Dynamic Service Location Repositioning for On-Demand Networks
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Solution Overview
Problem
Current network systems lack the ability to dynamically and efficiently change service locations for on-demand services, such as transportation, without causing undue hardship or cost to service providers, while ensuring that service requests are fulfilled with optimal parameters like cost and time.
Innovation Solution
A network computer system that allows service requesters and providers to change service locations based on predetermined permissibility criteria, using location data and sensor information to determine suitable alternative locations, which can be automatically implemented even when the service provider is en route, ensuring that the change does not negatively impact service parameters like cost and time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If service location is changed dynamically, then service flexibility is improved, but service provider hardship increases
Solution Approach 1:
The system changes service location parameters dynamically based on real-time conditions. The network computer system receives location data from service providers and determines alternative service locations by modifying the original location parameters, allowing flexible adaptation while maintaining service feasibility within acceptable parameter ranges.
Solution Approach 2:
The system implements feedback mechanisms by receiving location data from service providers about their current positions and conditions. This feedback loop enables the network computer system to adjust service locations dynamically, considering provider hardship factors while maintaining service flexibility through continuous monitoring and adjustment.
2Productivity
If service location is changed frequently, then service optimization is improved, but system complexity increases
Solution Approach 1:
The network computer system determines alternative service locations in advance before service providers arrive at the original location. By pre-calculating alternative locations based on received location data and permissibility criteria, the system enables frequent optimization without requiring complex real-time decision-making during service execution.
3Productivity
If alternative service location is determined automatically, then service efficiency is improved, but measurement precision requirements increase
Solution Approach 1:
The system uses readily available location data from service providers without requiring highly precise measurement systems. By accepting location data at moderate precision levels and processing it through automated determination algorithms, the system achieves efficient alternative location selection without demanding high measurement precision infrastructure.
Data Source
AI summary
A network computer service can receive a service request associated with a first service location. Additionally, the network computer service can detect a user action to associate the service request with a second service location. In some examples, the user input can be detected on a user device. In other examples, the second service location can be different from the first service location. Moreover, the network computer service can determine the second service location satisfies a predetermined permissibility criterion for permitting change of the first service location to the second service location. In response to determining the second service location satisfies the predetermined permissibility criterion, the network computer service can transmit an instruction to cause a device to associate the service request with the second service location in place of the first service location.