Patent Document ID: 10116524
Application ID: 15444578
Patent Flag: 1

Claim One:
1. A computer-implemented method of optimizing data flow through a plurality of networks, comprising: providing an online platform providing a machine learning module; interconnecting the online platform and a plurality of network providers via at least one computer having software for causing the at least one computer to perform the following process steps: (a) acquiring a list of open shortest path first (OSPF) neighbors of the plurality of network providers; (b) acquiring a list of label distribution paths (LDP) neighbors; (c) executing for each OSPF neighbor a bandwidth test for collecting latency information thereof; (d) prompting the machine learning module to predict multiple path outcomes through the plurality of networks and calculate a confidence score of each path outcome based on latency information for associated OSPF neighbors; and (e) making routing decisions for each OSPF neighbor based on its respective confidence score, wherein if the confidence score is higher than 60 percent, then 80 percent of the collected latency information of step (c) is used by the software to determine a reliability value of each respective OSPF neighbor.