AI gains space in property purchases and raises doubts about the role of the broker
Morada.ai platform shows an increase of 79% in conversations with developers, but few interested parties ask for a broker at the beginning.
BY THE X-TRADER NEWS NEWSROOM · REPORTING FROM INFOMONEY · 2 MIN
Artificial intelligence begins to occupy the most traditional stage of property purchasing, which is the first contact between those looking for an apartment or land and the companies that sell them. According to InfoMoney, Morada.ai, an AI platform focused on the real estate sector, is observing a movement that could change the routine of those who work in intermediation.
The numbers presented by the report indicate that dialogue between consumers and the market is more intense. According to InfoMoney, conversations between those interested in real estate and developers or developers grew 79% in 12 months. In other words, the search for information and assistance has increased, and part of this dialogue now passes through automated channels.
The most revealing fact, however, is how this contact begins. Also according to InfoMoney, only 1.3% of the first messages sent by Morada.ai users request broker service. In practice, most people ask the tool initial questions before any conversation with a person.
The question that the report asks is whether this automated screening reduces the broker's space or just changes the moment at which he enters the negotiation. For those who defend a market with more competition and less unnecessary costs, gaining efficiency in the first contact is, in theory, an improvement. At the same time, the broker remains the professional who usually conducts the closing phase, and the debate revolves around how much of this stage will be absorbed by technology.
There is information that the investigation does not provide and that weighs on the assessment. The report does not detail how much of the final sales go through brokers or how the remuneration for this work is in the face of automation. Without this data, reading about the future of the profession remains in the field of hypothesis.
What changes for the investor
For those who follow companies in the sector, the point to note is commercial efficiency. If automated service gains scale, developers and platforms may have more productivity in the sales funnel, something that appears in conversion and acquisition cost indicators in the balance sheets. The data released so far, however, does not allow us to estimate the impact on prices, margins or results, and there is no basis for drawing conclusions about the behavior of the shares. The most useful monitoring is to check whether the increase in conversations turns into completed sales in the coming quarters.
Automatically translated from Portuguese.
