eliminating the time required for manual design iterations and revisions.
  • Optimized Outcomes: Gen AI optimizes architectural plans to match desired outcomes, like, space utilization, energy efficiency, natural lighting, ventilation, and aesthetic appeal. 
  • Exploration of Design Alternatives: AI-driven tools enable architects and designers to explore multiple design alternatives and variations rapidly, enabling creative experimentation. 
  • Data-Based Designing: GenAI can analyze vast datasets of existing buildings to determine positive design elements and incorporate them into architectural plans. 
  • Integration of Stakeholder Feedback: GenAI tools integrate client and stakeholder feedback into the design process, ensuring that the final architectural plans meet desired outcomes. 
  • Customization: AI algorithms can tailor architectural plans to specific requirements, preferences, and constraints, ensuring that the design aligns with the desired outcomes and objectives.
  • Iterative Improvement: GenAI algorithms learn from past design experiences and user feedback and continuously improve their design capabilities. 
  • Visualize Creative Designs: Generative AI in commercial real estate explores vast design spaces to generate creative layouts and configurations optimized for factors like sunlight exposure, noise reduction, air quality, etc.

Below is a visual illustration of how architecture assisted by Gen-AI tools would look like. 

visual illustration of how architecture assisted by Gen-AI tools would look like.jpg
Source: McKinsey research and experience with sensor and computer vision data

6 Creating Architectural Plans to Optimize Desired Outcomes

GenAI uses a combination of Natural Language Processing (NLP) techniques and Deep Learning algorithms to generate property descriptions. Let’s explore how real estate agents can benefit from this. 

  • Increased Efficiency: Gen AI can generate property descriptions quickly and at scale, reducing the time and effort required for manual writing.
  • Task Automation: GenAI automates the process of writing descriptions. Real estate agents and marketers can focus on other critical tasks, such as client interactions and property management.
  • Consistency:  AI-generated descriptions maintain a consistent tone and style across listings. 
  • Personalization and Customization: GenAI can tailor descriptions based on specific property features, target audiences, and marketing strategies, leading to more personalized content.
  • Language Proficieny: AI can generate descriptions in multiple languages, expanding the reach of property listings to diverse audiences.
  • Scalability: Gen AI can handle large volumes of descriptions effortlessly, allowing real estate professionals to scale their operations without compromising quality.
  • Data-Driven Descriptions: GenAI consistently analyzes user interactions and feedback to improve its language generation capabilities. As a result, it can create more effective property descriptions over time. 
  • Adaptability: Gen AI adapts to dynamic real estate environments and market trends. Thus ensuring that property descriptions remain relevant and compelling. 

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How can real estate stakeholders unlock the full value of GenAI?

While GenAI offers exciting possibilities for the real estate industry, businesses need to do more than just hire AI developers and build foundational models. 

Real estate companies must go deeper and develop a more strategic approach to leverage GenAI's transformative power.

Businesses in real estate can unlock new competitive advantages by embracing innovative ways of working within the value chain.

Build a C-Suite Around a Business-Led Road Map Tied to a Specific Part of the Real Estate Value Chain

CEOs who want to benefit from GenAI must embrace a start-up mentality. 

Prioritize cutting-edge technology, build internal expertise, and adopt agile delivery methods. Experiment, adapt, and disrupt your operations to stay ahead of the strategic curve. 

Real estate leaders need to move beyond traditional IT departments to unlock the true potential of GenAI. Here’s how to do that. 

  • Focus on a nimble team of engineers and designers who understand the importance of generative AI in the real estate industry. Their focus should be on identifying and implementing high-impact GenAI use cases. 
  • C-suite executives need to understand their specific role in the real estate value chain (e.g., development, operations, investment). This will assist them in identifying areas where AI in real estate can improve tenant, employee, and stakeholder experience. 
  • Restructure traditional hierarchies and structures likely to hinder GenAI adoption. Businesses must consider redesigning roles and teams that enable collaboration and focus on GenAI implementation.
  • Executives must be open to integrating GenAI as a new layer of technology across the entire organization.
  • Elevate your workforce’s potential to facilitate collaborative models that can effectively leverage Gen AI’s capabilities. 

Prioritize Collecting and Leveraging New, Exclusive Data Sets to Fuel Your GenAI Initiatives

Access to unique and informative data will influence the future of generative AI in real estate. Remember: The right data can power highly targeted GenAI applications.

Here’s what real estate business owners need to keep in mind.

  • Businesses that can access and leverage exclusive data sets will gain a significant edge in generating valuable insights using GenAI.
  • Don't just rely on existing data. Identify what additional information you need and what unique data you can collect about tenants and properties to support your GenAI strategy.
  • Ensure that your data is properly structured and governed to maintain usability and reliability.
  • Make use of data from various sources. These include tenant apps, building sensors, and foot traffic data to gain an in-depth idea of how people interact with your spaces. 
  • Store your data in a central, company-controlled data lakehouse instead of relying on third-party systems. This will allow flexibility, easier system switching, and internal data analysis across different buildings, tenants, and spaces.
  • Be mindful of data ownership rights when choosing vendors. Prefer vendors you can easily access and work with your data across your entire technology stack.

