Artificial Intelligence (AI) is no longer a new concept in the real estate sector. Especially for brokerage firms, AI has already opened many more avenues to support their clients with much greater competence, personalization, and market insights.
By Mr. Vijay Jain, Managing Director, Star Estate
With intensified competition in the real estate market, AI has made significant strides and a lot of difference, especially in the brokerage sector. Despite being new technological intervention, AI has been empowering brokerage firms by automating administrative tasks and helping in the analysis of the market data. AI is also instrumental in offering personalised property suggestions. AI suggests properties based on the preferences of individual clients, improving the overall experience and increasing the likelihood of conversion.
Performing all these tasks flawlessly, AI has equipped brokerage firms with all the necessary tools to work smart and reduce the time spent on routine tasks. AI also contributes to increasing the firm’s focus on delivering superior client service. AI systems handle routine tasks like finalizing properties according to the individual preferences of property buyers.
Apart from boosting the performance of the brokerage firm, AI also helps in saving time by improving operational capacity. Another important feature of AI is its unique capacity to automatically respond to the inquiries of the clients and manage property listings. Handled by AI, these are just a few tasks among others that make up a large portion of the works performed by a brokerage firm on a daily basis.
Most importantly, AI tools can analyse vast databases to predict market trends and property values for the consumers. Making decision-making much easier for them, the unique capability also provides a competitive edge to the brokers. Thus, such facilities have become essential for all the players looking to excel in the real estate brokerage business.
Another area where AI has made a considerable impact for real estate brokers is in marketing the properties being handled by them. Through AI-powered tools like generative AI, the brokers can now create and show lifelike virtual property images to their clients. They can also take their clients on virtual tours of properties using AI tools. Such an enticing feature, it has become especially helpful for the international buyers, allowing them to view properties remotely and finalize decisions through a virtual experience.
With AI, brokers have been able to personalize and plan marketing campaigns based on a client’s preferences and online behaviours. It also helps in targeting the right kind of audiences for particular projects, or specialised property segments. AI further assists brokers in managing their rental property portfolios. Additionally, the ability of AI to predict real estate trends has become even more invaluable for the brokerage firms. Not only it allows them to forecast the property values in future, but it also helps in identifying the emerging trends in the next couple of years.
AI has also transformed the way real estate transactions are financed. It is through AI, the brokers can also analyse the spending habits of their clients. Such information helps in assessing the creditworthiness of any particular buyer. As much as the broker remains informed, deals can be closed more quickly. Thus, as we look to the future, AI is set to bring a sea change in the real estate brokerage segment. At Star Estate, we believe in the advancements of the technology while supporting our customers in quickly identifying their choicest range of properties.
About Star Estate
Founded in 2012, Star Estate is one of the leading real estate consultancy company rendering diverse services in residential, commercial and retail verticals. The company has couple of new avenues in the pipeline to introduce. Star Estate aims to inspire the world by demonstrating that it is possible to provide long-term and sustainable benefits to consumers, entrepreneurs, suppliers, shareholders, and the community all at the same time.
Comentários