A machine learning algorithm analyses the properties and historical and current data of a property. This results in a score by which the attractiveness of an object can be evaluated.
In the real estate sector, assessing the attractiveness of the situation remains a key success factor.
Machine Learning algorithms can help to assess attractiveness by evaluating historical sales and offer data and automatically analyze the proximity to highways, public transport, popular restaurants, residential areas and shopping opportunities using satellite images.
Taking into account the pre-defined criteria and historical data, attractive properties and locations for rental, sale or project development are identified and a "score" for assessing their attractiveness is developed.