Using Machine Learning and AI technologies, the growing amount of data that is not necessarily related to private or residential aspects, is now used to build predictive models for evaluating the best scenarios in relation to comfort desires but also with the financial potential of the users.
People use smartphones and generate a footprint that can be analyzed to understand who they are, how they behave and what their archetype is in relation to their habits and residential comfort profile.
Analyzing social networks, online footprint, psychometric profiles, Telco mobility, ECONNEXT highlights knowledge about users, character, personality, community and geography in which it is located, generating valuable information that is very predictive about the state of mind , emotional states and desires or financial effort of the user.