Automated Content Engine for Brand Perception Management

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Solution Overview

Problem

Entities face challenges in efficiently and cost-effectively monitoring and responding to online content related to their brand across multiple platforms, as manual methods are time-consuming and expensive, and prone to errors.

Innovation Solution

An external content engine automatically monitors content items on various data sources, uses natural language processing to determine context, and selects appropriate actions such as offering rewards or incentives based on the context and user influence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual monitoring and response methods are used by employees or contractors, then the entity can maintain positive customer perception, but the process becomes very time consuming and expensive

Engineering Contradiction:
Improveperception management effectivenessVSAvoidtime required for monitoring and responding
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables automated self-service through AI-powered monitoring and response generation. The perception management system automatically detects content, analyzes sentiment, generates appropriate responses, and publishes them without human intervention, allowing the entity to manage its own reputation autonomously

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical human-based monitoring and response system with an automated computational system. Machine learning models and natural language processing algorithms substitute for human employees and contractors, eliminating manual labor while maintaining or improving response quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual monitoring and response methods are used by employees or contractors, then the entity can maintain positive customer perception, but the process becomes very expensive

Engineering Contradiction:
Improveperception management effectivenessVSAvoidcost of perception management
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system enables automated self-service through AI-powered monitoring and response generation. The perception management system automatically detects content, analyzes sentiment, generates appropriate responses, and publishes them without human intervention, allowing the entity to manage its own reputation autonomously

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical human-based monitoring and response system with an automated computational system. Machine learning models and natural language processing algorithms substitute for human employees and contractors, eliminating manual labor while maintaining or improving response quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If manual monitoring and response methods are used, then the entity can respond to online content, but the process may be error prone

Engineering Contradiction:
Improveresponse capabilityVSAvoidresponse accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system implements feedback loops where responses are continuously evaluated based on their impact on perception metrics. The AI model learns from the outcomes of previous responses, adjusting its strategy to improve accuracy and effectiveness over time through data-driven optimization

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent replaces the mechanical human-based monitoring and response system with an automated computational system. Machine learning models and natural language processing algorithms substitute for human employees and contractors, eliminating manual labor while maintaining or improving response quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If automated monitoring is implemented, then time and resources are reduced, but the system complexity increases

Engineering Contradiction:
Improveefficiency of perception managementVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system achieves universality by implementing a multi-functional AI platform that can monitor multiple data sources, analyze various types of content, detect different sentiment types, generate appropriate responses, and publish across multiple channels using a single integrated system

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an intermediary layer of natural language processing and sentiment analysis that bridges the gap between raw data from multiple sources and the automated response generation, simplifying the overall system architecture through a unified processing interface

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11468462B2Automated corporate perception management
Publication Date: 2022.10.11 VERINT AMERICAS INC
  • US11468462B2 patent drawing
  • US11468462B2 patent drawing
  • US11468462B2 patent drawing

AI summary

An external content engine automatically monitors content items generated by external data sources such as online merchants, social networking platforms, and discussion forums for an entity. The monitored content items may include public messages such as posts, reviews, and comments. When a content item is identified that references or relates to the entity, natural language processing is used to determine if the content item has a positive or negative context. The external content engine may then determine an action to take based on the context and other factors such as a popularity or influence of the author of the content item.