Systems and Methods for Analysis of Internal Data Using Generative AI

    公开(公告)号:US20240289851A1

    公开(公告)日:2024-08-29

    申请号:US18196682

    申请日:2023-05-12

    摘要: Systems and methods are described for identifying impactful elements in database information to generate a dialogue output. The method may include: (1) receiving, by one or more processors, internal database information at a generative artificial intelligence (AI) model, wherein the internal database information includes data associated with interaction dialogue; (2) analyzing, by the one or more processors, the internal database information via the generative AI model to generate an internal database analysis; (3) identifying, by the one or more processors and based upon at least the internal database analysis, one or more impact elements regarding human understanding of the internal database information via the generative AI model; and (4) generating, by the one or more processors and based upon at least the one or more impact elements, a dialogue output (or visual or virtual output) regarding the data via the generative AI model.

    System and method for a better fitting wearable item

    公开(公告)号:US12067608B2

    公开(公告)日:2024-08-20

    申请号:US18172623

    申请日:2023-02-22

    摘要: A method includes a processor receiving consumer first data and consumer feedback associated with a wearable item from a plurality of consumer devices. The processor aggregates the consumer first data and the consumer feedback into a plurality of first aggregated subsets based on a portion of the consumer first data and the consumer feedback. The processor grants a wearable item designer device of a plurality of wearable item designer devices access to the consumer first data, the consumer feedback or the plurality of first aggregated subsets. A wearable item designer associated with the wearable item designer device is configured to modify a wearable item design for a solid form of a wearable item mold in an assembly process, based on the consumer first data, the consumer feedback or the plurality of first aggregated subsets.

    Method and system for rating consumer products

    公开(公告)号:US12067599B2

    公开(公告)日:2024-08-20

    申请号:US16600510

    申请日:2019-10-13

    申请人: Ofer Tzucker

    发明人: Ofer Tzucker

    IPC分类号: G06Q30/0282 G06F3/04847

    CPC分类号: G06Q30/0282 G06F3/04847

    摘要: A computer-implemented method for rating a consumer product or service, the method including: calculating, by a computer system comprising at least one computer in a network comprising at least one processor, a lay rating from at least one rating score built from several weighted parameters, provided by a respective lay consumer; calculating, by the computer system, an expert rating calculated from at least one rating score built from several weighted parameters provided by a respective expert; receiving, by the end user, using the computer system, a selection of a respective weight for each of the lay rating and the expert rating by an end-user via a graphic user interface (GUI); calculating, by the computer system, a total rating as a result of a weighted average biased according to the respective weights selected by the end-user; and displaying, by the computer system, the total rating on the GUI.

    System for collecting customer ratings from a pin entry device

    公开(公告)号:US12067563B2

    公开(公告)日:2024-08-20

    申请号:US15523892

    申请日:2015-11-02

    申请人: TRURATING LIMITED

    摘要: The present invention provides a system operable to collect customer ratings during a transaction using an electronic point of sale system comprising a computer programmed to effect operation of the electronic point of sale system. The system includes a POS module programmed to manage operation of a scanner, a PIN entry device; a payment application operable to manage the PIN entry device; a POS proxy module; a payment application plug-in operable in conjunction with the payment application; a scanner pass-through driver operable to pass scanner signals between the POS module and the scanner while collecting information from the scanner signals and sending that information to the POS proxy module; wherein the POS proxy module is programmed to cause collection of a customer rating during the transaction by using the information received from the scanner pass-through driver to initiate a customer rating collection session, to send a customer rating initiation signal to the payment application plug-in which in turn causes the PIN entry device to prompt the customer to enter a rating.

    ARTIFICIAL INTELLIGENCE COACH FOR PROVIDING CUSTOMER SERVICE FEEDBACK TO EMPLOYEES

    公开(公告)号:US20240273584A1

    公开(公告)日:2024-08-15

    申请号:US18440051

    申请日:2024-02-13

    申请人: The DGC Group

    发明人: Devin Gonier

    IPC分类号: G06Q30/0282

    CPC分类号: G06Q30/0282

    摘要: An artificial intelligence coach is provided that can automatically generate customer service feedback for employees of a company. In one example, a computer system can generate an input for the artificial intelligence coach, the input including custom input data that is associated with an employee. The computer system can provide the input to the artificial intelligence coach. The artificial intelligence coach can be configured to generate an output based on the custom input data. The output can include customer service feedback for the employee. The computer system can then transmit the customer service feedback to a client device of the employee via a network.

    SYSTEMS AND METHODS TO ENHANCE NEWS LITERACY IN NEWS CONSUMERS

    公开(公告)号:US20240257272A1

    公开(公告)日:2024-08-01

    申请号:US18411351

    申请日:2024-01-12

    申请人: Snapwise Inc.

    摘要: Examples of methods and systems to generate information about news source items appearing in user social media feed content, where the news source items describe news events or topics. The news events or topics can be identified by the recognition of news information associated with a news source in information configured for use as user social media feed content. The generated information can be displayed on a user device along with assigned bias, skew, or viewpoint ratings for news sources that describe the news source events. The news source items, news sources, and information can be selected on the user display for further user review. Notifications associated with news source bias, skew, or viewpoint ratings and information associated with user engagement with social media feed content can also be generated. Bias, skew, or viewpoint ratings for user social media accounts can be provided.

    INFORMATION RETRIEVAL SYSTEM AND INFORMATION RETRIEVAL METHOD

    公开(公告)号:US20240257190A1

    公开(公告)日:2024-08-01

    申请号:US18502587

    申请日:2023-11-06

    发明人: Hiroshi SHIMOMURA

    IPC分类号: G06Q30/0282

    CPC分类号: G06Q30/0282 G06Q50/01

    摘要: According to an embodiment, an information retrieval system detects a product that is identified by product identification information stored in association with user identification information, from the information posted by a posting-person site of a posting-person identified by posting-person identification information stored in association with the user identification information. The information retrieval system detects sales information of the detected product from a store site that provides sales information of various products.

    PRODUCT DESCRIPTION AUGMENTATION
    19.
    发明公开

    公开(公告)号:US20240249331A1

    公开(公告)日:2024-07-25

    申请号:US18157854

    申请日:2023-01-23

    申请人: ADOBE INC.

    IPC分类号: G06Q30/0601 G06Q30/0282

    CPC分类号: G06Q30/0627 G06Q30/0282

    摘要: Systems and methods for product description augmentation are provided. According to one aspect, a method for product augmentation includes performing, by an attribute inference component, a semantic analysis of a product review for a product to obtain review data including an attribute of the product; computing, by a delta component, a difference between the review data and a product description for the product, wherein the difference includes the attribute; and generating, by a generative machine learning model, an augmented product description for the product based on the difference, wherein the augmented product description describes the attribute.