Auto-Pause Recurring Payments via Merchant Closure Detection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing systems lack an efficient method for dynamically verifying and managing recurring payment transactions, particularly in the context of merchant loyalty programs, which require real-time location-based validation and user engagement.

Innovation Solution

A method that utilizes GPS data from mobile devices to determine a user's location and trigger automated verification of their loyalty status with merchants. This involves API calls to merchant databases, notification generation for registration, and the creation of digital loyalty accounts upon user confirmation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual loyalty enrollment processes are used, then system complexity is reduced, but productivity and user engagement are decreased

Engineering Contradiction:
Improveloyalty enrollment efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system automatically detects user presence at merchant locations using GPS data, verifies loyalty status through API calls to merchant databases, and enrolls users in loyalty programs without manual intervention. The mobile device autonomously performs location monitoring, verification requests, and enrollment confirmation, eliminating the need for manual enrollment processes while maintaining system simplicity through automated workflows.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary verification of user loyalty status by sending API calls to merchant databases before completing the enrollment process. This preliminary action allows the system to check existing loyalty accounts and prepare enrollment data in advance, streamlining the overall enrollment process and improving efficiency without adding significant complexity.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If real-time location monitoring is implemented, then measurement precision of user location is improved, but use of energy by mobile device increases

Engineering Contradiction:
Improveuser location accuracyVSAvoidmobile device energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system monitors GPS location data at periodic intervals rather than continuously, checking user location at specific moments during the enrollment process. This periodic monitoring approach maintains sufficient location accuracy for determining whether the user is at the merchant location while significantly reducing energy consumption compared to continuous GPS tracking.

Inventive Principle:
Principle #19Periodic action

3Productivity

If automated verification processes are used, then productivity of loyalty management is improved, but device complexity increases

Engineering Contradiction:
Improveloyalty verification speedVSAvoidverification system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system uses API calls as an intermediary mechanism to communicate with merchant databases for loyalty verification. This standardized interface layer simplifies the complexity by providing a uniform method for data exchange between the mobile device and various merchant systems, allowing automated verification to proceed efficiently without requiring the device to handle complex database protocols directly.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12299684B2Systems and methods for digitally issued loyalty enrollment
Publication Date: 2025.05.13 CAPITAL ONE SERVICES LLC
  • US12299684B2 patent drawing
  • US12299684B2 patent drawing
  • US12299684B2 patent drawing

AI summary

Systems and methods for implementing an auto-pause functionality for recurring payment transactions that continue to be charged, despite being associated with an unavailable merchant service as mandated by a public closure restriction. One operational aspect of the disclosed system/method is active detection of a possible closure condition based on monitoring a ratio of on-line (Card Not Present) to in-person (Card Present) transactions, internally computed over several time windows. The outcome of the ratio test falling below a predefined value is indicative of a possible public closure condition. There is an external verification step based on externally provided information associated with a published closure notification. Disclosed process further involves an indexing operation for parsing and tracking of recurring transaction string data to facilitate the identification of invalid recurring transaction strings, once a public closure condition is verified.