Abstract: A method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: providing, over a network, a user interface for rendering by a client device to an employee of a customer of the SMP; receiving, over the network, input from the client device via the user interface, said input identifying a request by the employee for a SaaS application that is one of a portfolio of SaaS applications used by the customer and managed by the SMP; accessing an approval setting stored in association with the SaaS application, the approval setting configured to authorize automated approval of the employee for the SaaS application; responsive to receiving the input, and based on the approval setting, then triggering a single sign-on (SSO) service to provision the employee as a user of the SaaS application.

Abstract: A method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: identifying a plurality of SaaS applications used by a customer of the SMP; receiving, over a network, human resources (HR) data from an HR application, said HR data describing an organization chart of users that are employees of the customer of the SMP; providing, over a network, an administrator interface for rendering through a client device operated by an administrative user of the customer; receiving input from the client device via the administrator interface, said input identifying a given SaaS application and a managerial group within the organization chart; and responsive to receiving said input, then storing an approval setting for the managerial group for the given SaaS application, the approval setting determines whether a user within the managerial group requires approval to enable granting of a license to use the given SaaS application.

Abstract: A method implemented in a Software as a Service (SaaS) management platform (SMP) is provided, including: receiving, over a network, human resources (HR) data from an HR application, said HR data describing an organization chart of employees of a customer of the SMP; identifying a plurality of SaaS applications that are used by the customer of the SMP; receiving, over the network, a request from a client device associated to a given employee of the customer; responsive to the request, then identifying a managerial group within the organization chart of which the given employee is a member, identifying ones of the SaaS applications used by the identified managerial group, and surfacing the identified ones of the SaaS applications in a user interface rendered by the client device as recommended applications for the given employee of the customer.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: Systems and methods for authenticating a request submitted from a client device through a third party content provider to an electronic entity are described. In one embodiment, a method includes providing a trusted script to the third party content provider, passing a trust token to the third party content provider and to the client device, and, in response to a request submitted from the client device through the third party content provider, validating the trust token associated with the request with the token passed to the client device, and processing the request. The trusted script is configured to create a trusted window on the third party Web page displayed on the client computing device, receive a trust token from the electronic entity through the trusted window, and associate the trust token with requests submitted from the client computing device through the third party content provider to the electronic entity.

Abstract: A payment instrument may be borrowed by a designated lendee and used to complete a financial transaction when made accessible by a lender via a lender's account. The lender may restrict use of the payment instrument by the lendee, such as by restricting a duration of use, setting purchase limits, etc. In various aspects, the lender may loan the payment instrument to the lendee without providing a physical card, actual card number, or other personal information. In some aspects, the lendee may be presented with an option to use a borrowed payment instrument when completing a purchase using payment information that is linked to the lender. The lendee may perform a validation process to confirm his/her identity and complete a purchase. In some aspects, the lender may require an authorization before the payment is finalized, which may enable the lender to terminate a payment request.

Abstract: Disclosed are various embodiments for implementing secondary verification of user accounts through the use of near field communication devices. A first account code and first verification code are stored in a memory accessible to a computing device, wherein the first account code is associated with a payment instrument. A second account code is received in a charge request from a transaction client. A second verification code is further obtained from a client device. A determination is made as to whether to approve charging of an account based at least on whether the second verification code received in the computing device matches the first verification code.

Abstract: Disclosed are various embodiments for facilitating the creation of allocation rules for distributing charges to one or more accounts associated with a payment instrument. The charge distribution application accesses allocation rules that are used to determine a charge distribution allocation for linked accounts associated with a master account identified in a charge request. The charge distribution application specifies a percentage of the amount indicated in the charge request to charge to one or more of the linked accounts. The charge distribution application charges up to the total amount specified in the charge request to one or more of the accounts depending on the applicable charge distribution allocation.

Abstract: Disclosed are various embodiments for the creation of a payment card that is programmable by a user in order to access one or more accounts from multiple financial institutions and/or other institutions. The payment card includes an account selection application that facilitates selection of one of the transaction accounts associated with the payment card. A processor circuit then determines a code that corresponds with the respective one of the transaction accounts and facilitates the embodiment of the corresponding code to a dynamic magnetic strip located on the payment card.

Abstract: Disclosed are various embodiments for charging one or more accounts based on user-created business rules for transactions that occur on a master account. The transaction management application identifies the master account associated with the charge request. Once the master account has been identified, the transaction management application determines which of the other accounts to charge or debit for the charge request.

Abstract: Systems and methods for authenticating a request submitted from a client device through a third party content provider to an electronic entity are described. In one embodiment, a method includes providing a trusted script to the third party content provider, passing a trust token to the third party content provider and to the client device, and, in response to a request submitted from the client device through the third party content provider, validating the trust token associated with the request with the token passed to the client device, and processing the request. The trusted script is configured to create a trusted window on the third party Web page displayed on the client computing device, receive a trust token from the electronic entity through the trusted window, and associate the trust token with requests submitted from the client computing device through the third party content provider to the electronic entity.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: A shared “universal” virtual shopping cart (“the cart”) may be provided by a host to enable information sharing between multiple disparate electronic marketplaces provided by various merchants. The host may obtain user information via the cart to improve interactions with a user. The host may recommend an item to the user that is offered at a lower price and related to an item retained in the user's cart. The host may also recommend items based on a user's purchase history, such as complementary items (e.g., up-sell items) and items other users may recommend. In some aspects, the host may compile best selling lists based on data from multiple electronic marketplaces. The host may also perform user specific operations such as indicate an item in a cart is a duplicate of a previous purchase and monitor a price and/or available quantities of an item in the cart.

Abstract: Methods and systems are provided for analyzing the business rules, business metrics, and decision parameters for a firm or organization, processing a subset of such data to form output, and offering access to selective views of such output including evaluation and comparative data regarding execution of such business rules, information on corresponding business metrics or sets of business metrics, information on corresponding decision parameters or sets of decision parameters or scenarios, and other useful analytic information which can help a firm or organization evaluate and modify business policies based on said rules, metrics, and parameters. In addition to said rules, metrics and/or parameters, the data for the business rule analysis can include conventional historical data or hypothetical data based on simulations which the current system and method provide based on prescribed random and non-random algorithms.