Scheme evaluation authentication system

    公开(公告)号:US11880440B2

    公开(公告)日:2024-01-23

    申请号:US17397484

    申请日:2021-08-09

    CPC classification number: G06F21/316 G06F40/279

    Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for a scheme evaluation authentication system to evaluate user action and machine learned pattern recognition for misappropriation activity prevention. In this way, bot and token deployment is utilized for identification of user actions to generate a user idiosyncrasy database. Using the database, the system creates a real-time scheme evaluation authentication for user authentication upon user attempted authentications. As such, a user may by authenticate irrespective of user inputs, but instead based on a match of user actions at the authentication location in real-time compared to the idiosyncrasy database.

    System for directing resource transfers based on resource distribution data

    公开(公告)号:US11783271B2

    公开(公告)日:2023-10-10

    申请号:US17140525

    申请日:2021-01-04

    Abstract: Systems, computer program products, and methods are described herein for directing resource transfers based on resource distribution data. The present invention may be configured to receive resource distribution data associated with a plurality of resource distributions, where the resource distribution data includes a plurality of resources, a plurality of receiving locations, and a plurality of delivery locations. The present invention may be further configured to receive a target efficiency rate for transfer containers corresponding to a percentage of capacity of the transfer containers occupied while the transfer containers are transferring the resources. The present invention may be further configured to determine, based on the resource distribution data and the target efficiency rate, instructions for achieving the target efficiency rate for the transfer containers while receiving and delivering the plurality of resources from the plurality of receiving locations and to the plurality of delivery locations.

    System for predictive product replacement cycling

    公开(公告)号:US11763224B2

    公开(公告)日:2023-09-19

    申请号:US17140518

    申请日:2021-01-04

    CPC classification number: G06Q10/06315 G06N20/00

    Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to calculate product replacement cycle times and predict resource transfers associated with said product replacements. As such, the system allows for receipt of resource transfer datasets which are processed along with historical datasets via a machine learning engine. The system may then identify data trends and generate predictions of future resource transfers associated with product or service lifecycles. Furthermore, the system may also identify potential merchants or other third-party systems which may be associated with the predicted future transfers.

    ARTIFICIAL INTELLIGENCE SYSTEM FOR REAL-TIME CONTROL OF RESOURCE TRANSFER VOLUME

    公开(公告)号:US20230017782A1

    公开(公告)日:2023-01-19

    申请号:US17375399

    申请日:2021-07-14

    Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to predict future resource transfers and control the volume of said transfers. As such, the system allows for use of a machine learning engine to collect pending resource transfer information from a plurality of sources and predict future resource transfers associated with said sources. A single user may initiate resource transfers through a plurality of managing entities. By collecting data associated with each resource transfer, the system may identify data trends and generate predictions of future resource transfers independently of the facilitating entity. Thus, the system may benefit a number of entities, by providing real-time data analysis that would not be obtainable by any one entity operating alone. Additionally, the system may provide a single managing entity with real-time suggestions that may increase the volume of future resource transfers that the entity executes.

    SYSTEM FOR GENERATING STACKED NON-FUNGIBLE TOKENS ON A COLLABORATIVE TECHNICAL PLATFORM

    公开(公告)号:US20220391898A1

    公开(公告)日:2022-12-08

    申请号:US17338273

    申请日:2021-06-03

    Abstract: Systems, computer program products, and methods are described herein generating stacked non-fungible tokens on a collaborative technical platform. The present invention is configured to electronically receive, from a computing device of a user, a collaborative digital artifact, wherein the collaborative digital artifact comprises portions of one or more digital artifacts; retrieve one or more non-fungible tokens (NFTs) associated the one or more digital artifacts; generate a stacked NFT for the collaborative digital artifact based on at least the one or more NFTs associated with the one or more digital artifacts; and store the stacked NFT associated with the collaborative digital artifact on a distributed ledger.

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