Service Allocation System Using Biometric State Matching
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Solution Overview
Problem
Current service provider assignment systems lack the ability to dynamically match service providers with optimal states to handle service requests effectively, leading to suboptimal user experiences and provider productivity due to insufficient consideration of real-time biometric and sensor data.
Innovation Solution
An AI/ML-based system, APSS, monitors and analyzes biometric and sensor data from service providers and requestors to determine their respective states, correlating these to select the most suitable provider for each request, ensuring optimal state matching and enhancing user experience and provider performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional service provider assignment systems are used, then system simplicity is maintained, but service quality and user experience deteriorate due to lack of dynamic matching
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and analyzing biometric and sensor data from service providers before service requests occur. This allows the system to pre-determine provider states and readiness levels, enabling rapid and optimized assignment when requests come in, thereby improving service quality without adding complex real-time decision-making infrastructure.
Solution Approach 2:
The patent introduces an intermediary AI/ML-based system that acts as a mediator between service providers and service requests. This intermediary analyzes biometric data, determines provider states, and correlates these with request requirements to make optimal assignments. The intermediary handles the complexity of real-time analysis, keeping the overall system architecture manageable while significantly improving matching quality.
2Reliability
If real-time biometric monitoring is implemented, then provider state matching is improved, but energy consumption increases
Solution Approach 1:
The system applies partial monitoring by selectively analyzing biometric and sensor data based on provider roles, service types, and current operational contexts. Rather than continuously monitoring all providers at full intensity, the system adjusts the level of monitoring to match actual needs, maintaining accurate state matching while reducing unnecessary energy consumption from constant full-scale data collection and processing.
3Productivity
If comprehensive biometric data collection is performed, then assignment optimization is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary processing of biometric and sensor data, establishing baseline provider states and patterns before service requests occur. By pre-analyzing and storing processed provider information, the system reduces the computational burden during actual assignment moments, enabling rapid matching decisions even with comprehensive data collection, thus improving assignment efficiency without excessive processing delays.
4Productivity
If AI/ML-based analysis is implemented, then service provider performance is enhanced, but device complexity increases
Solution Approach 1:
The AI/ML system operates autonomously to analyze biometric data, determine provider states, and make assignment decisions without requiring complex human intervention or manual configuration. The system self-adjusts and learns from patterns in the data, enhancing provider performance through intelligent analysis while keeping operational complexity manageable by automating the analytical functions rather than requiring complex human-managed systems.
Data Source
AI summary
A system described herein may provide a technique for identifying states associated with service providers based on biometric, sensor, and/or other information associated with a set of service providers. A request for service may be received, and a particular service provider may be selected based on a particular state associated with the particular service provider, as determined based on the biometric, sensor, and/or other information associated with the particular service provider. State information associated with a requestor of the service may be identified and used as a factor in selecting the particular service provider to respond to the service request.