AI transforms the way the real estate sector operates

In recent years, artificial intelligence (AI) has positioned itself as a generator of unprecedented changes in various industries, and the real estate sector has been no exception. From automating tasks to improving decision-making, AI is transforming the way key players operate in this sector, which is a pillar of the economy.

Nearly 42% of global companies already use AI in their daily processes and this number is projected to grow exponentially by 2024, according to IBM Global research. Even in countries like Mexico, this application of AI will have greater penetration, due to external factors such as the arrival of nearshoring, which demand practical, simple and standardizable solutions.

HelloSafe’s report on AI market share worldwide mentions that Mexico is the fifth country in the Latin American region with the highest AI adoption rate. This fact not only highlights Mexico’s willingness to adopt artificial intelligence tools, but also highlights the opportunity that is presented both for companies already established in the country and for those considering entering the Mexican market.

In this context, the importance of further promoting the adoption of artificial intelligence in Mexico is highlighted. Doing so would not only improve the efficiency and productivity of companies, but would also be beneficial to encourage a greater presence of technology companies, since their active participation can trigger a positive effect on the expansion and development of the artificial intelligence ecosystem in the country.

In the case of the real estate sector, the use of this technology has completely redefined the game by improving and optimizing all processes to meet the highest quality standards that both brokers need and clients demand. Among the most notable changes that AI has generated in the real estate sector, the company Tuhabi highlights the tailored search processes, through advanced algorithms that understand the individual preferences of potential clients; property valuation with predictive models and machine learning algorithms; better customer service with chatbots; real estate market predictions, since AI models can analyze historical and current data to predict future trends in the real estate market.