Communication Sequence Optimization via User Clustering

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Solution Overview

Problem

The complexity of modern communication systems, with various devices and channels, makes it challenging to determine the most effective communication channels for efficiently reaching different users, as existing methods often rely on one-size-fits-all approaches that fail to account for individual user preferences and behaviors.

Innovation Solution

The system analyzes historical communication data to identify user clusters based on communication patterns, demographics, and preferences, constructing a decomposition model that provides insights into communication impact over time. It then calculates metrics such as half-life, communication weights, and success intervals to recommend optimized communication sequences, which can be further tuned for individual users through hyper-personalization and real-time adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a one-size-fits-all communication approach is used across multiple channels, then device complexity and network capabilities are expanded, but communication efficiency and user engagement deteriorate due to inability to account for individual user preferences

Engineering Contradiction:

Improvecommunication channel adaptabilityVSAvoidcommunication efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent segments users into distinct clusters based on their communication preferences, behaviors, and demographics. By dividing the user base into segments with similar characteristics, the system can apply tailored communication strategies to each segment rather than using a uniform approach, thereby improving communication efficiency while maintaining channel versatility

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system dynamically adapts communication sequences based on real-time user responses and historical data. Communication strategies are not static but evolve and adjust according to individual user interactions, allowing the system to optimize engagement while accounting for the complexity of multiple communication channels

Inventive Principle:

Principle #15Dynamics

2Productivity

If communication sequences are optimized for each individual user, then user engagement and desired outcomes improve, but system complexity and computational requirements increase

Engineering Contradiction:

Improveuser engagementVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

Instead of creating completely individualized communication sequences for each user, the patent groups users into clusters with similar characteristics. This segmentation approach reduces system complexity by allowing the system to manage a finite number of cluster-based sequences rather than infinite individual sequences, while still providing personalized engagement strategies

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary analysis of user data to pre-segment users into clusters and pre-determine communication sequences for each cluster. This preliminary action reduces real-time computational complexity by having communication strategies ready in advance based on cluster characteristics, rather than calculating optimal sequences from scratch for each individual user interaction

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If historical communication data is analyzed to create detailed user models, then communication targeting precision improves, but data processing time and computational resources increase

Engineering Contradiction:

Improveuser profiling precisionVSAvoiddata processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent analyzes historical communication data at the cluster level rather than requiring deep individual user profiling. By segmenting users into groups with shared characteristics, the system achieves sufficient precision for effective communication targeting without the computational burden of analyzing every detail of each individual user's history, thus reducing data processing time while maintaining adequate precision

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12259943B2Systems and methods for optimizing and harmonizing sequences of communications over different mediums

Publication Date: 2025.03.25 ACCENTURE GLOBAL SOLUTIONS LTD

AI summary

Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support optimization of communications transmitted over a plurality of communication mediums. Historical communications data may be analyzed to identify clusters of users and a model may be constructed based on the clusters. Candidate sequences of communications over a period of time (e.g., sequences of communication successfully triggering events) are identified using metrics (e.g., probabilities, attribution penalties, etc.) derived from the model or other information. The candidate sequences of communications may be determined at a group or cluster level and then tuned or optimized (e.g., using transition sequences, harmonization, entity priors, etc.) for individual users to produce optimized sequences of communications. The optimized sequences of communications may then be transmitted to individual users according to each user's optimized sequence of communications. A feedback loop may be utilized to update the model or optimizations of future sequences of communications.