Zumper, the third largest provider of online apartment rental platform in the US, on Thursday (11/3) introduced PowerLeads AI, an application that leverages the power of AI to analyze the behavior of the apartment rental market.
PowerLeads AI will proactively identify potential tenants who are most likely to rent an apartment soon. The smart application analysis proved correct thanks to its three main components.
The three components, namely Power Prospects, which statistically identify and tag tenants and are twice as precise in predicting whether someone will lease soon or not; the application allows to provide more than 50 unique tenant characteristics that make it easier for apartment rental agents to find out what prospective tenants want.
Then, the application is also able to provide the latest information about the direction of interest of prospective apartment tenants in real time, thus helping rental agents to provide or direct apartment units to be offered to the market.
According to Tanguy Le Louarn, Zumper’s Chief Growth Officer, the PowerLeads AI platform he has developed is the answer to the desire of most apartment rental teams to understand which prospective tenants might rent faster or not more easily and more accurately.
“So, we know that it is very important to solve this challenge with industry-first solutions,” said Le Louarn at the launch. “By providing insights and predictive data based on advanced AI and machine learning capabilities, we not only provide high-quality prospects, but also enable a faster leasing process.”
The Zumper online apartment rental platform is well known in the US because of its rapid development. One in three adults in the region have used the platform because renting an apartment is as easy as booking a hotel room.
This success did not escape from Zumper’s success in collecting funding from investors. Since its founding in San Francisco in 2012, the company has raised more than US$140 million in funding from a number of investors, including E.ventures, Greycroft, Stereo Capital, Dawn Capital, Kleiner Perkins, Goodwater Capital, Andreessen Horowitz, Greylock, and CrunchFund.