Recurring Value Lock UI for Fixed Transportation Request Pricing
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Solution Overview
Problem
Conventional transportation systems face inefficiencies and inflexibilities in generating transportation matches due to variable values, excessive user interface interactions, and inaccurate data utilization, leading to high computing resource usage and network inefficiencies.
Innovation Solution
A recurring value lock generation system that sets a fixed value for transportation requests based on location and time window, providing a graphical user interface to manage and apply this value, reducing the need for serial submissions and improving efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional transportation systems utilize variable values for transportation services based on real-time availability, then the system can adapt to current conditions, but computing devices will close out and re-initiate applications to query for different values, leading to excessive bandwidth utilization and increased latency
Solution Approach 1:
The system performs preliminary actions by generating transportation matches and locking in values in advance based on forecasted information and availability predictions. This allows the system to prepare matches before actual requests occur, reducing the need for repeated real-time queries and lowering latency while maintaining adaptability through forecast-based adjustments.
2Adaptability or versatility
If conventional transportation systems process cancellation requests and reassign requests across multiple provider devices, then the system can manage dynamic availability, but significant computer resources including memory and processing power are consumed
Solution Approach 1:
The system generates and locks in transportation matches in advance based on forecasted availability, so that when requests occur, pre-prepared matches are ready for immediate assignment. This eliminates the need for repeated processing of cancellations and reassignments, significantly reducing computing resource consumption while maintaining dynamic management capabilities.
Solution Approach 2:
The system creates copies of transportation match data and locks them in advance, allowing multiple devices to access the same locked-in values without requiring repeated processing. This copying approach reduces the computational burden of managing dynamic availability across multiple provider devices.
3Productivity
If conventional transportation systems identify computing devices available for transportation services based on available and forecasted information, then matches can be generated, but the information is often inaccurate and unavailable, leading to inefficient matches and additional queries
Solution Approach 1:
The system performs preliminary actions by generating transportation matches in advance based on forecasted information, locking these values before actual requests occur. This advance generation allows the system to work with forecasted data while reducing the impact of inaccuracies, as locked-in values prevent the need for repeated queries when actual availability data becomes available.
Solution Approach 2:
The system incorporates feedback mechanisms that allow it to learn from the accuracy of forecasted information versus actual availability. By monitoring the performance of forecast-based matches and adjusting forecasting models accordingly, the system improves measurement precision over time while maintaining productive match generation capabilities.
4Ease of operation
If users submit new transportation requests for each ride by navigating through multiple graphical user interfaces, then transportation services can be requested, but excessive user interface interactions are required even for routine commuting
Solution Approach 1:
The system implements self-service by automatically generating and locking in transportation matches based on user profiles, historical data, and forecasted availability. Users simply need to indicate their general transportation needs, and the system automatically handles match generation, value locking, and provider assignment, eliminating the need for users to navigate through multiple graphical user interfaces for routine requests.
Solution Approach 2:
The system performs preliminary actions by pre-generating transportation matches and locking in values before users need to make requests. This advance preparation allows users to simply select from pre-configured options or have matches automatically assigned, dramatically reducing the time and interactions required compared to traditional multi-step request processes.
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a fixed value for a recurring value lock and providing elements to apply the recurring value lock within a graphical user interface on a computing device. In particular, in one or more embodiments, the disclosed systems generate the fixed value based on a location information and a recurring window, then provide the fixed value, a time duration for which the recurring value lock is valid, and an upfront value for the recurring value lock on the computing device. In addition, the disclosed systems provide elements to apply a recurring value lock to a request for a transportation service. Moreover, in one or more embodiments, the disclosed systems provide graphical user interfaces for generating and managing recurring value locks.