How can we use AI for real estate?
How can we use AI for real estate?
Machine learning on Amazon Web Service cloud provided a strong revenue stream for Amazon.
Moreover, firms can use AI services easier than before with the help of AWS. Netflix and Zillow are outstanding examples of utilizing AI real-time data analysis power on cloud.
A lot of people are afraid of working hard in the real estate industry and AI can help them to do their job much better than before. Real estate is a huge business and it helps people to find their dream homes and apartments.
Real Estate FinTech embraces Ai!
Skyline just made 3 million in seed funding for machine learning in the real estate industry. It just got 18 million in round A. According to Techcrunch, the round was led by JLL, a top real estate investment management firm. Skyline has claimed that they have more than 50 years of market data. The platform contains various property deals and it can do underwriting and deal signing too.
This is an interesting start to use AI in the real estate industry. Having the best dataset and giving accurate suggestions. Moreover, can be the key to become a trustworthy tool for real estate investors.
There are 3 ways that AI can help real estate investors:
Firstly,AI can give different sets of recommendations based on the user’s needs. Real estate brokers can cross check their own recommendation with AI and give a better recommendation overall.
Secondly, an AI chatbot is able to track people who have visited your portfolio and chat with them 24/7. It means that customers can get the newest real estate deals 24/7. That can be a great help.
Thirdly, using AI early can start building user’s data early. After chatting with users, AI is able to collect various information from the interaction. Lastly, AI can check the rate of default based on the interaction with the user. In conclusion, there are a lot of benefits of collecting user’s behavior data early.
