CPC G06Q 30/0204 (2013.01) [G06Q 30/0201 (2013.01)] | 20 Claims |
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.
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