System and method for data connector for external labor management systems
Inventors
Khan, Kalimulla • Jayathirtha, Srihari • LINDSEY, Wade • Wiquar, Afzal Hussaini • Kolla, Venkata Pradeep • Pillutla, Krishna
Assignees
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Publication Number
US-12725109-B2
Publication Date
2026-09-01
Expiration Date
Abstract
Disclosed are methods and systems for converting data from an external system to data to be used by an internal system. For instance, a method may include receiving at least one user selection from a list of domains for executing at least one task, determining one or more data requirements corresponding to the at least one user selection, in response to determining the one or more data requirements, retrieving data from one or more external systems, converting the retrieved data based on the one or more data requirements, the converting including extracting data from the retrieved data based on the one or more data requirements, validating the extracted data, the validating including determining that the extracted data meets or exceeds a primary data requirement threshold, and outputting the validated extracted data to a data model for use by an internal system to execute the at least one task.
Core Innovation
The invention converts data from external systems into data for use by internal workplace systems to execute tasks. The method receives a user selection from a list of domains, determines corresponding data requirements, and retrieves and extracts data, including user performance data. It validates the extracted data against the requirements, retrieves additional data if the extracted data is insufficient, and outputs the validated combined data to a data model.
The system detects an idle worker in real time based on task progress data, which includes visual recognition event data associated with task progress. Based on task requirements and worker availability, the system reassigns a different task to the worker. Disclosed implementations provide worker-task monitoring, workflow assignment, and integration across enterprise systems, warehouse environments, and worker devices.
Claims Coverage
The relevant claims include three independent claims covering a computer-implemented method, a computer system, and a non-transitory computer-readable medium across four inventive features.
External-data conversion and validation
The claims recite receiving a user selection from a list of domains, determining corresponding data requirements, and retrieving and extracting external data including user performance data. The extracted data is validated against the requirements, additional data is retrieved when the initial data is insufficient, and validated combined data is output to a data model for an internal system.
Real-time idle-worker detection and task reassignment
The claims recite detecting an idle worker in real time based on task progress data comprising visual recognition event data associated with task progress, and reassigning a different task based on task requirements and worker availability.
Computer system for data conversion and task reassignment
The system comprises a memory storing instructions and one or more processors configured to execute external data retrieval, extraction, validation, supplemental retrieval when initial data is insufficient, output to a data model, real-time idle worker detection from visual recognition event data, and task reassignment.
Computer-readable medium for data conversion and task reassignment
The non-transitory computer-readable medium stores instructions for determining domain-based data requirements, extracting external data including user performance data, retrieving additional data when the initial extracted data is insufficient, outputting validated data to a data model, detecting idle workers in real time, and reassigning tasks.
The three independent claims cover method, system, and computer-readable medium forms for converting and validating external data, retrieving additional data when initial amounts are insufficient, and utilizing task progress data with visual recognition events to detect idle workers and reassign tasks.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Using validated data from external systems in a data model for an internal system to execute a selected task.
Integration of external labor-management and worker-performance data with internal workplace systems, including connected warehouse systems and worker devices.
Real-time warehouse monitoring related to worker productivity, safety, and task allocation.
Detecting idle workers from task progress data, including visual recognition event data, and reassigning tasks based on worker availability and task requirements.
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