Centralized Tip Recommendation System for Mobile Payment Merchants
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Solution Overview
Problem
Existing systems for providing tip recommendations are complex, rigid, costly, and inefficient, lacking customization and integration with financial service providers, leading to suboptimal tipping amounts and revenue losses for merchants.
Innovation Solution
A novel system that provides intelligent, customizable electronic tip recommendations on mobile devices, integrated with financial service providers, using processors to determine if tips are customary for a merchant and calculating recommendations based on transaction details, allowing real-time updates and integration with various merchants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standalone devices or software are used to provide tip recommendations, then tip recommendations can be provided to customers, but the system becomes complex, costly, and difficult to update and maintain
Solution Approach 1:
The patent introduces a financial service provider system as an intermediary that hosts the tip recommendation software and database centrally. This mediator handles all tip recommendation logic, merchant category code storage, and customization rules, eliminating the need for each merchant to maintain complex standalone tip recommendation systems while still providing comprehensive tip recommendation functionality.
Solution Approach 2:
The patent extracts the complex tip recommendation software and merchant category code database from individual merchant systems and relocates them to a centralized financial service provider system. This extraction removes the complexity burden from merchant devices while preserving the tip recommendation functionality through centralized management and remote updates.
2Device complexity
If closed systems are used that allow customers to use the system only at a particular merchant, then the system can be simpler, but it lacks integration with financial service providers and cannot customize tip recommendations to particular users
Solution Approach 1:
The patent creates a universal tip recommendation system hosted by the financial service provider that serves multiple merchants and multiple customers through a single integrated platform. The system handles various merchant categories, supports different customization rules, and adapts to different user preferences and historical data, providing multi-functional capability while maintaining system simplicity through centralized architecture.
Solution Approach 2:
The patent implements preliminary action by pre-storing merchant category codes and tip recommendation rules in the financial service provider system before transactions occur. The system proactively determines appropriate tip recommendations based on pre-configured merchant categories and user profiles, enabling customization without adding complexity during the actual transaction process.
3Device complexity
If existing systems provide simple tip recommendations with preset percentages, then the systems are simpler to implement, but they do not provide intelligent customization and lead to suboptimal tipping amounts
Solution Approach 1:
The patent dynamically changes tip recommendation parameters based on multiple factors including merchant category codes, user historical data, transaction amounts, and user preferences. Instead of fixed preset percentages, the system adjusts tip recommendation parameters in real-time to provide accurate, customized recommendations while maintaining reasonable system simplicity through automated parameter management.
Solution Approach 2:
The patent implements feedback mechanisms by analyzing user responses to tip recommendations, transaction outcomes, and user profile data. The system uses this feedback to continuously refine and personalize tip recommendations for each user, improving accuracy over time while the underlying system structure remains simple and centralized for easy maintenance.
Data Source
AI summary
The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the processor may be configured to calculate a merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.