AUTOMATED QUOTE COMPARISON AND GRAPHICAL RISK STRUCTURE GENERATION FROM UNSTRUCTURED INSURANCE QUOTATION DOCUMENTS

Abstract

In an illustrative embodiment, systems and methods for extracting, and organizing, and visualizing details of options provided by multiple organizations responsive to a risk fulfillment request include analyzing unstructured electronic documents to recognize various quote aspects in their contents, label the quote aspects according to a classification, and store semantically linked quote aspects. The systems and methods, for example, may enhance semantically-linked groups of quote aspects with attributes according to a corresponding ontology, and confirm the labeling, grouping, and enhancing through feedback interactions performed with a user via a graphical display. The confirmed information may be used to generate a visualization of options for fulfilling the request, each option qualified and/or color-coded through automated learned analysis for review by the user.

CPC Classifications