Digital Conversation Management Platform Monetizing Consumer Dialogue

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Traditional marketing and advertising methods rely heavily on surveys and interviews to gather consumer preferences and behaviors, which are often time-consuming and inefficient.

Innovation Solution

The Digital Conversation Management Platform (DCM-Platform) transforms digital dialogue from consumers into tradable digital assets, using artificial intelligence to analyze and monetize these conversations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional marketing surveys and interviews are used to gather consumer preferences, then consumer insights can be obtained, but the process is time-consuming and inefficient

Engineering Contradiction:

Improveefficiency of consumer insight gatheringVSAvoidtime required for surveys and interviews

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces traditional mechanical survey and interview processes with an automated AI-based conversation management system. The system uses natural language processing, machine learning models, and automated conversation agents to capture, analyze, and monetize consumer conversations, eliminating the need for manual survey administration and analysis while significantly improving productivity and reducing time loss.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If digital conversations are transformed into tradable digital assets, then valuable consumer insights can be captured and monetized, but the system complexity increases

Engineering Contradiction:

Improvemonetization efficiency of consumer conversationsVSAvoidcomplexity of digital conversation management system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex conversation management system into distinct functional modules: conversation capture agents, natural language processing units, machine learning analysis components, digital asset transformation modules, and trading platforms. This segmentation allows each component to handle specific tasks independently, making the overall complex system more manageable and maintainable while enabling efficient monetization of consumer conversations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary digital asset layer that transforms raw conversation data into standardized, tradable digital assets. This intermediary layer acts as a bridge between the complex conversation capture processes and the simpler trading marketplace, abstracting the complexity away from end users while enabling efficient monetization through standardized asset formats and trading mechanisms.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If artificial intelligence is used to analyze and monetize conversations, then revenue generation improves, but the technological barrier and implementation difficulty increase

Engineering Contradiction:

Improverevenue generation from consumer conversationsVSAvoidease of implementing AI-based conversation management

Core Design Contradiction:

ProductivityVSEase of manufacture

Solution Approach 1:

The patent creates a universal AI-based conversation management platform that can be implemented across various industries and business models. The system provides multi-functional capabilities including conversation capture, natural language processing, machine learning analysis, digital asset transformation, and trading functions, allowing organizations to generate revenue from consumer conversations without requiring custom-built solutions for each specific use case, thereby improving ease of implementation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses copying and replication of conversation patterns and insights through digital assets. Instead of requiring complex real-time AI analysis for every conversation, the system creates standardized digital asset copies of conversation patterns and insights that can be traded and reused, simplifying implementation while maintaining revenue generation capabilities through the replication and distribution of valuable conversational data.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12307383B2Apparatuses, methods and systems for a digital conversation management platform

Publication Date: 2025.05.20 NEWVALUEXCHANGE LTD

AI summary

The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform May capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals.