Abstract: The present invention relates to system, method and computer program product for customized processing temporal resources and constructing resource values. The system comprises a computer-executable platform comprising a resource value construction module that is structured to access a data storage module and determine a resource value offer of the resource. The system further comprises a Bayesian network connected to the computer-executable platform. Moreover, the system comprises a user interface connected to the Bayesian network, the user interface comprising: a selection module that is structured to receive a user section of an indication of resource; and a management module that allows the user to manage the information of the resources via the user interface.

Abstract: The present invention relates to system, method and computer program product for customized processing temporal resources and constructing resource values. The system comprises a computer-executable platform comprising a resource value construction module that is structured to access a data storage module and determine a resource value offer of the resource. The system further comprises a Bayesian network connected to the computer-executable platform. Moreover, the system comprises a user interface connected to the Bayesian network, the user interface comprising: a selection module that is structured to receive a user section of an indication of resource; and a management module that allows the user to manage the information of the resources via the user interface.

Abstract: The present invention relates to providing systems, methods, and apparatuses for using machine learning to categorize and select suggested source entities. In some embodiments, such a system may comprise receiving a resource file from a user; normalizing the at least one supplier entity name to generate at least one normalized supplier entity name; determining the at least one normalized supplier entity name matches an authenticated supplier entity name of an entity name master record; updating a source entity management database; receiving a user indication; applying the at least one pre-determined variable standard and the selected category to a source entity suggestion model to output at least one suggested source entity name that matches the pre-determined variable standard and the selected category; and generating a suggested source entity interface component to configure a graphical user interface of a user device associated with the user.

Abstract: The present invention relates to system, method and computer program product for customized processing temporal resources and constructing resource values. The system comprises a computer-executable platform comprising a resource value construction module that is structured to access a data storage module and determine a resource value offer of the resource. The system further comprises a Bayesian network connected to the computer-executable platform. Moreover, the system comprises a user interface connected to the Bayesian network, the user interface comprising: a selection module that is structured to receive a user section of an indication of resource; and a management module that allows the user to manage the information of the resources via the user interface.

Abstract: A system for managing suppliers for managing source entities for recipient entities includes a source entity evaluation system, and a category file database storing a plurality of category files having a plurality of amount values. The system further comprises a source entity management database storing a plurality of complexities for the source entities and configured to received updated complexities data from a source entity system. Moreover, a benchmarking module stores a plurality of source entity quality standards to be bases of the amount values and configured to generate maturity amount values in accordance with the amount values and the source entity quality standards. The system further comprises a cost analysis and an electronic record management module.

Abstract: The present invention relates to system, method and computer program product for processing resource transfers and constructing resource values. The system comprises a computer-executable platform comprising a resource value construction module that is structured to access a data storage module and determine a resource value offer of the resource. The system further comprises a Bayesian network connected to the computer-executable platform. Moreover, the system comprises a user interface connected to the Bayesian network, the user interface comprising: a selection module that is structured to receive a user section of an indication of resource; and a management module that allows the user to manage the information of the resources via the user interface.

Abstract: The present invention relates to a method and process for transforming user files using a machine learning algorithm and a natural language processing to determine and categorize supplier entities. In some embodiments, a method of categorizing suppliers into an identified category includes receiving a resource file from a user, grouping resource line items in the resource file based on supplier entity names, normalizing the supplier's names to match with a device master record and customer's identification, normalizing the supplier entity names to match with a master record and supplier entity identifications, determining if the supplier entities should be categorized in the identified category for any user/particular user in the past, and categorizing the supplier entities in the identified category.

Abstract: Disclosed is a system and method for recognizing retail displays or fixtures. The system includes a plurality of beacons that is in communication with one or more user devices operated by an end user, wherein the beacons are attached to retail displays. Each of the plurality of beacons includes a set of unique identifier stored therein so as to identify a retail display on which it is attached. The user device is configured to locate a beacon and determine whether or not the unique identifier of the beacon matches the unique identifier for the beacon stored in the system.