Push Notification Failure Detection for App Channel Recovery

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Solution Overview

Problem

Businesses struggle to maintain digital communication channels with customers due to technological changes, leading to uncertain delivery of important notifications and lack of understanding if communications reach the intended recipients.

Innovation Solution

A system and method that uses a predictive model to detect failed primary communication channels and reestablish communication through alternative channels by delivering push notifications, applying a machine learning algorithm to analyze user interaction data, and employing secondary communication methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If businesses send notifications through digital communication channels, then customers receive timely information, but the delivery reliability is uncertain due to technological changes

Engineering Contradiction:

Improvecommunication delivery reliabilityVSAvoidadaptability to technological changes

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by sending test communications through the primary digital channel before critical communications are sent. The predictive model analyzes responses to these test communications in advance to determine whether the channel is functional, preventing failed deliveries of important notifications

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary predictive model that acts as a mediator between the communication system and the customer. This model analyzes push notification status data and determines channel functionality without directly affecting the customer, enabling reliable routing decisions

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If businesses monitor communication channel status, then delivery reliability improves, but system resource consumption increases

Engineering Contradiction:

Improvecommunication channel monitoring reliabilityVSAvoidbackend system resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system applies partial monitoring by sending test communications at strategically selected moments rather than continuously monitoring. The predictive model processes only necessary push notification status data to determine channel functionality, avoiding excessive resource consumption while maintaining adequate monitoring coverage

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system enables self-service by having the predictive model automatically analyze push notification status data and determine channel functionality without requiring intensive backend processing. The model uses readily available data from the communication infrastructure itself to make determinations

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250385954A1Systems and methods to determine the loss of ability to notify customer through mobile app and prompt re-download

Publication Date: 2025.12.18 CAPITAL ONE SERVICES LLC

AI summary

Systems and methods for detecting and repairing loss of a primary digital communication channel may include a server and a user device. The server may be configured to send a push notification to an application of the user device over a network, receive, in response to the sending of the push notification, push notification status data, apply a predictive model to determine whether the primary digital communication channel has failed based on the push notification and the push notification status data; and transmit, upon a determination that the primary digital communication channel has failed, a communication to the user over one or more alternative digital communication channels.