Method, system and computer-readable medium for generating pre-purchasing confidence recommendations for a user
A computer-implemented method for generating pre-purchasing confidence recommendations. A browser widget scans post-sale activities of a user and searches for product-specific parameters of items from the scanned purchase records. A system stores the searched product-specific parameters and the post-sale activities in a data storage. The browser widget monitors purchasing activities of the user, and in response to the monitoring, retrieving, relevant product-specific parameters and the post-sale activities matching to the monitored purchasing activities. Based on the retrieving, generating a pre-purchasing confidence recommendation to the user before completion of a purchase by the user.
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.
2. The computer-implemented method of claim 1 , wherein at least one of the first data source or the second data source comprises electronic mail messages of the user.
3. The computer-implemented method of claim 1 , wherein generating the pre-purchase confidence recommendation is based on the user adding an item to an online shopping cart.
4. The computer-implemented method of claim 1 , wherein generating the pre-purchase confidence recommendation is based on the user searching for an item matching one of the obtained product-specific parameters.
5. The computer-implemented method of claim 1 , wherein the purchasing activities comprise at least one of a search, a selection of an item, or a highlighting of an item executed by the user.
6. The computer-implemented method of claim 1 , wherein the obtained product-specific parameters are obtained via searching at least one database separate from the memory of the device for product-specific parameters of each purchase record of the scanned purchase records.
7. The computer-implemented method of claim 1 , further comprising storing the first set of post-sale activities, the second set of post-sale activities, and the obtained product-specific parameters in a distributed data source accessible by the browser execution environment.
8. A computer system for generating pre-purchasing confidence recommendations comprising:
a memory of a device for storing applications and data;
a display of the device for presenting graphical user interfaces (GUI) of a browser execution environment to a user;
a processor accessible by the memory, wherein the processor is configured to execute computer-executable instructions for:
presenting a widget to be selected by the user via the display of the device 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 the memory of the device 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.
9. The computer system of claim 8 , wherein at least one of the first data source or the second data source comprises electronic mail messages of the user.
10. The computer system of claim 8 , wherein generating the pre-purchase confidence recommendation is based on the user adding an item to an online shopping cart.
11. The computer system of claim 8 , wherein generating the pre-purchase confidence recommendation is based on the user searching for an item matching one of the obtained product-specific parameters.
12. The computer system of claim 8 , wherein the purchasing activities comprise at least one of a search, a selection of an item, or a highlighting of an item executed by the user.
13. The computer system of claim 8 , wherein the obtained product-specific parameters are obtained via searching at least one database separate from the memory of the device for product-specific parameters of each purchase record of the scanned purchase records.
14. The computer system of claim 8 , further comprising storing the first set of post-sale activities, the second set of post-sale activities, and the obtained product-specific parameters in a distributed data source accessible by the browser execution environment.
15. The computer system of claim 8 , further comprising receiving input from the user, said input comprising personal preferences of products.
16. A non-transitory computer-readable medium storing computer-executable instructions for generating pre-purchasing confidence recommendations, the computer-executable instructions comprising:
presenting a widget to be selected by a user via a display of a user device 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 the user 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.
17. The non-transitory computer-readable medium of claim 16 , wherein at least one of the first data source or the second data source comprises electronic mail messages of the user.
18. The non-transitory computer-readable medium of claim 16 , wherein generating the pre-purchase confidence recommendation is based on the user adding an item to an online shopping cart.
19. The non-transitory computer-readable medium of claim 16 , wherein generating the pre-purchase confidence recommendation is based on the user searching for an item matching one of the obtained product-specific parameters.
20. The non-transitory computer-readable medium of claim 16 , wherein the purchasing activities comprise at least one of a search, a selection of an item, or a highlighting of an item executed by the user.