Walmart Apollo, LLC

William Craig Robinson, Jr

Praneeth Gubbala

Dong T Nguyen

Bahula Bosetti

Amit Jhunjhunwala

Lingfeng Zhang

Benjamin R Ellison

Avinash Madhusudanrao Jade

Raghava Balusu

Zhaoliang Duan

Srinivas Muktevi

Mingquan Yuan

Ashlin Ghosh

Siddhartha Chakraborty

Xuan Zhang

Shivraj V Kodak

Mekhala M Vithala

Songshan Li

Priya Ashok Kumar Choudhary

Santosh Kumar Kurashetty

Makeshwaran Sampath

Srihari Attuluri

Venkata Maguluri

Spencer S Seeger

Lindsay S Leftwich

George E Loring

In some embodiments, apparatuses and methods are provided herein useful to processing captured images of objects at a product storage facility. In some embodiments, there is provided a system for processing captured images of objects including a trained machine learning model and a control circuit. In some embodiments, the trained machine learning model is configured to process unprocessed captured images. In some embodiments, the control circuit is configured to associate each of the processed images into one of a first group, a second group, or a third group; remove at least one processed image associated with the first group from the processed images in accordance with a first processing rule; and output remaining processed images associated with the first group and processed images associated with the second group to be used to retrain the trained machine learning model.

Systems and methods for processing images captured at a product storage facility

Some embodiments provide retail product ordering systems comprising: a user computing device comprising an application executed by a device control circuit to: receive an audible utterance; controls a product identifier application interface to: apply a tokenizer model and obtain a set of individual search words; apply a series of featurizer models to the search words to generate features; and apply a classifier and extractor model based on the features and generate multiple requested product entities each comprising a respective sub-set of the position labeled product terms; wherein the device control circuit is further configured to access a purchase history database, confirm an accuracy of each of requested product entities relative to a purchase history, generate a listing of determined product identifiers corresponding to the confirmed set of the multiple requested product entities, and control a display system of the user computing device to render the listing of determined product identifiers.

Systems and methods to identify products from verbal utterances

In some embodiments, methods and systems are provided for processing information requests of workers at a retail facility and retrieving information associated with the retail facility based on the information requests. An electronic device permits a worker at the retail facility to input an information request in association with at least one worker at the retail facility or at least one product at the retail facility. A computing device receives, from the electronic device, electronic data representative of a scope of the information request, analyzes this electronic data to determine the scope of the information request, obtain relevant information from one or more databases, and transmits the obtained information to the electronic device, which in turn outputs the information to the worker.

Systems and methods for processing retail facility-related information requests of retail facility workers

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Centeron, AR, United States of America

William Craig Robinson, Jr