| CPC G06Q 50/28 (2013.01) [G06Q 10/06393 (2013.01)] | 17 Claims |
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1. A system to provide an automated vendor logistical variance management platform via a back-end application computer server of an enterprise, comprising:
(a) a vendor data store containing electronic records that represent a plurality of vendor entities, wherein each electronic record includes an electronic record identifier, vendor parameters, and an electronic communication address;
(b) a metric data store containing electronic records that represent a plurality logistical metrics, wherein each electronic record includes an electronic record identifier and benchmark information;
(c) the back-end application computer server, coupled to the vendor data store and metric data store, an email server, workflow application and calendar application, the back-end application computer server including:
a computer processor, and
a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor, cause the back-end application computer server to:
(i) train a machine learning model using historical results,
(ii) receive from a remote device an indication of a selection of a subset of the plurality of vendor entities,
(iii) access the vendor data store via an encrypted database management system to obtain the vendor parameters associated with the subset of vendor entities,
(iv) overlay the obtained vendor parameters and the data in the metric data store,
(v) identify, via the trained machine learning model, at least one pattern based on the overlaid obtained vendor parameter and the data in the metric data store,
(vi) automatically generate 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,
(vii) determine whether the generated vendor logistical variance results exceed a threshold value,
(viii) transmit an indication of the vendor logistical variance results for each of the subset of vendor entities,
(ix) generate a plurality of low-level score cards across multiple vendors,
(x) automatically update a display of data on a same interactive user interface in real time without input from a user, wherein the display on the same user interface includes a first score card generated for multiple vendors and a second score card for each individual vendor, wherein the second score card 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;
(xi) automatically establish a communication link and provide information to the calendar application, wherein the communication link is established between the remote user device and a remote vendor device;
(xii) automatically schedule a corrective action per a corrective action plan based on the determination the generated vendor logistical variance results exceed the threshold value;
(d) a communication port coupled to the back-end application computer server to facilitate an exchange of data with the remote user device in support of an interactive graphical user interface display via security features and a distributed communication network, the interactive graphical user interface display including vendore logistical variance results for each of the subset of vendor entities and at least one electronic communication link from the vendor data store,
and wherein:
the back-end application computer server receives selection of an entity identifier element and transmits 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 system;
the at least one electronic communication address is included when it is determined at least one vendor logistical variance result exceeds the threshold value; and
in a case the threshold value is exceeded, the back-end application computer server automatically and in response to the determination the threshold value is exceeded, generates the corrective action plan based on the trained machine learning model.
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