Patent ID: 11922529
Assignee: HARTFORD FIRE INSURANCE COMPANY
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computerized method to provide an automated vendor logistical variance management platform via a back-end application computer server of an enterprise, comprising:
training a machine learning model using historical results;
receiving, at the back-end application computer server from a remote device, an indication of a selection of a subset of the plurality of vendor entities;
accessing a vendor data store via an encrypted database managment system to obtain vendor parameters associated with the subset of vendor entities, wherein the vendor data store contains electronic records representing a plurality of vendor entities, and each electronic record includes an electronic record identifier, the vendor parameters, and an electronic communication address;
overlaying the obtained vendor parameters and the data in the metric data store;
identifying, via the trained machine learning model, at least one pattern based on the overlaid obtained vendor parameters and the data in a metric data store;
automatically generating vendor logistical variance results for each of the subset of vendor entities based on an analysis of the overlaid obtained vendor parameters and data in the metric data store;
determining whether the generated vendor logistical variance results exceed a threshold value, wherein the metric data store contains electronic records representing a plurality logistical metrics, and each electronic record includes an electronic record identifier and benchmark information;
transmitting an indication of the vendor logistical variance results for each of the subset of vendor entities to be displayed, via security features, on an interactive graphical user interface display that includes at least one electronic communication link from the vendor data store,
generating a plurality of low-level score cards across multiple vendors,
automatically, updating a display of data on a same interactive graphical user interface in real time without input from a user, wherein the display on the same interactive graphical user interface includes a first score card generated for multiple vendors and a second score card for each individual vendor, wherein the second scorecard for the individual vendor includes a vendor performance metric, a vendor initiative metric, a financing metric, a description of a benchmark for each metric and a year-to-date progress indication for each benchmark based on a benchmark goal, an improving or degrading direction of vendor performance with respect to the benchmark goal and a target date for the benchmark goal;
automatically, when a vendor logistical variance result exceeds a threshold value, and in response to the determination the threshold value is exceeded:
(i) generating a corrective action plan based on the trained machine learning model,
(ii) establishing a communication link between the remote user device and a remote vendor device, and
(iii) providing, via the established communication link, information to a calendar application to schedule corrective action per the corrective action plan based on the determination the threshold value is exceeded;

receiving selection of an entity identifier element; and
transmitting information in accordance with the selected entity identifier element to present on the interactive graphical user interface without transmitting information not in accordance with the selected entity identifier element, thereby reducing a number of electronic messages that are transmitted and improving operation of the logistical variance management platform via a back-end application computer server.