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:
ERV prediction
Estimated Rental Value (ERV) model. To provide insights into the residential rental market.
AVM
Automated Valuation model. To predict and automate the process of valuations of assets.
Area intelligence
Area analytics gives you the insights in the aresa of your real estate assets.
Tenant Matching
Predict lease-up time, mutation grade and 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
Power of the AI model
Our application helps your real estate company to get insights from the 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.
Press
Clappform B.V.
Parlevinker 17
1186 ZA Amstelveen
info@clappform.com
