Authenticating user identity based on data stored in different locations

    公开(公告)号:US11531739B1

    公开(公告)日:2022-12-20

    申请号:US16917280

    申请日:2020-06-30

    申请人: UIPCO, LLC

    摘要: A system may include a first computing device that receives identification data and an identifying parameter associate with a user and requests a second computing device to authenticate the user based on the identification data. The second computing system may query a first database for a first portion of authentication data based on the identifying parameter and then determine that a second portion of the authentication data exists based on the first portion of the authentication data. The first portion of the authentication data may include a pointer that identifies a second database that includes the second portion of authentication data such that the second computing device may retrieve it. The first and second portions of the authentication data may then be combined to form a combined authentication data to then be compared with the identification data, and the results of the comparison are sent to the first computing system.

    Systems and methods for cross-channel communication management

    公开(公告)号:US11514460B1

    公开(公告)日:2022-11-29

    申请号:US16118900

    申请日:2018-08-31

    申请人: UIPCO, LLC

    摘要: Disclosed herein are systems and methods capable of establishing a communication session between a user and an analyst. The contents of the communication session are analyzed to make recommendations of goods and services to the user. Otherwise, the communication session may be redirected from one channel, for example, chatting to another channel, for example, voice call, to another analyst. The user's information and the communication session details are retained, and provided to another analyst before the user is redirected. Such systems, apparatuses, methods, and computer program products use real-time machine learning scoring algorithm to determine which analyst the users should be transferred to, and thereby saving a lot of time for both the analysts and the users, and significantly reduce misroutes by eliminating human errors.