System and methods for identification of peer entities

Abstract

In an illustrative embodiment, systems and methods for automatically identifying peer organizations of a subject organization within a transactional platform identify peer organizations of the subject organization by accessing characteristic features and transactional features of the subject organization, providing a portion of the features to similarity analysis models, and obtaining, through executing the models, predicted peer organizations. The predicted peers may be presented to a user arranged in priority order with some peer features of the respective organization and a control for selecting the respective peer. The user may select a subset of the predicted peers for use in comparison metrics.

What is claimed is: 
     
         1 . A system for automatically identifying peer organizations of a subject organization within a transactional platform, the system comprising:
 processing circuitry; and   a non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:
 receive, via a network from a remote computing device of a user, a request for peer comparison with the subject organization; 
 in real time responsive to receiving the request, identify a plurality of peer organizations of the subject organization, wherein identifying the plurality of peer organizations comprises
 generating, from a plurality of features of the subject organization, one or more organization data sets representing one or more characteristic features and one or more transactional features of the subject organization,
 wherein each of the one or more organization data sets is customized to features associated with a respective model of one or more models configured to detect similarities between a given organization and a plurality of other organizations, 
 
 for each of the one or more organization data sets and each of the one or more models,
 apply the respective organization data set to the respective model, wherein each of the one or more models is trained with respective training data sets including characteristics of the plurality of other organizations, and 
 obtain, through application of the respective organization data set to the respective model, the plurality of peer organizations sharing one or more similarities with the subject organization, wherein the plurality of peer organizations represents respective portions of results output from the respective model; and 
 
 prepare, for presentation at the remote computing device, a graphical user interface for presenting at least a portion of the plurality of peer organizations, wherein, for each peer of the plurality of peer organizations, the respective peer is represented along with i) at least a portion of the plurality of peer features of the respective organization within the graphical user interface and ii) a control for selecting the respective peer for use in comparison metrics.