Abstract: A computing system predicts a need of a customer based at least in part on a location of the customer, recommend a physical location to the customer based on the predicted need using location-based costs of living, and recommending offers to merchants based on historical activities of a plurality of customers.

Abstract: Systems and methods related facilitating default sharing between frequently used line of business products according to one or more example embodiments are shown. Such systems and methods make use of sharing of information between the line of business products. In some embodiments, this sharing of the data between line of business products facilitates a universal portal that may be personalized and/or customized in function and appearance. In some embodiments, the universal portal is an application on a user device that, at least, provides access to other applications running on the user device in a consolidated manner as well as additional functions present in the universal portal itself. In some embodiments, visual aspects of the presentation of applications and functionality are changed in the universal portal based on information that has been shared between different line of business products.

Abstract: Systems and methods for facilitation of peer to peer transfers of financial instrumentations associated with automated activation of lines of credit according to one or more example embodiments are shown. Such systems and methods make use of analyzing information obtained from financial institution computing system as well as other third party system such as social media networks. In some embodiments, this analysis of data allows for customers, e.g., account holders, of a financial institution to be offered opportunities for loan solutions, such as short term loan solutions, in real time when a need for such a loan solution is determined. Such loan solutions may be provided in real time when the account holders are pre-vetted for the ability to pay back the loans as well as upon a determination of means to pay back the loan in the given time period based on the analysis of the data.

Abstract: Systems and methods related facilitating default sharing between frequently used line of business products according to one or more example embodiments are shown. Such systems and methods make use of sharing of information between the line of business products. In some embodiments, this sharing of the data between line of business products facilitates a universal portal that may be personalized and/or customized in function and appearance. In some embodiments, the universal portal is an application on a user device that, at least, provides access to other applications running on the user device in a consolidated manner as well as additional functions present in the universal portal itself. In some embodiments, visual aspects of the presentation of applications and functionality are changed in the universal portal based on information that has been shared between different line of business products.

Abstract: A computing system predicts a need of a customer based at least in part on a location of the customer, recommend a physical location to the customer based on the predicted need using location-based costs of living, and recommending offers to merchants based on historical activities of a plurality of customers.

Abstract: Techniques are described for monitoring a plurality of financial transactions of a customer performed across a plurality of financial accounts. The techniques may include determining a subset of the plurality of financial transactions based on a first metric applied to the plurality of financial transactions. The techniques may further include identifying a suggested financial transaction based on a second metric applied to the subset of the plurality of financial transactions. The techniques may further include presenting the suggested financial transaction to the customer via a user interface associated with at least one of the plurality of financial accounts.

Abstract: Techniques are described for monitoring a plurality of financial transactions of a customer performed across a plurality of financial accounts. The techniques may include determining a subset of the plurality of financial transactions based on a first metric applied to the plurality of financial transactions. The techniques may further include identifying a suggested financial transaction based on a second metric applied to the subset of the plurality of financial transactions. The techniques may further include presenting the suggested financial transaction to the customer via a user interface associated with at least one of the plurality of financial accounts.