US 11,941,076 B1
Intelligent product sequencing for category trees
Ravi Chandra Chigurupalli, Leander, TX (US); and Irfan Gilani, Cedar Park, TX (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Sep. 26, 2022, as Appl. No. 17/935,307.
Int. Cl. G06Q 30/0201 (2023.01); G06F 16/958 (2019.01); G06N 20/00 (2019.01); G06Q 30/0202 (2023.01)
CPC G06F 16/958 (2019.01) [G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
training a machine learning (ML) model on a corpus of product information to generate a first product category tree;
receiving, by a computing device, information about a product from another computing device;
determining, by the computing device, one or more relevant features from the information about the product, the one or more relevant features influencing prediction of a sequence number;
generating, by the computing device using the ML model, a prediction of a sequence number for the product based on the determined one or more relevant features, the sequence number being indicative of a sequencing of the product within a sequence of a plurality of products in the first product category tree; and
generating, by the computing device by updating the first product category tree, a second product category tree which includes the sequencing of the product within the sequence of the plurality of products based on the predicted sequence number for the product.