Toshiba Global Commerce Solutions Holdings Corporation

International Business Machines Corporation

Lenovo (Singapore) Pte. Ltd.

Patricia Stephany Hogan

Susan Winter Brosnan

Daniel Robert Goins

Jessica Snead

Stacy Arrington

Kenneth Hammer

Ronald Patrick Doyle

David John Steiner

John David Landers, Jr

Sandra Juni Schlosser

James I Hawk

Jessica Suzanne King Snead

Micah B Clark

Michael Leclair

Suzanne M Griep

David Christopher Klages

Vipulkumar Manubhai Chotaliya

Techniques for auditing purchases are provided. An item for purchase is scanned to determine a first identity of the item. The scanned item is added to a transaction. A first image of the scanned item is captured using a first camera. A second identity of the scanned item from the first image is determined using a trained machine learning (ML) model. Responsive to determining the first and second identities of the item do not match, an audit of the transaction is performed.

Auditing purchasing system

Aspects described herein include a method (and associated system and computer program product) comprises receiving an amount of a transaction from a point of sale (POS) terminal, and receiving, at a payment terminal, one or more user inputs comprising payment presentation information for the transaction. The method further comprises communicating the payment presentation information to a payment processing service to complete processing of the transaction. The method further comprises determining that the payment presentation information is not received at the payment processing service, and in response, encrypting the payment presentation information and transmitting the encrypted payment presentation information from the payment terminal to an external device.

System for store and forward in point of sale transactions

A method of assigning products to shoppers can be provided by determining that a plurality of shoppers are collaborating with one another to purchase a plurality of products included on a shared shopping list, receiving shopper characteristics for the plurality of shoppers, receiving respective parameters for the plurality of products included on the shared shopping list, assigning respective sub-lists of the plurality of products for picking by respective ones of the shoppers at a retail shopping location based on the shopper characteristics for the respective ones of the shoppers and the respective parameters for the plurality of products included on the shared shopping list, and providing the respective sub-lists of the plurality of products to the plurality of shoppers. Related systems are also disclosed.

Collaborative item list distribution system, method, and non-transitory computer-readable storage medium

Techniques for generating a window of effectiveness are provided. A region of effectiveness for a scanner at a checkout kiosk is provided, wherein the region of effectiveness defines a volume where successful scans occur. It is determined that a first path of an item is outside the region of effectiveness. Feedback to change a path of the item to be within the region of effectiveness during a rescan of the item is outputted, using the checkout kiosk.

Scanner swipe guidance system

The present disclosure provides techniques for monitoring transaction data. A first symbol is a symbol is assigned, at a first point in time, to a user device, where, when a user of the user device inputs an item, the user device outputs the symbol. The symbol is then detected, via one or more image capture devices, at one or more moments in time, and a number of times that the symbol was detected is determined. At a second point in time subsequent to the first point in time, a number of items associated with the user is determined. An audit of the uses is initiated based on determining that a difference between the number of times and the number of items exceeds a threshold maximum difference.

Auditing mobile transactions based on symbol cues and transaction data

Methods of assigning products from a shared shopping list to participating shoppers using shopper characteristics and product parameters and related systems

Embodiments herein describe a reverse auction application which can collect and display bids for a product or service to a user. The reverse auction application can also gather information about the user such as user preferences, brand loyalty, user characteristics, and the like. This information is provided to suppliers when requesting bids. The suppliers can use this information to then generate customized bids for the user. That is, unlike typical reverse auctions where bidders only compete over price, the bidders can use the user information provided by the reverse auction application to add incentives, offer combination orders, or offer additional services in their bids, as well as determine an optimum price.

Providing mined user information to suppliers for generating customized bids

Information regarding each recipient of a selected group of users is retrieved, such as each recipient of a number of recipients of an email, and such as responsive to a request made in relation to the email. One or more relationships among the users are determined, based on the information retrieved regarding each user. Such relationships can include job groups, job titles, locations, and/or family relationships, among other types of relationships. The one or more relationships among the users are displayed.

Display of user relationships

Embodiments of the invention relate to leveraging disk controller cache memory to simulate non-volatile random access memory. At least one logical block address in cache memory of the disk controller is designated and set aside as permanently dirty. Read operations may be supported with data in the cache memory; including data retained in any block address designated as permanently dirty. Write operations may also be supported by storing the write data in the logical block address designated as permanently dirty.

Simulated NVRAM

Method, computer program product, and system to facilitate a checkout transaction for a person within an environment having a plurality of items. The method includes determining, using a visual sensor disposed within the environment, image information associated with the person. The method further includes analyzing the image information to identify one or more of the plurality of items that are selected by the person to be presented during the checkout transaction. In some cases, the method also includes determining whether the identified items belong to a predetermined class of items deemed to be 'difficult.' The method further includes determining, based on the one or more identified items, a level of assistance to provide to the person during the checkout transaction.

Method, computer program product, and system for providing a sensor-based environment

A method and system for providing device driver configurations on demand during runtime within a computer system is disclosed. In accordance with a method of the present invention, a Hardware Namespace is constructed by a Hardware Resource Manager and a Logical Device Namespace is constructed by a Logical Device Manager within the computer system. A determination is made as to whether or not the peripheral device is contained within the Hardware Namespace and whether or not a device driver for the peripheral device is also contained within the Logical Device Namespace, in response to a first attempt to access a peripheral device after system boot-up by an application software. In response to a determination that the peripheral device is not contained within the Hardware Namespace, a user is prompted to install the peripheral device within the computer system. On the other hand, in response to a determination that the device driver for the peripheral device is not contained within the Logical Device Namespace, the user is prompted to install the device driver for the peripheral device within the computer system. After loading the device driver to a system memory, the peripheral device can be utilized by the application software via the device driver.

Growing community of inventors

Raleigh, NC, United States of America

Patricia Stephany Hogan