-
公开(公告)号:US20250094767A1
公开(公告)日:2025-03-20
申请号:US18470905
申请日:2023-09-20
Applicant: Walmart Apollo, LLC
Inventor: Akshit Sarpal , Qiwen Kang , Lijie Wan
Abstract: Systems and methods of anomaly detection using an optimal reference value are disclosed. A plurality of source-specific anchor values are received and a plurality of model features are generated. A plurality of trained source-specific classification models, each associated with at least one of the plurality of source-specific anchor values and each configured to receive a subset of the plurality of model features, are implemented. Each of the plurality of trained source-specific classification models is configured to classify the associated at least one of the plurality of source-specific anchor values as one of anomalous or non-anomalous. A trained weighted classification model is implemented to generate an optimal anchor value. The optimal anchor value includes a weighted aggregation of each of the plurality of source-specific anchor values identified as non-anomalous. An optimal reference value is generated based on the optimal anchor value.
-
公开(公告)号:US20250131344A1
公开(公告)日:2025-04-24
申请号:US18490371
申请日:2023-10-19
Applicant: Walmart Apollo, LLC
Inventor: Huidong Zhang , Weihang Ren , Lijie Wan
IPC: G06Q10/04 , G06Q30/0202
Abstract: System and methods for controlling product price adjustments are disclosed. In some embodiments, a disclosed method includes: identifying, based on the historical product data, one of more products from the plurality of products for implementation of a markdown, receiving, from a user interface, a plurality of market inputs associated with the one or more products, generating an optimal time period and optimal markdown value associated with the markdown of the one or more products, and mapping the one or products to a prioritization indication based on the optimal time period and the optimal markdown value.
-
3.
公开(公告)号:US20240338721A1
公开(公告)日:2024-10-10
申请号:US18132190
申请日:2023-04-07
Applicant: Walmart Apollo, LLC
Inventor: Huidong Zhang , Akshit Sarpal , Elliot Grenn Silva , Fangjing Fu , Fangping Huang , Yang Song , Weihang Ren , Lijie Wan
IPC: G06Q30/0201
CPC classification number: G06Q30/0206
Abstract: Systems and methods for dynamically and automatically updating item prices on e-commerce platform are disclosed. In some embodiments, an item is offered for purchase with a current price on a website. When price elasticity data and predicted demand data for the item are both available, a first markdown price is generated for the item using a first model based on: the price elasticity data, the predicted demand data, and the current price. When the price elasticity data and the predicted demand data are not both available, a second markdown price is generated for the item using a second model based on: a decay rate, the current price, and availability of the predicted demand data. A bounded price is generated by applying an upper bound and a lower bound to either the first markdown price or the second markdown price; and transmitted to a computing device for updating the current price of the item on the website.
-
-