US 12,293,316 B1
System and method of end-to-end supply chain segmentation
Alexis Rotenberg, Egham (GB)
Assigned to Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed by JDA Software Group, Inc., Scottsdale, AZ (US)
Filed on Oct. 3, 2017, as Appl. No. 15/723,554.
Claims priority of provisional application 62/403,576, filed on Oct. 3, 2016.
Int. Cl. G06Q 10/0631 (2023.01); G06Q 10/087 (2023.01)
CPC G06Q 10/06315 (2013.01) [G06Q 10/087 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method for identifying supply chain segmentations from an initially non-segmented supply chain by a computer comprising a processor and a memory, comprising:
receiving a current state of items in a supply chain network comprising one or more supply chain entities, wherein an inventory of the one or more supply chain entities is used to store one or more items, and a state of the items comprises a quantity and ordered flow among the inventory of the one or more supply chain entities, wherein the current state of the items is based, at least in part, on scanning an identifier corresponding to each of the items, and further wherein the identifier comprises a radio-frequency identification tag;
organizing the one or more supply chain entities into one or more customer clusters based, at least in part, on the size of the inventory and service expectations of the one or more supply chain entities;
associating customer business models for each of the customer clusters that meet requirements of the size of the inventory and service expectations of the one or more supply chain entities, wherein the customer business models are tiered according to service levels, the service levels specifying supply chain service requirements;
setting relative values to one or more key process indicators of the one or more supply chain entities to one or more goal trees where each goal tree comprises at least one relative value of the one or more key process indicators that is different from each other goal tree of the one or more goal trees, wherein the one or more goal trees each comprise a graphical hierarchy of one or more key process indicators arranged within a pyramid or triangle of at least three levels, the graphical hierarchy color coded to indicate performance of the one or more key process indicators, and further wherein a higher level key process indicator in the hierarchy is related at least in part to one or more lower level key process indicators in the hierarchy;
identifying one or more supply chain models based, at least in part, on the one or more goal trees that meet targets of one or more principal key process indicators of the one or more key process indicators, wherein the number of the one or more goal trees is equal to the number of the one or more supply chain models; and
in response to the one or more customer business models and the one or more principal key process indicators, instructing robotic machinery to transport items among the one or more supply chain entities to restock the inventory of the one or more items according to the current state of items in the supply chain network.