Residential Real estate
Smart solutions for a better society
Get valuable insights out of your data with an integrated platform for all functionalities. Track market changes, predict rental prices and get the best information on your portfolio at any time.
Residential real estate applications
Forecasts based on machine learning can make your business applications smarter. However, this is still difficult in practice and many data scientist teams experience similar difficulties:
Estimated Rental Value (ERV) model. To give insights into the residential rental market.
Automated Valuation model. To predict and automate the process of valuations of assets.
Area analytics gives you the insights in the aresa of your real estate assets.
Predict the lease-up time, the mutation grade and the potential of new tenants.
"Artificial Intelligence will become a regular part of a real estate professional's business assets. With the Clappform tool, my employees can use AI on a daily basis in operations to better value real estate properties, determine rent, and complete acquisitions."
Huib Boissevain - CEO Annexum
Predictive model (AI)
Our application helps your real estate company to get insights from your data. The predictive model analyzes patterns in the data from your assets to predict future outcomes. Using the predictive model allows you to maximize lease-up time, calculate the optimal rental value, compare different assets and give you the best information at any time.
By using the Area Analytics application, you can gain insight into the location of the residential property. By combining various public and private data sources, you get a complete overview of the region and the potential of an area. Users use the Area Analytics application to properly translate behavior from online data to the real world.
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