Payroll Module Analysis for Geolocation Attendance and Tip Tracking

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Companies in the gig economy face challenges with 1099-independent contractors regarding attendance, performance, and liability due to misclassification, and entry-level workers lack familiarity with digital systems, leading to poor attendance and payment delays, which affect productivity and compliance.

Innovation Solution

A computer system for payroll management that correlates employees to scheduled positions, tracks geolocation, and determines payroll statuses, including a payroll module interface for administrators to manage and analyze payroll data, import tips, and map tips to the appropriate pay week.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If companies hire 1099-independent contractors to reduce liability and costs, then operational flexibility and cost efficiency improve, but attendance reliability and performance consistency deteriorate

Engineering Contradiction:
Improveoperational flexibilityVSAvoidattendance reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system dynamically changes the employment classification parameter from 1099-contractor to W2-employee based on detected attendance violations and performance metrics. When workers exceed acceptable absence thresholds or fail to meet performance standards, the system automatically reclassifies their employment status, transforming the relationship from independent contractor to employee to enforce compliance with attendance and performance requirements.

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If entry-level workers are provided with traditional academic training methods, then company policy understanding improves, but worker engagement and comprehension deteriorate

Engineering Contradiction:
Improvepolicy understandingVSAvoidworker engagement
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The system replaces traditional academic lecture-based training with an interactive digital platform that uses gamification, multimedia content, and adaptive learning algorithms. Workers engage with policy information through interactive modules, quizzes, and scenario-based learning experiences delivered via mobile devices, transforming passive information delivery into active engagement while ensuring comprehensive policy understanding.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If workers wait for next paycheck to access wages, then company cash flow management improves, but worker financial stability and attendance improve

Engineering Contradiction:
Improvecash flow managementVSAvoidattendance consistency
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system implements preliminary wage access mechanisms that allow workers to access portions of their earned wages before the scheduled paycheck date. Through features such as advance wage withdrawals, payroll advances, or on-demand payment options, workers can obtain funds when needed without waiting for the next paycheck, thereby maintaining financial stability and reducing attendance issues related to financial hardship while preserving company cash flow management.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250238875A1Systems, methods, and apparatuses for payroll module analysis
Publication Date: 2025.07.24 OLME US LLC
  • US20250238875A1 patent drawing
  • US20250238875A1 patent drawing
  • US20250238875A1 patent drawing

AI summary

Provided may be a computer system for payroll management wherein the stored program instructions cause the processor to correlate each of a plurality of employees to one of a plurality of scheduled positions and a payroll type; determine a scheduled start time, a scheduled end time, a scheduled location-in location, and a scheduled location-out location based on a work schedule for each of the employees; receive, via an employee device, a first scan time and a clock-in time; determine an actual clock-in location based on a clock-in geolocation generated by the employee device upon the generation of the clock-in input; receive, via the employee device, a last scan time and a clock-out time; determine an actual clock-out location based on a clock-out geolocation generated by the employee device upon the generation of the clock-out input; and determine a location-in distance and determine a location-out distance.