Abstract: A technique for accessing multiple rate data from several sources and applying the rate data to pre-populated data of a survey is described. The techniques include backend processes and architectures that allow for the retrieval, modeling, and population of certain data fields during the customer evaluation process as during the process of requesting a quote for products or services. The process includes accessing static property information of a property from a first plurality of sources, computing a rate for the property based on the static property information, accessing dynamic property information of the property from a second plurality of sources, adjusting the rate for the property based on the dynamic property information, and generating a rate graphical user interface that indicates the adjusted rate for the property.

Abstract: A technique for accessing multiple rate data from several sources and applying the rate data to pre-populated data of a survey is described. The techniques include backend processes and architectures that allow for the retrieval, modeling, and population of certain data fields during the customer evaluation process as during the process of requesting a quote for products or services. The process includes accessing static property information of a property from a first plurality of sources, computing a rate for the property based on the static property information, accessing dynamic property information of the property from a second plurality of sources, adjusting the rate for the property based on the dynamic property information, and generating a rate graphical user interface that indicates the adjusted rate for the property.

Abstract: A technique for accessing multiple rate data from several sources and applying the rate data to pre-populated data of a survey is described. The techniques include backend processes and architectures that allow for the retrieval, modeling, and population of certain data fields during the customer evaluation process as during the process of requesting a quote for products or services. The process includes accessing static property information of a property from a first plurality of sources, computing a rate for the property based on the static property information, accessing dynamic property information of the property from a second plurality of sources, adjusting the rate for the property based on the dynamic property information, and generating a rate graphical user interface that indicates the adjusted rate for the property.

Abstract: A technique for accessing multiple rate data from several sources and applying the rate data to pre-populated data of a customer survey is described. The techniques include backend processes and architectures that allow for the retrieval, modeling, and population of certain data fields during the customer evaluation process as during the process of requesting a quote for products or services. The process includes accessing rate plan tables from a plurality of plan sources, normalizing the rate plan tables to a rate computation format, accessing property information of a property, computing a rate for each plan source for the property information using a corresponding normalized rate plan computation table, and generating a plan comparison graphical user interface that indicates the rate for each plan source to a user computing device.

Abstract: A technique for automating the process of populating certain data fields of a customer survey. The techniques include backend processes and architectures that allow for the retrieval, modeling, and population of certain data fields during the customer evaluation process as during the process of requesting a quote for products or services. The process includes receiving identifying information for property and using the property identifying information to request additional data about the property from at least one source of property information. The responses are normalized to a predetermined data format and mapped to predetermined fields of a pre-fill template which is then presented to a user's display device as a part of the customer survey. Data conflicts from the information sources are resolved using preestablished business rules determining which information source has priority and the pre-fill template is updated from the information source having priority.