Build a Collection of Prompts Specifically Designed to Generate Relevant and Valuable Outputs From Foundational AI Models

Unlocking the power of generative AI in commercial real estate requires building a robust prompt library.  Here's why:

  • Foundational GenAI models rely heavily on the quality of the prompts they receive. The right prompts unlock valuable insights and outputs.
  • Generic prompts aren’t enough. Your library should be tailored to real estate data, like resident history and property details.
  • Keep in mind that the slightest changes in prompts can affect GenAI output. Tets and iterate to ensure prompts deliver the desired results. 

Create Digital Tools that Focus on Actionable Outcomes

While large language models can be intuitive for basic prompts, real estate firms need to understand that maximizing their potential requires more than a "plug-and-play" approach. 

Here are some important points you must remember.

  • Keep refining your GenAI outputs. Raw GenAI outputs often require additional digital tools to be truly valuable. For instance, foundational GenAI might generate marketing content. But, it requires grammar and compliance checks before it can be used. 
  • User interface design is important. You must fine-tune the writing style of a conversational AI or create a customer-facing model with the right tone for your audience.
  • Understand the behavior of the GenAI model to build effective user interfaces. 
  • Empower and train your employees to unlock organization-wide innovation in real estate.

Invest in the Latest Tech Stack That Enables Data Accessibility

Hiring software modernization services experts isn’t enough. The success of GenAI is driven by a strong tech foundation. Here’s why: 

  • Using GenAI in real estate requires a unique tech stack with features like security, scalability, user-friendliness, feedback loops, safeguards, and integration capabilities.
  • Built-in features like toxicity checks and hallucination guardrails are important to prevent false information and anti-discrimination compliance. 
  • GenAI relies heavily on specialized tech stack engineering. Businesses must build real estate IT teams with engineering expertise. 

Implement a Scalable Operational Approach That Optimizes Resource Allocation

As generative AI in real estate is transforming princesses like investing, leasing, and more, a concern comes to light. 

There is a need to redesign both operating models and job roles. Here’s why.

  • Traditional operating models are not sufficient. Businesses must adapt their workflows to leverage GenAI’s strengths.
  • Emerging positions like prompt engineers and data engineers will play an important role in implementing and utilizing foundational GenAI models.
  • GenAI can free up existing staff from repetitive tasks. Staff can thus focus on higher-value activities.
  • Departments like IT, marketing, etc., will change with GenAI. Businesses should be open to embracing this change. 

Identify and minimize risks to real estate created by GenAI integration

Generative AI in real estate is relatively new. It is still being studied and faces open questions. The biggest one is, is its training data biased? 

There may be a fair chance of that being the case. These biases may be unintentional but their outputs can create real consequences.

Here’s why businesses must keep their AI models in check.

  • Training data can harbor hidden biases that lead to unfair or discriminatory outputs from GenAI models.
  • The legal landscape surrounding AI is evolving. Thus, questions regarding ownership and use of data-feeding foundational models arise. 
  • Changes made by GenAI providers to the underlying models might have unforeseen consequences. This may cause businesses to rework their prompts to attain desired outcomes. 
  • Using generative AI in real estate might not be suitable in certain situations. For instance, in emergency response or regulation-heavy leasing decisions where explanations are crucial. 
  • Introducing GenAI into interactions between investors, operations teams, and tenants creates new risks to working, living, and shopping environments. These need to be carefully evaluated.

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Gear up Your Business for a GenAI Implementation

The real estate industry is on the brink of a major shift with the rise of generative AI. Generative AI leads the list of top technology trends 2024. 

Progressive-minded firms are already taking steps to embrace this technology in their real estate software development services

Businesses must recruit specialists to lead GenAI transformation and invest in companies at the forefront of this field; such as TRooTech. 

Their AI development team comprises thoroughly vetted AI/ML experts. These experts work collaboratively alongside businesses to identify core business use cases where GenAI can make a significant impact. 

We understand that the current real estate market is volatile. That is why, we follow a strategic approach to avoid unnecessary risks. 

We help real estate businesses stay informed about the latest GenAI developments. We not only help them devise clear and well-defined goals to plan the integration of this powerful technology but also empower them to leverage it to their advantage. 

Partner with TRooTech’s AI/ML experts to transform your real estate business operations and drive revenue. 


AI can be used in real estate to automate tasks (descriptions, chatbots), analyze data (trends, valuations), & recommend properties to renters/buyers.

TRooTech’s experience working with AI models in real estate makes it one of the best AI-infused real estate software providers. However, the tech landscape keeps evolving and you must hire a company that matches your costs, budget, experience, client reviews, objectives, and more.

AI in real estate can streamline property searches, predict market trends, enhance property valuation accuracy, and improve customer experiences through personalized recommendations and virtual staging. It can also build automated processes like chatbots for inquiries.

To hire the best property management software development company, evaluate their experience, expertise in real estate technology, client reviews, portfolio, and ability to deliver customized solutions aligned with your business needs.

Costs vary, but expect $30,000+ for basic features, with complex AI adding significantly more. 

More About Author

Dipen Patel

Dipen Patel is the Chief Technology Officer (CTO) at TRooTech, a leading AI ML Development Services Company. He is a seasoned AI ML Architect with over 15 years of extensive experience in the field of AI ML Development. With a strong passion for innovation and cutting-edge technologies, he has been at the forefront of numerous successful AI/ML projects throughout his career. The company’s expertise in AI ML spans across various industries, including healthcare, finance, manufacturing, and retail.

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