Toshiba Global Commerce Solutions Holdings Corporation

Toshiba Global Commerce Solutions

Craig Compton

Timothy Wayne Crockett

Tong Yu

Duane Scott Miller

Jose R Figueroa

Suzanne M Bleakley

Scott Graham

Daniel Hunt

Paul Kokkelenberg

Charles Kurtz

Edna Novido

D Williams

Sally Ierston

David John Steiner

Kimberly Wood

Craig W Turner

Paul Morton Wilson

John A Hibbard

Ashley Lanier Trimpey

Roberto Cabral Frias

Wan-Chen Tsai

John Hibbard

Craig Turner

Paul Wilson

Ashley Trimpey

Barry Stewart

The present disclosure utilizes excess processing capacity of a point of sale (POS) system by dynamically managing assigned tasks based on an expected activity of an individual. A resource management system can use image data and a trained neural network to analyzes aspects of an appearance or a behavior of the individual as captured in the image data to quantify a likelihood of the individual participating in a checkout procedure. The resource management system can dynamically allocate resources across different POS systems in anticipation of expected activity. This allows for the efficient use of the POS systems' resources while maintaining good system performance and a positive experience.

Retail resource management allocation system

Techniques for self-checkout alert reduction based on packaging detection. A deflection in a first bag reservoir associated with a self-checkout kiosk is determined. The first bag reservoir is positioned adjacent to a packing area and includes a first type of bags. The self-checkout kiosk includes a terminal scale and further includes a platform scale in the packing area. That an empty bag is retrieved from the first bag reservoir is determined based on the deflection in the first bag reservoir. A bag type and a weight range are identified for the empty bag. An allowed weight range of a combination of the empty bag and a desired item is then determined. Presence of the empty bag on the platform scale is prevented from causing a loss prevention alert to be generated when the desired item has been placed in the empty bag on the platform scale.

Self-checkout alert reduction based on packaging detection

The present disclosure provides improved packaging detection at self-checkout kiosks by identifying a given bag type for a bag selected at a self-checkout kiosk out of a plurality of bag types available from a bag dispenser associated with the self-checkout kiosk; identifying a weight range for the given bag type; in response to determining that the bag has been moved to a packing area of the self-checkout kiosk, comparing a first weight in the packing area from before the bag was moved to the packing area with a second weight in the packing area that includes the bag; and in response to a difference between the first weight and the second weight falling outside of the weight range, generating a loss prevention alert and pausing a transaction at the self-checkout kiosk.

Packaging detection for self checkout

A non-transitory computer-readable medium whose contents, when executed by a computing system, can cause the computing system to perform operations for an audited shopping system that include receiving scanned product information identifying a current product and an associated weight of the current product. An indication can be determined to place the current product in a selected bag among a plurality of bags. The associated weight of the current product can be added to a previous calculated weight of products in the selected bag to provide a current calculated weight of products in the selected bag and then all previous operations can be repeated until receiving an indication that shopping is done to provide a plurality of products that are distributed among the plurality of bags, wherein each bag has a respective calculated weight of all products in the bag and indicating a selected one of the plurality of bags as an audited bag for weighing.

Methods for auditing shopping, related devices, and articles of manufacture

Growing community of inventors

Wake Forest, NC, United States of America

Craig Compton