Walmart Apollo, LLC

Prashant Chandrakant Saundade

Kannan Achan

Sushant Kumar

Vidya Sagar Kalidindi

Kamiya Motwani

Sushant Pralhad Joshi

Evren Korpeoglu

Stephen Dean Guo

Rahul Iyer

Victor Anthony Perry, Iv

Sandhya Ajit

A system includes a computing device configured to receive order data indicating an order placed by a customer on an e-commerce platform and route the order into a test group or a control group when the order data indicates that the order will be filled by a store participating in the comparison test. The computing device is further configured to apply test features to the order if the order was routed into the test group and apply control features to the order if the order was routed into the control group and determine recommended substitute items based on the test features or the control features. The recommended substitute items are intended to replace items ordered by the customer that are unavailable. The computing device is also configured to determine one or more performance metrics of the test group and the control group.

Methods and apparatuses for evaluating substitutions made during order fulfillment processes

A category recommender system includes a computing device configured to obtain customer information characterizing a customer's interactions on an ecommerce marketplace. The computing device is further configured to determine discovery category rankings for each category of items available on the ecommerce marketplace for the customer based on the customer information, determine repeat category rankings for each category of items available on the ecommerce marketplace for the customer based on the customer information, and determine item rankings for each item in the ecommerce marketplace based on the customer information. The computing device is further configured to merge the discovery category rankings, the repeat category rankings and the item recommendation rankings into final recommendations based on one or more predetermined merging criteria and provide the final recommendations to the customer.

Methods and apparatuses for determining personalized recommendations using customer segmentation

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San Jose, CA, United States of America

Prashant Chandrakant Saundade