ELECTRONIC SHOPPING CART PREDICTION AND CACHING OF ELECTRONIC SHOPPING CART COMPUTATIONS

    公开(公告)号:US20240078572A1

    公开(公告)日:2024-03-07

    申请号:US17903360

    申请日:2022-09-06

    Applicant: Adobe Inc.

    CPC classification number: G06Q30/0222 G06Q30/0625

    Abstract: Embodiments provide systems, methods, and computer storage media for prediction and computation of electronic shopping carts. In an example embodiment, for each interaction between an e-shopper and an e-commerce application, one or more predicted electronic shopping carts that represent a combination of items the e-shopper is likely to purchase are generated based on current items in the e-shopper's electronic shopping cart and recent interactions with the e-shopper. For some or all of the predicted electronic shopping carts (e.g., those with top predicted confidence levels), corresponding shopping cart computations (e.g., identifying application promotions, determining a price total for the items in the predicted shopping cart) are executed and cached prior to the e-shopping adding the predicted items. As such, a page configured to visualize the predicted electronic shopping cart with a value retrieved from the cached shopping cart computations (e.g., price total for the predicted electronic shopping cart) is generated.

    Electronic shopping cart prediction and caching of electronic shopping cart computations

    公开(公告)号:US11935085B1

    公开(公告)日:2024-03-19

    申请号:US17903360

    申请日:2022-09-06

    Applicant: Adobe Inc.

    CPC classification number: G06Q30/0222 G06Q30/0625

    Abstract: Embodiments provide systems, methods, and computer storage media for prediction and computation of electronic shopping carts. In an example embodiment, for each interaction between an e-shopper and an e-commerce application, one or more predicted electronic shopping carts that represent a combination of items the e-shopper is likely to purchase are generated based on current items in the e-shopper's electronic shopping cart and recent interactions with the e-shopper. For some or all of the predicted electronic shopping carts (e.g., those with top predicted confidence levels), corresponding shopping cart computations (e.g., identifying application promotions, determining a price total for the items in the predicted shopping cart) are executed and cached prior to the e-shopping adding the predicted items. As such, a page configured to visualize the predicted electronic shopping cart with a value retrieved from the cached shopping cart computations (e.g., price total for the predicted electronic shopping cart) is generated.

Patent Agency Ranking