Dynamic Rideshare Credit Allocation via Ad Verification
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Solution Overview
Problem
Traditional membership and rewards programs are unsuitable for ridesharing models due to the wide variability of service options and user motivations, necessitating a new type of rewards system that addresses these differences.
Innovation Solution
A system and method that provides credits to users for ridesharing by detecting their trip requests, associating advertisement messages with their locations, confirming viewing of these messages during an eligibility period, and calculating a rideshare credit amount based on confirmed views, which can be used to adjust the trip charge or stored for future use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional membership and rewards programs are applied to ridesharing models, then user engagement may be maintained, but the programs become unsuitable due to wide variability of service options and user motivations
Solution Approach 1:
The rewards system dynamically adapts to different ridesharing contexts by adjusting credit allocation based on real-time parameters such as trip duration, distance, and user behavior patterns. The system transitions from static membership programs to dynamic credit generation that responds to varying service conditions and user motivations, making the rewards program suitable for diverse ridesharing models.
2Productivity
If credits are provided for advertisement viewing during rideshare trips, then user incentive and engagement improve, but system complexity increases due to tracking and verification requirements
Solution Approach 1:
The system employs self-service mechanisms where user devices automatically track advertisement viewing through integrated sensors and software. The device itself performs verification of ad exposure by detecting screen activity, time stamps, and geographic location, eliminating the need for complex external verification infrastructure. This reduces system complexity while maintaining accurate tracking for credit allocation.
3Ease of operation
If eligibility period includes trip duration plus additional time periods, then user flexibility improves, but measurement and verification difficulty increases
Solution Approach 1:
The system pre-defines eligibility period parameters including trip duration, buffer periods before and after trips, and maximum credit accumulation limits. By establishing these boundaries in advance, the system simplifies the measurement and verification process while still providing users with flexible eligibility windows. The preliminary configuration of time parameters reduces the complexity of real-time verification during actual trips.
Data Source
AI summary
The present invention relates to a method of providing credits for ridesharing to a user, comprising: detecting a request by the user for a ridesharing trip provided by a rideshare provider; associating, with the request, a user location, a pickup location and a destination location; allocating one or more advertisement messages based on at least one of the user location, the pickup location and the destination location; providing the one or more advertisement messages to the user for viewing on a user device during an eligibility period; confirming viewing of at least one of the one or more advertisement messages during the eligibility period; calculating a rideshare credit amount based on the confirmed viewing; and providing the rideshare credit amount to the user, wherein the eligibility period includes the duration of the rideshare trip. The rideshare credit amount is preferably a travel distance measurement (e.g. kilometers) which is then deducted from the rideshare trip distance to determine an adjusted final monetary amount owed by the user for the rideshare trip.