SYSTEMS AND METHODS FOR NEGOTIATING THE PURCHASE OF A VEHICLE USING A CHATBOT

    公开(公告)号:US20240362692A1

    公开(公告)日:2024-10-31

    申请号:US18597514

    申请日:2024-03-06

    CPC classification number: G06Q30/0611 G06Q30/0283

    Abstract: A computer-implemented method may include, by one or more processors and/or associated transceivers: (1) detecting a signal that a buyer would like to purchase a vehicle, wherein the signal indicates a vehicle type of the vehicle; and/or (2) inputting the vehicle type into a generative artificial intelligence (AI) model. The generative AI model is trained on transactional data associated with vehicle purchases to learn a relationship between vehicle purchase terms and buyer characteristics, and is configured to: (i) identify one or more sellers of the vehicle type; (ii) establish a communication coupling with the one or more sellers of the vehicle type; (iii) automatically negotiate, with the one or more sellers, one or more terms for purchasing available vehicles of the vehicle type; and/or (iv) present the terms to the buyer to facilitate purchase of a particular vehicle of the available vehicles from a particular seller.

    Systems and Methods for Analysis of Home Telematics Using Generative AI

    公开(公告)号:US20240289596A1

    公开(公告)日:2024-08-29

    申请号:US18196700

    申请日:2023-05-12

    CPC classification number: G06N3/0475 G06Q40/08

    Abstract: Systems and methods are described for analyzing home telematics data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, home telematics data at a generative artificial intelligence (AI) model, wherein the home telematics data includes sensor data regarding a property associated with a user; (2) analyzing, by the one or more processors and using the generative AI model, the home telematics data to generate a home telematics analysis for the property; and (3) generating, by the one or more processors and using the generative AI model, a dialogue output (or visual or virtual output for display) to present to the user based upon at least the home telematics analysis, wherein the dialogue output is further generated based upon at least a predicted user understanding of the dialogue output.

    NFTs as a Backup/Restore Option
    15.
    发明公开

    公开(公告)号:US20240126649A1

    公开(公告)日:2024-04-18

    申请号:US18187607

    申请日:2023-03-21

    CPC classification number: G06F11/1415 G06F16/27 G06Q20/3672

    Abstract: The following relates generally to creating a backup of data and/or settings of a smart device. In some embodiments, one or more processors receive the data and/or settings of the smart device. The one or more processors may then mint a non-fungible token (NFT) that references a link to a data storage area. The data storage area may store: (i) an identification of the smart device, and/or (ii) the received data and/or settings of the smart device. The following also relates generally to providing a warranty of an item. In some embodiments, one or more processors detect an indication of a sale. The one or more processors may then mint a warranty non-fungible token (NFT) that: (a) is owned by the owner of the item, (b) identifies the item, and (c) identifies warranty information of the item.

    MANAGING SELF-DRIVING BEHAVIOR OF AUTONOMOUS OR SEMI-AUTONOMOUS VEHICLE BASED UPON ACTUAL DRIVING BEHAVIOR OF DRIVER

    公开(公告)号:US20220315014A1

    公开(公告)日:2022-10-06

    申请号:US17848232

    申请日:2022-06-23

    Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Patent Agency Ranking