公开(公告)号：US20220405714A1

公开(公告)日：2022-12-22

申请号：US17353211

申请日：2021-06-21

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Suvarna S. Krishnan ,  Vishv Garg

IPC: G06Q10/10 ,  G06Q10/04 ,  G06N7/00

Abstract: An event scheduling system is described herein. The event scheduling system may configure a forecast model to utilize a plurality of time-based parameters. The event scheduling system may receive historical data that identifies historical workforce arrangements in association with a performance parameter of an organization. The event scheduling system may receive a request to schedule a workforce in association with a forecasted event. The event scheduling system may cause a forecast model to indicate a workforce arrangement for the organization during a time frame associated with the forecasted event. The event scheduling system may schedule a set of resources for work during the time frame in accordance with the workforce arrangement.

公开(公告)号：US20240378524A1

公开(公告)日：2024-11-14

申请号：US18195193

申请日：2023-05-09

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Suvarna S. Krishnan ,  Sriram Krishnan

IPC: G06Q10/0631

Abstract: Systems and methods for automatic resource allocation and optimization. The method receives at least one first data component associated with a user and at least one second data component associated with the user. The system determines at least one first value for a first metric of the user based on the received at least one first data component and determines at least one second value for a second metric of the user based on the received at least one second data component. The system determines at least one third value for a third metric of the user based on the at least one first value of the first metric and the at least one second value of the second metric and utilizes the at least one third value for the third metric in a forecasting mechanism.

公开(公告)号：US20240193532A1

公开(公告)日：2024-06-13

申请号：US18077990

申请日：2022-12-08

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Suvarna S. Krishnan ,  Izel Erdem

IPC: G06Q10/0833 ,  G06Q10/0837

CPC classification number: G06Q10/0833 ,  G06Q10/0837

Abstract: Systems and methods for tracking item handling data are disclosed herein. The method identifies, by an end user via an end user device, order information of at least one item designated for return and receives return identification information of the at least one item based on the identified order information. The method generates return shipment information in response to the received return identification information and generates return transaction information associated with the at least one item based on the order information, the return identification information, and the return shipment information. The method generates a return identifier indicative of the return transaction information associated with the at least item to be applied by the end user to a return package comprising the at least one item and tracks at least one attribute of the return transaction information associated with the at least one item via the return identifier.

公开(公告)号：US20250094891A1

公开(公告)日：2025-03-20

申请号：US18369019

申请日：2023-09-15

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Suvarna S. Krishnan ,  Sriram Krishnan

IPC: G06Q10/0631

Abstract: A method includes: detecting a plurality of events corresponding to operational disruptions for a facility, each event including one of a predetermined set of disruption type identifiers; retrieving configuration data defining, for each disruption type identifier, a set of impact attributes; determining, for each event, an impact score based on the set of impact attributes; generating, for each event, an exception record encoding the disruption type identifier and the impact score; sorting the exception records according to the impact scores; and providing the exception records, sorted according to the impact scores, to a task generator configured to output at least one task for responding to the operational disruptions.

公开(公告)号：US20240193537A1

公开(公告)日：2024-06-13

申请号：US18077982

申请日：2022-12-08

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Suvarna S. Krishnan ,  Izel Erdem

IPC: G06Q10/087

CPC classification number: G06Q10/087

Abstract: Systems and methods for tracking item handling data are disclosed herein. The method associates, by a first device of a first user, a first identifier of at least one first package comprising at least one item and a second identifier of a second package where the second package comprises the at least one first package and the association is indicative of a nested relationship. The method generates transaction information associated with the at least one item based on the association and packaging information of the at least one item, and generates a third identifier indicative of the transaction information associated with the at least one item applied to the second package. The method tracks at least one attribute of the transaction information associated with the at least one item via the third identifier.

公开(公告)号：US20240160962A1

公开(公告)日：2024-05-16

申请号：US17985690

申请日：2022-11-11

Applicant: ZEBRA TECHNOLOGIES CORPORATION

Inventor： Suvarna S. Krishnan ,  Savita Nitin Kolap ,  Amrit Raj Nigam ,  Vishv Garg

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: A method includes: storing, for a plurality of facilities, respective facility datasets including (i) facility attributes, and (ii) historical time series of values for a plurality of performance metrics; obtaining an identifier of a target one of the facilities; selecting a set of candidate facilities from the plurality of the facilities; obtaining a similarity evaluation stack configuration; for each candidate facility, generating a similarity indicator based on (i) the respective facility attributes, (ii) the respective historical time series, and (iii) the similarity evaluation stack configuration; selecting, based on the similarity indicators, one of the candidate facilities; and substituting the historical time series of the selected candidate facility for the historical time series of the target facility in a forecasting mechanism.