Systems and methods for artificial intelligence guided sellling

A method of automated feature generation for entities, comprising:

• identifying, by one or more processors coupled to a non-transitory memory, a dataset corresponding to an entity, the dataset comprising a plurality of characteristics of the entity, a plurality of historic actions performed by the entity, and a plurality of historic events involving the entity, the plurality of historic actions associated with one or more products or services;
• generating, by the one or more processors, a hierarchy data structure corresponding to the entity based on the dataset corresponding to the entity, the hierarchy data structure defining a first data level for a first subset of the dataset and a second data level for a second subset of the dataset;
• generating, by the one or more processors, a feature set based on a first featurization process applied to the first subset and a second featurization process applied to the second subset;
• and
• executing, by the one or more processors, a machine-learning model associated with the entity using the feature set as input.