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Building the Future: How AI Transforms Real Estate

In an industry traditionally dependent on human power and expertise like real estate, artificial intelligence (AI) is emerging as a game-changer. From enhancing security to offering effective insights, AI is reshaping the way we buy, sell and manage commercial properties. In this blog post, we explore the significant ways AI is revolutionizing the real estate business, bringing a wave of innovation that is set to redefine the future of property transactions and management.


June 26, 2024

How AI Transforms Real Estate

In an industry traditionally dependent on human power and expertise like real estate, artificial intelligence (AI) is emerging as a game-changer. From enhancing security to offering effective insights, AI is reshaping the way we buy, sell, and manage commercial properties. As technology continues to advance, the integration of AI in real estate promises unprecedented efficiency, accuracy, and customer satisfaction. This transformation is not just about adopting new tools but rethinking the entire real estate ecosystem. In JLL's 2023 Global Real Estate Technology Survey, AI and generative AI were ranked among the top three technologies anticipated to have the most significant impact on real estate over the next three years, according to investors, developers, and corporate occupiers.

In this blog post, we explore the significant ways AI is revolutionizing the real estate business, bringing a wave of innovation that is set to redefine the future of property transactions and management.

What is AI Video Analytics?

AI Video analytics in real estate refers to the use of advanced technologies to automatically analyze video footage and extract actionable insights from properties. This technology enhances traditional video surveillance by enabling automated monitoring, data analysis, and real-time decision making. Video analytics improves security through real-time monitoring and alerts, enhances operational efficiency by automating routine tasks and optimizing energy use, and elevates customer experience with personalized services. Video analytics offers significant benefits, including cost savings, improved security, and better resource management, making it a transformative tool for the real estate industry.

For more details about Video Analytics, read our glossary.

How AI Video Analytics Transforms Real Estate

Property Management

Video analytics transform property management by enhancing security, monitoring tenant activities, and ensuring compliance. This technology provides real-time insights into occupancy rates, detects maintenance issues early, and identifies unauthorized access. It streamlines operations by automating routine tasks, reducing costs, and improving tenant satisfaction.

Sales and Marketing

AI video analytics revolutionizes commercial real estate sales and marketing by providing valuable customer insights into behavior and preferences. By analyzing video data from property viewings and open houses, it tracks which areas attract the most attention, enabling marketers to highlight key features. Enhanced virtual tours with interactive elements and real-time analytics offer a personalized experience, driving higher engagement and conversion rates. This technology streamlines the sales process and gives real estate agents a competitive edge in the market.

Construction and Organization

AI video analytics enhance real estate construction and organization by improving project efficiency and safety. Advanced video surveillance allows professionals to monitor progress, adhere to timelines, and maintain quality standards. Real-time detection of safety hazards enables preventive actions and regulatory compliance. Additionally, tracking labor and equipment usage optimizes resource allocation and reduces downtime. This technology boosts security, operational efficiency, and informed decision-making, leading to more successful and timely project completions.

Facility Management

AI video analytics significantly enhance facility management in real estate by optimizing building operations. Advanced video surveillance systems enable continuous property monitoring, swiftly identifying maintenance issues like leaks, electrical faults, or security breaches. Real-time occupancy tracking improves space utilization, ensuring efficient facility use. Additionally, this technology enhances security by detecting unusual activities and providing immediate alerts for rapid response. Video analytics also support energy management by monitoring systems, reducing energy consumption and costs.

Benefits of AI Video Analytics in Real Estate

By harnessing the power of video analytics, the real estate sector can achieve enhanced planning, optimized operations, and improved security measures. AI video analytics is poised to revolutionize the way real estate professionals manage and develop properties. Here are some examples.


  • Virtual Tours: Integrating video analytics with virtual tours can provide potential buyers with interactive and personalized viewing experiences, increasing engagement.
  • Customer Behavior Analysis: Video analytics can track and analyze visitor behavior during property tours, providing insights into their interests and preferences, aiding in the planning of future projects.
  • Project Progress Monitoring: Video analytics can monitor construction sites, track progress, and ensure that projects are on schedule, facilitating better planning and resource allocation.
  • Space Utilization: Video analytics can provide detailed insights into how spaces are being used, helping in optimizing layout and improving space management in future developments.


  • Maintenance Monitoring: By analyzing footage, video analytics can identify maintenance issues, such as leaks or structural damages, before they become major problems, ensuring smooth operations.
  • Energy Management: Video analytics can optimize energy usage by monitoring occupancy and adjusting lighting and HVAC (Heating, Ventilation, and Air Conditioning) systems accordingly, leading to more efficient operations.
  • Occupancy Analytics: Understanding occupancy patterns can help in making informed decisions about space allocation, improving tenant satisfaction, and reducing operational costs.
  • Personalized Marketing Strategies: By understanding customer behavior, real estate agents can tailor marketing campaigns to target specific demographics more effectively, improving operational outcomes.


  • Security Surveillance: Video analytics can monitor properties in real-time, detect unusual activities, and send instant alerts to security personnel, enhancing overall safety.
  • Crime Prevention: Advanced video analytics can detect suspicious activities and alert authorities in real-time, preventing potential crimes.
  • Access Control: By integrating with access control systems, video analytics can enhance security by ensuring that only authorized individuals enter restricted areas.
  • Safety and Compliance: Analyzing video footage helps in maintaining safety standards and compliance by identifying hazardous conditions and ensuring workers adhere to safety protocols.

More about Isarsoft

With Isarsoft Perception, your camera systems become part of your business intelligence. Whether the goal is to increase efficiency, customer satisfaction, or safety, Isarsoft Perception provides the insights needed for informed decisions.

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What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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