Abstract: A method may include receiving a user input specifying one or more attributes. In response to the receiving the user input, a machine learning model may be applied to identify, within a supplier data stored in a database, one or more frequent itemsets containing the one or more attributes. The machine learning model may be a frequent pattern (FP) growth tree generated based on the supplier data stored in the database. A supplier having the one or more attributes may be identified based on the one or more frequent itemsets. The supplier data may include numerous contracts and/or sourcing events. As such, the supplier having the one or more attributes may be identified by leveraging the supplier data associated with the contracts and/or sourcing events. Related systems and computer program products are also provided.

Abstract: A first version of a document is accessed so that a corresponding contract dictionary is generated with a plurality of string tokens. Subsequently, a visual distinction is assigned to the corresponding ranking priority of each of the plurality of string tokens. A second version of the document is accessed and changed string tokens are identified by comparing the second version with the first version of the document. A corresponding ranking priority is then retrieved for each of the changed string tokens in the contract dictionary so that each of the changed string tokens can be highlighted with the visual distinction corresponding to the ranking priority. Each of the highlighted changed string tokens can then be displayed with the visual distinction and the document on a graphical user interface.

Abstract: A first version of a document is accessed so that a corresponding contract dictionary is generated with a plurality of string tokens. Subsequently, a visual distinction is assigned to the corresponding ranking priority of each of the plurality of string tokens. A second version of the document is accessed and changed string tokens are identified by comparing the second version with the first version of the document. A corresponding ranking priority is then retrieved for each of the changed string tokens in the contract dictionary so that each of the changed string tokens can be highlighted with the visual distinction corresponding to the ranking priority. Each of the highlighted changed string tokens can then be displayed with the visual distinction and the document on a graphical user interface.