Systems and methods for forecasting campaign parameters using machine learning architectures and techniques

US11295347B1 · kind B1 · utility

Assignee

• Walmart Apollo, LLC · US

Inventors

• Yang Peng · Shanghai, CN
• Qing Zou · Sunnyvale, US
• Sai Sri Ram Haridass · Sunnyvale, US

Key dates

• Filing date: Jan 30, 2021
• Grant date: Apr 5, 2022
• Expiry date: Jan 30, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0256
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing access to a forecasting system that includes a machine learning model configured to forecast one or more campaign predictions associated with an electronic advertising campaign; extracting historical campaign data from one or more databases using a distributed processing system; generating training features for training the machine learning model; executing a training procedure that is configured to train the machine learning model, at least in part, using the training features; and executing, after completion of the training procedure, the machine learning model to forecast a predicted ROAS value or a predicted budget value. Other embodiments are disclosed herein.