Walmart Apollo, LLC

Pingjian Yu

Zhichun Xiao

Haining Liu

Feiyun Zhu

Jon Hammer

Yao Liu

Ryan B Reagan

Lingfeng Zhang

Tianyi Mao

Yutao Tang

Sicong Fang

Mingquan Yuan

Shouyi Zhang

Yuqi Zhang

Zhenyu Wang

Shangeetha Ravichandran Susseelaa

Yijing Sun

Han Zhang

Joseph Duffy

Chunmei Wang

Yunus Kamal

Xiang Yao

Pingyuan Wang

Yu Tao

Muzzammil Afroz

Wenyue Shi

Siddharth Hareendran

Jianbo Gu

Pawan R Natarajan

Philippe E Bled

Chinar Potnis

This disclosure provides techniques for facilitating modeling responses to variable parameters, and in particular embodiments, within the context of a price setting strategy for a retail club. A trained member response metric model may be trained using a training corpus. A modified price for a target item may be then be predicted, and used to calculate a predicted demand for the target item. The predicted demand may be used to calculate predicted sales of the target item, after which predict a member response metric score associated with the modified price may be determined using the first trained member response metric model and the predicted sales.

Systems and method to facilitate modeling responses to variable values

There are provided systems and methods relating to checking and confirming merchandise purchased at shopping facilities. In one form, the system includes: a shopping cart containing merchandise items to be purchased; a sales transaction database; a point-of-sales system that creates transaction records identified by transaction identifiers; and a mobile device used by an employee that includes a sensor to scan a paper or digital receipt to obtain the transaction identifier and a camera to capture images of the items in the shopping cart. The system also includes a control circuit that receives the transaction identifier, accesses the database using the identifier to determine the purchased items; analyzes the images of the merchandise items in the shopping cart and creates a computer vision receipt listing detected items; compares the purchased items with the detected items; and takes an action if there is a discrepancy.

Systems and methods for checking and confirming the purchase of merchandise items

A transaction record is created showing a purchase transaction of a customer. A CV profile showing a list of items in the transaction obtained from images is also obtained. The items in the transaction record are compared to items on the list. When there is a discrepancy, an action to take is determined.

System and method for detecting unpaid items in retail store transactions

In some embodiments, apparatuses and methods are provided herein useful to detecting text in images. In some embodiments, a system for detecting text in images comprises a database configured to store images and a control circuit configured to retrieve an image, generate, based on the image, a collection of augmented images, detect characters in each of the augmented images, generate bounding boxes for the characters in each of augmented images, recognize the characters in each of the augmented images, select, based on the recognition of the characters in each of the augmented images, candidate characters, wherein the candidate characters are selected based on consistency of the recognition of the characters in each of the augmented images, detect, for the image, a color associated with the characters, and store, in the database, the image, the candidate characters, and the color associated with the characters.

Systems and methods for detecting text in images

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Plano, TX, United States of America

Pingjian Yu