US 12,008,592 B1
Strategic and tactical intelligence in dynamic segmentation
Ganesh Muthusamy, Hyderabad (IN); Phani Bulusu, Bangalore (IN); Rashid Puthiyapurayil, Bangalore (IN); and Abhishek Singh, Bangalore (IN)
Assigned to Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed by Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed on May 6, 2022, as Appl. No. 17/738,495.
Claims priority of provisional application 63/185,566, filed on May 7, 2021.
Int. Cl. G06Q 30/02 (2023.01); G06Q 10/06 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0204 (2023.01)
CPC G06Q 30/0204 (2013.01) [G06Q 30/0201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for performing tactical segmentation, comprising:
a supply chain network comprising a tactical segmentation planner, an inventory system, a transportation network and one or more supply chain entities, the strategic segmentation planner further comprising a computer and a database, the computer comprising a memory and a processor, the computer configured to autonomously:
perform multi-dimension segmentation on input data by computing feature importance to generate multi-dimensional segments;
assign policy parameters to the supply chain network based on the generated multi-dimensional segments;
train a machine learning model by applying a cyclic boosting process to the standardized features data, wherein the cyclic boosting process iteratively learns relationships associated with the generated multi-dimensional segments;
store the machine learning model in the database;
perform multi-dimension segmentation based on the stored machine learning model;
determine whether data drift has occurred in the input data; and
in response to determining that data drift has occurred, repeat the perform, assign, and train steps, and store an updated machine learning model in the database.