This article was written and published in Spanish and has been translated into English via Google Translate. Click here to read the original article.
Proptech will have an impact on traditional business operating models, as suggested by the latest CBRE report published this month entitled Global Real Estate Market Outlook 2018. Whether this impact is positive or negative depends to a large extent on how real estate agents will use them to their advantage.
Looking at the relentless wave of innovation over the last decade, it is not surprising that this trend extends to the real estate sectors, an industry that is ready for disruption. We know that a tendency is established when it becomes a noun or verb in itself. Terms like Google, social networks, fintech and proptech did not exist 10 years ago, but now they are commonly used.
Application of Augmented Reality in PropTech
AR is a branch of virtual reality, the general term for experiences created using real-world content, computer-generated content (CG) or a combination of both, which allows users to experience the real world without having to be physically there. AR is a combination of both: superposition of CG content in the real world. A popular example of AR technology is Pokémon Go, which has redefined the experience of mobile gaming.
Compared to the current practices of linking to websites or physical visions, applications such as Floored (which is currently part of CRBE) have helped to increase customer participation as there are more interaction and visualization. Both owners and occupants can also save time since they do not have to be physically present for visits and can only view several configurations at the touch of a button.
How is the PropTech industry transforming the Virtual Reality?
Application of Artificial Intelligence in PropTech
The report referred to Zillow as an example of AI that is able to extract information from the data. The Zillow app is the largest real estate portal in the US. UU It provides a "Zestimate" or a valuation of the property on which the user makes a query, as well as a forecast of property value trends of up to one year. These features provide users with more visibility and support their decision-making process based on real data.
When it comes to property-related decisions, AI can help reduce options based on the financial situation, requirements and user preferences, allowing you to save a lot of time and money. Scrolling through endless pages of listings can become a past activity for both buyers and intermediaries since optimal options are selected by AI.
This article was written and published in Spanish and has been translated into English via Google Translate. Click here to read the original article.
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