Abstract: A method for lease management includes receiving vehicle data, context data, and lease data related to a vehicle being leased by a vehicle occupant according to a set of leasing terms. At least the vehicle data is received from the vehicle. The method includes analyzing the vehicle data, the context data, and the lease data to predict a future event associated with the vehicle to offer a transaction offer. Further the method includes, selecting a bundle product for the transaction offer from a plurality of products based on the vehicle data, the context data, and the lease data. Upon detecting a start of the future event, the method includes transmitting the transaction offer including the bundle product.

Abstract: A system and method for modifying the appearance of graphical elements in an application (“app”) to promote cross-brand synergy for a company is described. In one embodiment, the app displays a top-level banner menu that includes a plurality of selectable icons. Each selectable icon serves as a link to a landing page for a specific product group (“brand”) of the company. When the user initially accesses the app, each of the selectable icons appear greyed-out. When a user selects one of the icons in order to navigate to the landing page for the corresponding product group, the app responds by altering the appearance of that icon from a greyscale to a chromatic format. In some cases, the color applied to the icon corresponds to the color associated with the selected brand.

Abstract: Systems and methods for an electric vehicle to be charged according to a charging schedule. The system includes a memory that stores instructions for executing processes for scheduling charging of an electric vehicle. The system also includes a a processor configured to execute the instructions The instructions cause the processor to: determine a location of an electric vehicle and a time corresponding to when the electric vehicle is connected to a charging station; determine charging preferences of a user based upon a preselected set of choices defined by the user.

Abstract: Systems and methods for monitoring a charging pattern to identify a customer. The system includes a memory that stores instructions for executing processes for monitoring a charging pattern to identify a customer. The system also includes a processor configured to execute the instructions. The instructions cause the processor to: monitor charging patterns of each user of a plurality of users of a shared vehicle to determine a preferred charging mode for each user; generate a user profile for each user of the plurality of users, the user profile indicating preferences for each respective user; identify a user operating the vehicle; transmit, to a third party vendor, a request for a resource based on the user profile of the user operating the vehicle; and transmit a charging schedule to the vehicle after receiving a response to the request for the resource.

Abstract: A system and method for creating a charging schedule for an electric vehicle that include determining a current state of charge of the electric vehicle. The system and method also include determining an average price per kilowatt-hour of energy to charge the electric vehicle to reach at least one of: a target state of charge of the electric vehicle and a maximum state of charge of the electric vehicle. The system and method additionally include creating the charging schedule based on the current state of charge and the average price per kilowatt-hour of energy. The system and method further include controlling charging of the electric vehicle to reach at least one of the target state of charge and the maximum state of charge based on the charging schedule.

Abstract: Systems and methods for an electric vehicle to be charged according to a charging schedule. The system includes a memory that stores instructions for executing processes for scheduling charging of an electric vehicle. The system also includes a a processor configured to execute the instructions The instructions cause the processor to: determine a location of an electric vehicle and a time corresponding to when the electric vehicle is connected to a charging station; determine charging preferences of a user based upon a preselected set of choices defined by the user.

Abstract: A system and method for creating a charging schedule for an electric vehicle that include determining a current state of charge of the electric vehicle. The system and method also include determining an average price per kilowatt-hour of energy to charge the electric vehicle to reach at least one of: a target state of charge of the electric vehicle and a maximum state of charge of the electric vehicle. The system and method additionally include creating the charging schedule based on the current state of charge and the average price per kilowatt-hour of energy. The system and method further include controlling charging of the electric vehicle to reach at least one of the target state of charge and the maximum state of charge based on the charging schedule.

Abstract: Systems and methods for monitoring a charging pattern to identify a customer. The system includes a memory that stores instructions for executing processes for monitoring a charging pattern to identify a customer. The system also includes a processor configured to execute the instructions. The instructions cause the processor to: monitor charging patterns of each user of a plurality of users of a shared vehicle to determine a preferred charging mode for each user; generate a user profile for each user of the plurality of users, the user profile indicating preferences for each respective user; identify a user operating the vehicle; transmit, to a third party vendor, a request for a resource based on the user profile of the user operating the vehicle; and transmit a charging schedule to the vehicle after receiving a response to the request for the resource.

Abstract: A system and method for creating a charging schedule for an electric vehicle that include determining a current state of charge of the electric vehicle. The system and method also include determining an average price per kilowatt-hour of energy to charge the electric vehicle to reach at least one of: a target state of charge of the electric vehicle and a maximum state of charge of the electric vehicle. The system and method further include creating the charging schedule based on the current state of charge and the average price per kilowatt-hour of energy.

Abstract: A system and method for creating a charging schedule for an electric vehicle that include determining a current state of charge of the electric vehicle. The system and method also include determining an average price per kilowatt-hour of energy to charge the electric vehicle to reach at least one of: a target state of charge of the electric vehicle and a maximum state of charge of the electric vehicle. The system and method further include creating the charging schedule based on the current state of charge and the average price per kilowatt-hour of energy.