Abstract: An existing risk relationship data store may contain electronic records representing a plurality of existing risk relationships and, for each existing risk relationship, an electronic record identifier and a set of existing attribute values including an existing resource value. A back-end application computer server may receive an indication of a selected risk relationship and display at least some of the associated existing attribute values. The server may receive adjustments to some of the existing attribute values, and displayed information may be automatically and dynamically configured based on the received adjustments and a pre-determined logic rule. When an adjusted attribute value differs from an existing attribute value by more than a threshold amount, a confirmation signal from a user device may be requested.

Abstract: Systems, methods, apparatus, computer program code and means to improve data exchange with a remote client device are provided. In some embodiments, a back end application server may receive from the remote computer a first set of parameters. The server may automatically identify an initial set of values based on the first set of parameters and historic interaction information and render an initial display on the remote computer including information about the initial set of values. The server may then receive a recommendation request including a second set of parameters and automatically exchange information with a cloud-based advanced data analytics platform to determine at least one recommended adjustment. The server may then render a recommendation display on the remote computer including the initial set of values and the at least one recommended adjustment.

Abstract: According to some embodiments, initial consumer information may be received from a remote consumer device associated with a potential consumer. For example, the potential consumer might provide his or her name and address via a web page. According to some embodiments, the initial consumer information does not include vehicle information. Responsive to the initial consumer information, supplemental information may be automatically requested from a third-party data source. The supplemental information, including vehicle information associated with the potential consumer, may then be received from the third-party data source. An automobile insurance premium may then be calculated for the potential consumer based at least in part on the supplemental information. At least one potentially binding insurance quote may then be transmitted to the remote consumer device based on the calculated automobile insurance premium.