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3 Areas of Artificial intelligence in Real Estate That Influence the Most!

Artificial intelligence (AI) is the buzzword in the world of tech industry & its slowly gaining popularity within the layman like us. In general, artificial intelligence (AI) gives the computers a power to process the information and makes decisions like the human brain does!  The most well-known examples of artificial intelligence (AI) are found in mobile devices and smart assistants, such as Apple’s Siri or Microsoft’s Cortana. For example, companies like Facebook and Amazon also use artificial intelligence (AI) for their businesses. And now, it is becoming a mainstay in several industries such as health, finance, transport, education, and so on. Unsurprisingly, the integration of this new technology – artificial intelligence in real estate is upon us. According to techjury – Artificial intelligence (AI) now impacts the real estate industry in the aspects of targeted advertising, market analysis, and client segmentation. It is fair to say that we are in a remarkable period of the AI revolution.

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Artificial intelligence in Real Estate

How Artificial intelligence (AI) Will Change the Face of Real Estate

Forget about the apocalyptic heresies you might have been told about artificial intelligence (AI). Machines are not here to rebel (yet) against humanity and take our work opportunities. According to a recent report by Accenture, investment in artificial intelligence (AI) and human-machine collaboration could increase a company’s revenues by up to 38% by 2022 and increase employment levels by up to 10%.

 Let’s take as an example the commercial departments of consultancies and real estate agencies. The main objective of people who work in these departments is to detect the demand for spaces such as homes, offices, premises, and industrial warehouses that exists in the market.

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Real Estate Agency Do!

All their efforts are focused on reaching the customers who, for example, want to change their office, rent another commercial space for their franchise, or build a new logistics warehouse.

How is this work done at the moment? How do these professionals capture customers? They do so by using the customers database, conducting positioning campaigns on the internet (SEO and SEM), placing posters on the street, or publishing ads on real estate portals. Basically, this model is reactive and unsophisticated — intermediaries rarely anticipate the needs of their clients.

In the near future, this model of advertising will not be enough. Marketers and intermediaries must learn how to use artificial intelligence (AI) and big data to develop algorithms, which will help predict demand before it even occurs. Then, there will be no longer to make sterile cold calls to hundreds of companies to ask if they need real estate services. Only companies and individuals that are already known to have this need will be contacted.

Meanwhile, artificial intelligence (AI) also provides added value in the reactive attention of demand. Recently, an experiment was carried out in which a bot (a robot) competed with several real estate agents. The experiment consisted of giving the bot (a robot) and the agents the basic parameters of the desired home so that both could make a selection of three houses for “the client.”

To serve as a client, a judge was appointed who impartially assessed the selections of the bot (a robot) and the agents.

You have already and rightly imagined that artificial intelligence in real estate (machine) won by a landslide. The dwellings selected by the machine were more adjusted to the needs of the client. The bot (a robot) was able to understand better and more quickly what the client was looking for!

What does this mean? Are the commercials going to disappear? Not necessarily, but in the future, real estate marketers will not need to invest time in making selections but focus instead on accompanying the client in other phases of the commercial process.

In short, the challenge facing the real estate sector with its commercial staff is to provide them with the necessary tools and training in the field of artificial intelligence (AI) in such a way that they can be less commercial/administrative and more commercial/consultants. When it comes to large-scale businesses like real estate sector, AI could act in a similar role to management consultants: like taking a birds-eye view of the business and helping to improve operations, cut costs and improves the general efficiency. The tasks susceptible to automation, such as detection of the demand or the selections of real estate, will have to be left to the machines.

3 Areas of Artificial intelligence in Real Estate

01. Property Valuation

This is one of the first AI applications that the artificial intelligence technology had had in the real estate sector since its evident emergence a few decades ago.

Property Valuation in Artificial Intelligence (AI)

Today, many property evaluations are conducted via traditional statistical techniques with existing error margins that could be reduced by implementing deep learning models. The technology of Artificial intelligence in real estate helps to drastically decrease the human errors in real estate evaluation. Hence, the estimates will have more accuracy and will give more indications to property values in the future.

Currently, the development of this subject is focused on the application of the RNA system, which reproduces the functionalities of the human brain on a small scale.

However, although artificial intelligence (AI) already allows obtaining property valuations by entering simple variables (i.e., number of rooms, square meters, location, etc.), for the moment, this system does not replace humans but rather assists them.

Also Read: Smart Homes: 10+ Benefits of Home Automation Technology!

02. Real Estate Portals

One of the most innovative AI applications is the one used in the real estate portals. It applies to the analysis of millions of images that the portal stores. In this aspect, artificial intelligence (AI) can be used to generate descriptions and labels automatically.

Real Estate Portals in Artificial Intelligence (AI)

Apart from saving a lot of time on this task, it allows making the classification of the content much more efficient than the one generated when it is left in the hands of the end user.

03. Virtual Monitoring

One of the significant advances that the management of construction projects has experienced using the AI applications to monitor the progress of construction works. This application allows you to make forecasts about the viability of land, the deviations of terms, or the possibility of surcharges /variables associated with the project. All these are possible thanks to the processing of large volumes of information.

Virtual Monitoring in Artificial Intelligence (AI)

Artificial intelligence (AI) can also be deployed in property management to predict and monitor, for example, when the maintenance systems in a house need replacement.

Conclusion

The world of AI revolution, technological startups, and disruptive new technologies are also knocking at the doors of traditional sectors of the economy such as real estate.

The field of artificial intelligence in real estate sector is so wide that this technology is being introduced for different applications and fields. In the nearest future, for real estate companies to succeed or keep competing, they would have to get along the line by adopting artificial intelligence (AI) for data gathering, property evaluation, monitoring of works, and accurate predictions of demands before they occur.

Now we must wait for the technology to continue advancing and make us available effective tools for the pre-sale and after-sales in real estate.

Ultimately, Life happens where you live and this is the future and it’s important! We owe it to real estate consumers to improve this experience! Let us know your thoughts and share your ideas!

Also Read:
Smart Homes: 7 Latest Gadgets Which Makes Your Home Smarter!
Real Estate Regulatory Authority (RERA) in India
Penalty by Real Estate Regulatory Authority RERA

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