Cross-Platform Rating System With Dynamic Pricing
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Solution Overview
Problem
Conventional rating systems for lodging establishments, merchants, and service providers lack scalability and fail to utilize customer experience data effectively, leading to inefficiencies in monitoring and recording customer interactions, and do not provide meaningful incentives or rewards based on these experiences.
Innovation Solution
A cross-platform rating system that generates user ratings based on data from various sources, including user input and programmatically analyzed data, to provide accurate and secure ratings associated with payment mechanisms, allowing for modified transaction terms such as reduced prices or rewards based on overall ratings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry processes are used to capture customer experience data, then data accuracy can be maintained, but the system cannot scale across different providers and labor costs increase
Solution Approach 1:
The system automatically collects and processes customer experience data through integration with existing provider systems (POS, reservation systems, payment processors). The rating system self-updates user profiles and calculates ratings without manual intervention, enabling automatic scaling across multiple providers while maintaining data accuracy through automated verification processes.
Solution Approach 2:
Manual data entry and processing mechanisms are replaced with automated electronic systems. The patent implements automated data collection from multiple sources (transaction records, feedback forms, behavior tracking), automated rating calculations, and programmatic integration with various provider systems, eliminating the need for manual operations while reducing system complexity through standardization.
2Adaptability or versatility
If conventional rating systems are used, then basic ratings can be generated, but they do not provide meaningful incentives or rewards and cannot modify transaction terms
Solution Approach 1:
The rating system dynamically adjusts transaction terms based on calculated ratings and user profiles. The system automatically determines and applies incentives, discounts, or modified terms according to rating thresholds and user history, enabling flexible adaptation without requiring complex manual configuration for each scenario.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where transaction outcomes and user behaviors are continuously monitored, fed back into the rating calculation, and used to adjust future transaction terms. This feedback loop enables the system to learn from actual usage patterns and automatically optimize transaction conditions without increasing operational complexity.
3Measurement precision
If data from multiple sources is aggregated to improve rating accuracy, then more comprehensive user profiles are created, but data processing complexity and computational requirements increase
Solution Approach 1:
The system applies different data collection and processing strategies to different data sources based on their reliability and relevance. Critical data sources (e.g., payment verification, core transaction data) receive enhanced processing and validation, while less critical sources use lighter processing methods. This localized quality approach maintains high rating accuracy for essential metrics while reducing overall computational resource consumption.
Data Source
AI summary
A rating may be received for a user based on a stay at a lodging establishment, the rating comprising a positive attribute and a negative attribute. The rating may be based on data entered by a user of the lodging establishment and programmatically generated data. An overall rating may be generated based on the rating and a plurality of prior ratings for the user. A request to reserve a second stay at the lodging establishment may be received. A price for the second stay at the lodging establishment may be received. A reduced price for the second stay may be determined based on the overall rating for the user being above a threshold rating. An indication of the reduced price may be outputted for display. A dwelling unit in the lodging establishment for the second stay may be reserved at the reduced price.