The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 29, 2024
Filed:
May. 10, 2023
Wesco Distribution, Inc., Pittsburgh, PA (US);
John J. Engel, Pittsburgh, PA (US);
Shashi Bhushan Dande, Spring, TX (US);
Kishor Saitwal, Sugar Land, TX (US);
Raja Vikram Raj Pandya, Katy, TX (US);
Avinash Wesley, New Caney, TX (US);
Kris Lindsay, Mount Crawford, VA (US);
Benjamin James Albu, Pittsburgh, PA (US);
Akash Khurana, Houston, TX (US);
Ashok Ramesh Bajaj, Katy, TX (US);
Merwan Mereby, Baton Rouge, LA (US);
WESCO Distribution, Inc., Pittsburgh, PA (US);
Abstract
A computer method for identifying product in a distributor's inventory system that fulfills a product request made via a natural language query. the natural language query is received as a product request including multiple words in sequential order. The words are vectorized into word-vectors that are concatenated and used to generate a query embedding. The query embedding is processed utilizing a trained product category classifier that predicts which product category the requested product belongs. Forward and backward sequence vectors are generated from the sequentially ordered words of the query that are concatenated and processed using a trained model specific to the predicted product category. The sequence vectors represent positional relationships between the words of the natural language query. Thereafter, the system identifies product attribute(s) embodied in the natural language query that each correspond to a predetermined key-characteristic of the category.