Thinking about real estate companies that spend a lot of time analyzing unpromising prospects, we've created a customizable solution to save real estate sellers time and effort. We work with clients in all stages in their data-driven path, from companies just starting to learn about the importance of data collection, to companies already dedicated to data science process and its benefits.
Real estate companies lose a lot of time in analyzing not promising prospects. A lot of people may show interest in buying a house, but only a few ones will effectively buy them. This low-productivity process normally results in a high cost in time and effort for the real estate sellers who are pressed on time to deliver sales.
By prioritizing the prospects with a higher probability of closing, we save real estate agents time and allow them to focus on the prospects that matter. By analyzing historical and current data, we assist in your real estate agents decisions giving them the most relevant prospects according to custom features.
We use artificial intelligence prediction models to deepen analyze the real estate market. To optimize the likelihood of customers buying real estates, we analyze the main factors behind the customer's behavior, most of the time unknown and impossible to be check without the data science process.
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