Abstract: A method may include receiving, from a first supplier, a first response to a sourcing event. A machine learning model to may be applied to determine a performance metric for the first response. The machine learning model being trained to determine, based on the terms included in the first response, the performance metric to indicate a relative competitiveness of the first response and a second response from a second supplier. One or more terms from the first response may be identified, based on an output of the machine learning model, as candidates for modification. A user interface may be generated to display a recommendation for the first supplier to modify the one or more terms of the first response. Related systems and computer program products are also provided.

Abstract: A system includes reception of a definition of a first attribute to associate with a logical object of the first application, reception of a definition of a second attribute to associate with a second logical object of the first application, determination, based on the definition of the first attribute and the definition of the second attribute, that the first attribute and the second attribute are associated with a same semantic, based on the determination, generation of e a first identifier associated with the first attribute and the second attribute and storing the first identifier associated with the first attribute and the second attribute in a first data schema associated with the first application, and storage of the first identifier associated with the first attribute and the second attribute in an analytics schema associated with an analytics application.

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: In one aspect, there is provided a method including presenting a first user interface including an object hierarchy comprising a parent node and a plurality of child nodes; receiving, at a second user interface, a first selection allocating at first portion of the object hierarchy to a first device; receiving, at the second user interface, a second selection allocating a second portion of the object hierarchy to a second device; and when a selection at a user interface element of a third user interface is received, sending an indication to a system to enable generation of a fourth user interface presenting a first electronic document for the first device and generation of a fifth user interface presenting a second electronic document for the second device. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A system includes reception of a definition of a first attribute to associate with a logical object of the first application, reception of a definition of a second attribute to associate with a second logical object of the first application, determination, based on the definition of the first attribute and the definition of the second attribute, that the first attribute and the second attribute are associated with a same semantic, based on the determination, generation of e a first identifier associated with the first attribute and the second attribute and storing the first identifier associated with the first attribute and the second attribute in a first data schema associated with the first application, and storage of the first identifier associated with the first attribute and the second attribute in an analytics schema associated with an analytics application.

Abstract: A method and system including a data storage device to store document files, entity graph data structures, and data graph data structures; a processor to receive input values for parameters of a plurality of entities related to a document being authored; generate an entity graph data structure linking, directly or indirectly, the plurality of entities based on shared property commonalities between the plurality of entities; generate a data graph data structure based on the entity graph data structure and at least one of at least one existing document file, curated document terms, and relevant terms acceptable to the plurality of entities; and automatically generate, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and an output to output a user interface to display the generated notification in a notification interface area of a user interf

Abstract: In one aspect, there is provided a method including presenting a first user interface including an object hierarchy comprising a parent node and a plurality of child nodes; receiving, at a second user interface, a first selection allocating at first portion of the object hierarchy to a first device; receiving, at the second user interface, a second selection allocating a second portion of the object hierarchy to a second device; and when a selection at a user interface element of a third user interface is received, sending an indication to a system to enable generation of a fourth user interface presenting a first electronic document for the first device and generation of a fifth user interface presenting a second electronic document for the second device. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: A method and system including a data storage device to store document files, entity graph data structures, and data graph data structures; a processor to receive input values for parameters of a plurality of entities related to a document being authored; generate an entity graph data structure linking, directly or indirectly, the plurality of entities based on shared property commonalities between the plurality of entities; generate a data graph data structure based on the entity graph data structure and at least one of at least one existing document file, curated document terms, and relevant terms acceptable to the plurality of entities; and automatically generate, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and an output to output a user interface to display the generated notification in a notification interface area of a user interf

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.