Hierarchical Provider Selection for Scheduled Ride Fulfillment
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Solution Overview
Problem
Existing on-demand transport services face challenges in ensuring the fulfillment of scheduled transport requests due to uncertainties in driver availability and dynamic demand conditions, leading to consumer inconvenience and distrust.
Innovation Solution
A network system that enables ride scheduling with backup options, utilizes historical pricing data, and implements a hierarchical selection process to ensure that scheduled rides are fulfilled, offering upfront pricing and incentives to transport providers to enhance availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single transport provider is selected for a scheduled ride, then the selection process is simple and quick, but the reliability of fulfilling the scheduled ride decreases due to driver availability uncertainties
Solution Approach 1:
The patent segments the selection of a transport provider into multiple hierarchical levels. The system first attempts to claim the scheduled ride with an ideal provider matching all criteria. If that fails, it segments the problem into alternative scenarios: on-demand claims, alternative provider claims, and backup options. This segmentation maintains reliability by having multiple fallback layers while managing complexity through structured decision-making.
Solution Approach 2:
The system performs preliminary actions by proactively claiming scheduled rides with ideal providers before the scheduled time arrives. It advances the claim time as close as possible to the scheduled ride time while maintaining provider availability. This preliminary action increases fulfillment reliability by securing providers in advance while managing the complexity through automated timing logic.
2Reliability
If multiple backup options are maintained for scheduled rides, then the reliability of ride fulfillment improves, but the system complexity and computational resources increase
Solution Approach 1:
The patent implements dynamic provider selection where the system continuously monitors provider availability and adjusts claims accordingly. Providers are dynamically selected based on current conditions rather than static pre-assignment. This dynamic approach maintains high reliability by adapting to real-time availability while managing complexity through event-driven architecture that only processes changes when conditions warrant action.
Solution Approach 2:
The system employs self-service mechanisms where providers automatically claim rides based on pre-defined criteria and incentives. The hierarchical claim process allows providers to autonomously evaluate and claim rides at different levels (ideal provider, alternative provider, backup) without constant system intervention. This self-service approach increases reliability through multiple autonomous claim attempts while reducing system complexity by distributing decision-making to providers.
3Reliability
If transport providers are incentivized with higher earnings, then driver availability and service quality improve, but the operational cost for the platform increases
Solution Approach 1:
The patent changes the parameter of provider compensation by offering elevated earnings specifically for scheduled ride claims rather than uniform pricing. Providers receive higher pay for accepting scheduled rides in advance, which improves driver availability and reliability. The system manages costs by selectively applying these elevated rates only when providers accept scheduled claims, rather than increasing overall operational costs across all services.
Solution Approach 2:
The system applies partial action by offering incentives selectively rather than universally. Elevated earnings are provided only to providers who accept scheduled ride claims, not to all providers for all services. This partial incentive approach improves driver availability for scheduled rides specifically while containing cost increases to only the necessary extent, avoiding excessive spending on unnecessary incentives.
Data Source
AI summary
A network computer system can implement a hierarchical selection process to fulfill a scheduled transport request. The hierarchical selection process can include a first selection process and a second selection process. The first selection process can include assigning a first transport provider to fulfill the scheduled transport request. The second selection process can be implemented at a specified time prior to the scheduled time and can include selecting a backup transport provider to service the scheduled transport request.


