Invention Grant
- Patent Title: Systems and methods for machine learning-based predictive order generation
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Application No.: US16297404Application Date: 2019-03-08
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Publication No.: US11436632B2Publication Date: 2022-09-06
- Inventor: Shashidhar Hiremath , Rohani Raina Jotshi , Abigail T. Castaneda , Krishnendu Karmohan , Pinaki Biswas , Amit Singh , Dustin Humphreys , Neeraj Garg , Sripriya Kannan
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US VA Arlington
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US VA Arlington
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/02 ; G06Q30/06 ; G06N20/00 ; G06N5/04

Abstract:
A system described herein may use automated techniques, such as machine learning techniques, to identify products that a user may be interested in purchasing. For example, a model may be created for a user, and attributes of products available for sale may be compared to the model. When determining that a user may be interested in a particular product, a graphical user interface (“GUI”) may be pre-populated and presented to a device of the user, to facilitate the user purchasing the product with minimal interaction.
Public/Granted literature
- US20200286124A1 SYSTEMS AND METHODS FOR MACHINE LEARNING-BASED PREDICTIVE ORDER GENERATION Public/Granted day:2020-09-10
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