TECHNOLOGIES FOR USING MACHINE LEARNING TO ASSESS PRODUCTS AND PRODUCT SUPPLIERS

Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using...

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Main Authors Horst, Paul Ter, Rana, Annie Ibrahim, Sodhi, Karan, Huang, Yizi, Acharya, Saurav, Mehdiyev, Rashid, Batt, Nida, Mitra, Shubhankar, Liberman, Valeriy
Format Patent
LanguageEnglish
Published 29.06.2023
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using various marketplace data associated with products and suppliers. The electronic device may analyze information associated with a given product or a given supplier using the trained machine learning models to predict a performance of the product or supplier, as well as determine various recommendations associated with the design, testing, inspection, and/or distribution of products.
Bibliography:Application Number: US202218085519