Patent Application: Feature Importance for Supply Chain Models

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Class Level Feature Importance Using Lasso and Probabilistic Graphical Models

Application US20260087448A1 Kind: A1 Mar 26, 2026

Inventors

Deb Mohanty, Phani Mitra Bulusu, Rashid Puthiyapurayil, Vidhi Chugh

Abstract

Embodiments of the following disclosure provide a feature importance system and method to identify features relevant to determining whether a target variable will achieve a particular value. One example method includes generating a probabilistic graphical model to represent the performance of one or more entities in a supply chain and selecting or more target variables. The method further includes collating a list of features pertaining to the one or more selected target variables, pruning at least one of the one or more features from the list and generating one or more bins in which to distribute the one or more features in the list. The method further includes modeling a network graph incorporating the one or more features in the list and bins and determining one or more inferences pertaining to the one or more supply chain entity target variables.

CPC Classifications

G06Q 10/087 G06N 5/04 G06N 7/01

Filing Date

2025-12-04

Application No.

19409240

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