US 11,810,044 B1
System and method of providing a supply chain digital hub
Ripu Daman Singh, Southlake, TX (US); Madhav S. Durbha, Suwanee, GA (US); John Sarvari, Suwanee, GA (US); and Anand Medepalli, Richmond (GB)
Assigned to Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed by JDA Software Group, Inc., Scottsdale, AZ (US)
Filed on Apr. 11, 2017, as Appl. No. 15/484,999.
Claims priority of provisional application 62/321,123, filed on Apr. 11, 2016.
Int. Cl. G06Q 10/08 (2023.01); H04L 67/025 (2022.01); G05B 19/418 (2006.01); G06N 20/00 (2019.01)
CPC G06Q 10/08 (2013.01) [G05B 19/41835 (2013.01); G06N 20/00 (2019.01); H04L 67/025 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A system comprising:
a digital hub comprising one or more containers and a cloud database, wherein the one or more containers each comprise an application engine, one or more processors, and a memory; and
one or more supply chain entities of a supply chain network and one or more external data sources that are separate from and communicatively coupled with the digital hub comprising the one or more containers and the cloud database;
wherein the digital hub is configured to:
encode, as a virtual supply chain network, a structure, one or more objectives, and one or more states of the supply chain network;
contextualize data received from the one or more supply chain entities and received from the one or more external data sources with the virtual supply chain network;
employ machine learning to extract insights from the contextualized data;
monitor the one or more external data sources for an event that impacts the one or more objectives of the supply chain network;
in response to identifying the event that impacts at least one of the one or more objectives, automatically adjust one or more robotic warehouse systems; and
offer industry-wide and cross-industry-wide supply chain metrics available on a subscription basis, wherein the industry-wide and cross-industry-wide supply chain metrics comprise data that has been aggregated to anonymize the data.