How AI tools are shaping the Indian real estate sector?

With technological advancement, AI tools are changing the way people find, buy and rent homes.

The real estate market in India is a complex and dynamic landscape, with challenges for both buyers and renters. However, a new era of industry transformation has begun with artificial intelligence (AI). With their ability to streamline procedures, increase productivity and enable people to make wise decisions, these intelligent systems are revolutionising home ownership and rental living ecosystems. Hence, with technological advancement, AI tools are changing the way people in India find, buy and rent homes.

In India, traditional methods, such as browsing through listings and attending property viewings, continue to exist. However, AI algorithms have become the game changer as they analyse big data, including customer preferences, budgets and location requirements, to provide customised recommendations to potential buyers and renters. This has significantly simplified property searches as it saves time and increases the likelihood of finding properties that match individual preferences.

AI has brought about a paradigm shift in virtual home tours. Potential buyers and renters can explore properties remotely, experiencing a realistic virtual walkthrough, thanks to virtual reality (VR) and augmented reality (AR) technologies. This feature especially gained popularity during the pandemic. The technology generates a realistic visual representation of the property, allowing potential customers to examine every detail and get a sense of the space before making commitments. VR and AR have removed geographical boundaries, allowing people to explore properties in different cities without traveling.

Determining the value of a property has always been a critical aspect of the buying and renting process. To provide accurate valuations, AI-powered tools use historical data, market trends and property attributes. These systems consider factors, such as location, amenities, infrastructure developments and comparable property sales, to estimate a fair property value. AI-powered valuation tools, which are based on objective data, allow buyers and renters to make informed decisions and negotiate fair prices.

AI tools are transforming real estate market trends analysis. By analysing large amounts of historical and real-time data, predictive analytics algorithms can forecast market trends, demands, price fluctuations and emerging investment opportunities. These insights allow buyers and investors to make informed strategic decisions by identifying potential real estate hotspots. Predictive analytics also helps people understand the dynamics of the rental market, allowing them to adjust rental prices based on demand and maximise returns.

The home-buying and renting process in the Indian real estate market is time-consuming and often involves extensive paperwork and legal procedures. AI-powered platforms automate documentation, verify legal documents, reduce manual errors and streamline all the processes. This increases efficiency, reduces transaction timelines and lowers fraud risks and discrepancies. AI-powered systems ensure legal compliance and provide buyers, renters and sellers with a safe and transparent environment.

Hence, it can be concluded that AI tools and technology would enable the Indian home-buying and renting ecosystem to enter a new era of convenience, efficiency and transparency. These intelligent systems are changing the way people search for, tour, value and transact in real estate. With AI assistance and predictive analytics, individuals can make informed decisions, save time and effort and confidently navigate the complex real estate market. As AI advances, it would redefine how people buy, rent and live in homes, resulting in a more seamless and empowering experience for all stakeholders in the Indian real estate market.

(The author is Co-founder – NestAway Technologies)

 

Got any questions or point of view on our article? We would love to hear from you. Write to our Editor-in-Chief Jhumur Ghosh at jhumur.ghosh1@housing.com

 

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