Abstract: A method for managing charging resources of a charging system for plug-in electric vehicles (PEVs), the charging system including a central recording center including a tracking database. The method including initiating a charging session to a first PEV based on detecting that the first PEV has been plugged into a charging station. The first PEV is associated with the charging session in the tracking database. The first PEV is associated, in the tracking database, to a first user and a first PEV profile. The first PEV is charged in accordance with information from the first PEV profile. Charging session data is monitored and stored in the tracking database during the charging session. A machine learning model is generated based on collective charging data. Charge completion time of the first PEV is predicted based on the machine learning model.

Abstract: A method for managing charging resources of a charging system for plug-in electric vehicles (PEVs), the charging system including a central recording center including a tracking database. The method including initiating a charging session to a first PEV based on detecting that the first PEV has been plugged into a charging station. The first PEV is associated with the charging session in the tracking database. The first PEV is associated, in the tracking database, to a first user and a first PEV profile. The first PEV is charged in accordance with information from the first PEV profile. Charging session data is monitored and stored in the tracking database during the charging session. A machine learning model is generated based on collective charging data. Charge completion time of the first PEV is predicted based on the machine learning model.

Abstract: A system for generating virtual items is described that includes an augmented reality (AR) item generator engine configured to determine and assign a location in a facility for virtual items based on a transaction history of a user of a mobile application, historical facility data, and a first set of rules using machine learning to increase visits to selected locations in the facility. The AR item generator engine also transmits instructions to the mobile application to present the virtual items on a map of the facility. Each virtual item is viewable in the mobile application via augmented reality at an assigned location in the physical facility. The AR item generator engine also monitors a route of the mobile computing device within the facility based on a transmitted location from the mobile device, and receives a notification from the application when the user has collected a virtual item.

Abstract: A device may receive data regarding a set of entities. The device may pre-process the data regarding the set of entities to convert a portion of the data from an unstructured format to a structured format. The device may generate a network representation of the data. The network representation may include a plurality of nodes representing characteristics of the data and a plurality of edges connecting at least some of the plurality of nodes and representing a relationship between each pair of connected nodes of the plurality of nodes. The device may automatically evaluate the network representation of the data to determine a set of recommendations relating to the set of entities. The device may generate a user interface to provide information identifying the set of recommendations. The device may communicate with a client device to cause the user interface to be provided for display via the client device.