Customer Loyalty Scoring via Neural Network Correlation
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Solution Overview
Problem
Companies face challenges in automating a reliable and predictable system to monitor and assess customer satisfaction and loyalty, which is crucial for maintaining a mutually beneficial business relationship, as existing methods lack efficiency and consistency.
Innovation Solution
A computer-based method and program product that collects data through customer responses, analyzes it to determine correlations, and derives scores for customer satisfaction and loyalty, utilizing modules for data collection, analysis, and presentation, incorporating Neural Networks and regression analyses to identify drivers of customer experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated monitoring systems are implemented to assess customer satisfaction and loyalty, then reliability and repeatability improve, but device complexity increases
Solution Approach 1:
The patent segments the customer experience assessment into multiple distinct modules: data collection module, data analysis module, correlation analysis module, and presentation module. Each module handles a specific aspect of the assessment process, improving reliability through specialized processing while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary computer-based system that acts as a mediator between raw customer response data and actionable insights. This intermediary system processes, analyzes, and correlates data through structured methodologies, ensuring reliable and repeatable assessments without requiring direct complex interactions between stakeholders and raw data.
2Measurement precision
If comprehensive data collection methods are used to assess customer experience, then measurement precision improves, but loss of time increases
Solution Approach 1:
The patent implements preliminary action by pre-structuring data collection instruments and analysis frameworks before actual data gathering. The system is configured with predetermined analysis models, correlation methodologies, and scoring mechanisms that are ready to process incoming data immediately, reducing the time required for analysis while maintaining comprehensive measurement precision.
Solution Approach 2:
The patent replaces manual mechanical data processing methods with computer-based automated systems. The computer-based method performs data collection, analysis, and correlation operations automatically, significantly reducing the time required for comprehensive customer experience assessment while maintaining or improving measurement precision through consistent algorithmic processing.
3Productivity
If detailed correlation analysis is performed on customer responses, then productivity in deriving insights improves, but device complexity increases
Solution Approach 1:
The patent segments the complex correlation analysis into distinct analytical components: data collection, data analysis, correlation determination, and score derivation. Each segment handles a specific analytical task, improving productivity through specialized processing while managing overall system complexity through modular organization of analysis functions.
Data Source
AI summary
A computer-based method and computer program product for determining customer satisfaction and loyalty.