Walmart Apollo, LLC

Diego Alvaro Goyret

Varun Srivastava

Zuzar Fakhruddin Nafar

Rohit Deep

Phanindra Vuppalapati

Kannan Govindan

Michael Jayson C De Leon

Siddarth Vasant Gaonkar

Raghavendra Sarangapurkar

Deepak Arora

Prashant Gupta

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform tracking respective duration data for each respective item of items in a catalog based on purchase histories; measuring a reorder rate for the each respective item within one or more first periods of time; generating a Weibull distribution for the each respective item; training a machine learning model based on previous orders by the users; generating, using the machine learning model, as trained, a ranked list of one or more first items for a user of the users, a respective predicted quantity for each of the one or more first items, and an average basket size for the user; receiving a request for recommended items from the user using a user interface; and sending the ranked list of the one or more first items to be displayed on the user interface. Other embodiments are disclosed.

Smart basket recommendations for online selections

This application relates generally to systems and methods for identification of facets for associated items in a datastore. In an embodiment, a method performed by a computing device includes: receiving, from a supplier device, a first item dataset characterizing a first item purchasable on a sales platform. The method also includes associating the first item with a facet in accordance with an instruction from an internal merchant device, where the facet is separate from the first item dataset, and where the facet may be selected to differentiate the first item from a second item purchasable on the sales platform. The method also includes retrieving the facet from a datastore in response to an item request from a customer device. The method also includes retrieving the first item dataset from a datastore in response to a selection of the facet from the customer device.

Systems and methods for facet discovery

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Los Gatos, CA, United States of America

Diego Alvaro Goyret