Mobile Employee Resource Computation Using Location-Based Domain Rules
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Solution Overview
Problem
Existing ERP and accounting applications fail to accurately and efficiently track mobile employees across domains and apportion resources, including non-cash compensation, based on varying geographical locations and durations, leading to inefficiencies in resource calculation and remittance.
Innovation Solution
A computer system aggregates data on employee geographical locations and durations, maps these to applicable domains, apportions time, and computes resources based on these mappings, incorporating corrections and specific domain rates to ensure accurate resource allocation and remittance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ERP and accounting applications are used to track mobile employees across multiple domains, then basic resource tracking is possible, but the accuracy and timeliness of resource apportionment and calculation fail to meet requirements due to inability to handle varying geographical locations and domain-specific rules
Solution Approach 1:
The system segments the employee tracking functionality into distinct modular components: location data collection module, domain determination module (which applies geographical tests and time-tests), resource calculation module, and reporting module. Each module handles a specific aspect of the tracking process, allowing the system to accurately handle complex multi-domain scenarios while maintaining manageable system complexity through clear separation of concerns.
Solution Approach 2:
The patent introduces an intermediary computing system that acts as a bridge between conventional ERP/accounting applications and the required resource apportionment functionality. This intermediary system collects location data, determines applicable domains using geographical tests and time-tests, calculates resource amounts, and interfaces with existing payroll and accounting systems. This approach enables accurate resource tracking without requiring complete replacement of existing complex systems.
2Productivity
If manual tracking methods are used for mobile employee resources, then system complexity is reduced, but productivity and timeliness of resource calculation and remittance deteriorate
Solution Approach 1:
The system implements self-service capabilities through automated location data collection via mobile devices, automatic domain determination using predefined geographical tests and time-tests, and automated resource calculation based on collected data and domain rules. This automation eliminates manual tracking efforts, significantly improving productivity and timeliness while the modular architecture keeps system complexity manageable.
Solution Approach 2:
The patent establishes preliminary domain determination rules (geographical tests and time-tests) in advance before resource calculation is needed. These rules are pre-configured in the system, allowing for rapid automated determination of applicable domains and subsequent resource apportionment without manual intervention during the actual calculation process, thereby improving productivity while maintaining clear systematic structure.
3Measurement precision
If comprehensive location data collection is implemented for all employees, then resource tracking accuracy improves, but processing and storage requirements increase
Solution Approach 1:
The system applies local quality by collecting and processing location data selectively based on employee mobility patterns and domain-specific requirements. Not all employees require the same level of location tracking granularity - the system adapts data collection intensity to local needs, improving accuracy where required while reducing unnecessary data processing and storage for employees with simpler tracking requirements.
Solution Approach 2:
The patent extracts only the essential location data elements needed for domain determination (geographical coordinates, timestamps, duration of stay) rather than collecting comprehensive employee activity data. This selective extraction of critical location information maintains tracking accuracy while significantly reducing the volume of data that requires processing and storage.
4Adaptability or versatility
If existing applications attempt to handle multi-domain resource apportionment, then versatility is improved, but reliability of resource calculation deteriorates due to failure to correctly apply domain-specific rules
Solution Approach 1:
The system implements dynamic domain determination through geographical tests and time-tests that automatically adapt to each employee's specific location and duration of stay in different domains. The system dynamically adjusts which domains are applicable based on real-time location data and pre-configured domain rules, ensuring reliable resource calculation for each unique scenario while maintaining versatility across multiple domains.
Solution Approach 2:
The patent uses parameter changes in the form of domain-specific calculation parameters (tax rates, resource rates, time thresholds) that are applied based on the determined applicable domains. The system changes these parameters dynamically according to the employee's location and stay duration, ensuring that domain-specific rules are correctly applied for reliable resource calculation while maintaining the ability to handle multiple domains with different parameters.
Data Source
AI summary
A specialized resource computation service engine electronically and automatically provides, in a timely and efficient manner, accurate and reliable tracking of mobile employees across domains and correctly apportions, calculates, and remits selected resources to those domains for employee compensation (including non-cash compensation) earned over a period of time according to the various different rules in various different domains. The system aggregates data indicative of different geographical locations and durations spent in the geographical locations by an employee over a time period, apportions respective amounts of time to each domain based on the aggregated data and computes, for the employee, a respective selected resource for each domain based on the respective amounts of time apportioned to each domain.