An electronic data interchange (EDI) management system may comprise a memory for storing EDI document data and a machine learning prediction model representing element information of EDI documents of a first type and a corresponding status. A processor can be configured to extract segments and elements from an EDI document, create a document record for the EDI document, the document record comprising a hierarchy of segments and elements extracted from the EDI document; create a feature vector for the EDI document from the elements extracted from the EDI document, determine a first status for the EDI document by processing the feature vector for the EDI document using the prediction model and add the first status to the document record for the EDI document of the first type, the first status accessible to a client computer via a presentation layer.