US 12,229,818 B2
Method, system and computer-readable medium for generating pre-purchasing confidence recommendations for a user
Nikhil Patil, Foster City, CA (US)
Assigned to Visa International Service Association, San Francisco, CA (US)
Filed by Visa International Service Association, San Francisco, CA (US)
Filed on Aug. 14, 2023, as Appl. No. 18/449,170.
Application 18/449,170 is a continuation of application No. 16/294,844, filed on Mar. 6, 2019, granted, now 11,727,461.
Prior Publication US 2023/0385905 A1, Nov. 30, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/0601 (2023.01); G06F 17/15 (2006.01); H04L 67/50 (2022.01)
CPC G06Q 30/0631 (2013.01) [G06F 17/15 (2013.01); G06Q 30/0621 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0643 (2013.01); H04L 67/535 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for generating pre-purchasing confidence recommendations for a user, the computer-implemented method comprising:
presenting a widget to be selected for installation, the widget executable within a browser execution environment, wherein the widget is to provide functionality within the browser execution environment only and is to be presented to the user as an icon on a graphical user interface (GUI) of the browser execution environment;
in response to the installation of the widget in a memory of a device where the browser execution environment is installed and in response to a search query input by the user in a search bar to be presented on the GUI of the browser execution environment, scanning, via the widget, purchase records of a first data source for a first set of post-sale activities and a second data source for a second set of post-sale activities, wherein the first set of post-sale activities and the second set of post-sale activities are associated with at least one of a return request of a past purchased item, an acceptance from a merchant of the return request, an exchange request of a past purchased item, or a feedback of a past purchased item from the user;
presenting the scanned purchase records that include the first set of post-sale activities and the second set of post-sale activities in a display area on the browser execution environment;
obtaining product-specific parameters of each purchase record of the scanned purchase records, wherein the product-specific parameters comprise at least one of a stock keeping unit (SKU) value, a universal product code (UPC) value, a size value, a color value, or a serial number;
correlating the product-specific parameters with post-sale activities of the first set of post-sale activities and the second set of post-sale activities; and
generating, based on a comparison between purchasing activities of the user and the correlated product-specific parameters and post-sale activities, a pre-purchase confidence recommendation at a notification location of the GUI of the browser execution environment while the display area of the browser execution environment displays the scanned purchase records before completion of a purchase by the user.