Expert System for Customized Solution Recommendation
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Solution Overview
Problem
Companies with vast portfolios of offerings face challenges in efficiently recommending customized solutions to customers due to complexity, often requiring significant resources and human intervention, which can be cost-ineffective for small and medium-sized customers.
Innovation Solution
An expert system is employed to recommend customized solutions by selecting relevant scenarios based on user input, applying a detailed rule base to generate and refine solutions iteratively, involving scenario selection and solution refinement processes, with the ability to interact with users and subject matter experts to ensure accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a company provides a searchable catalog or straightforward tool for customers to explore offerings, then ease of operation is improved, but manufacturing precision deteriorates because the tool cannot adequately assess which offerings provide solutions to customer needs when the portfolio is vast
Solution Approach 1:
The patent introduces an expert system as an intermediary between the customer's needs and the company's vast portfolio of offerings. This expert system acts as a mediator that automatically analyzes customer requirements against multiple offerings using predefined criteria and rules, thereby achieving both ease of operation for customers and high precision in recommendations without requiring human representative intervention
Solution Approach 2:
The patent replaces the mechanical system of human representatives manually assessing customer needs with an automated expert system. This substitution uses computer-based algorithms and automated analysis to evaluate offerings against customer requirements, maintaining high recommendation precision while significantly improving ease of operation and reducing resource requirements
2Manufacturing precision
If a company dedicates significant resources and human representatives to support and sell to customers, then manufacturing precision is improved through personalized service, but productivity deteriorates due to the cost-ineffectiveness for small and medium-sized customers
Solution Approach 1:
The patent enables customers to independently obtain customized solution recommendations through the expert system without requiring human representative intervention. The system automatically analyzes customer needs, evaluates offerings against predefined criteria, and generates tailored recommendations, thereby maintaining high service quality while eliminating the need for costly human resources
Solution Approach 2:
The patent changes the operational parameters of customer support from manual human-based processes to automated computer-based processes. This parameter change includes using automated algorithms, predefined evaluation criteria, and systematic analysis methods to maintain service quality while dramatically improving cost-effectiveness and scalability across different customer segments
3Adaptability or versatility
If a company has a vast portfolio of offerings with many products, services and customization options, then adaptability is improved to meet diverse customer needs, but device complexity increases making it complex to assess which offerings provide solutions
Solution Approach 1:
The patent segments the complex assessment process into distinct automated components: customer requirement analysis, offering evaluation against predefined criteria, and customized recommendation generation. The expert system divides the vast portfolio assessment into manageable automated steps, maintaining high adaptability to diverse needs while reducing perceived complexity for customers through systematic automated processing
Solution Approach 2:
The patent creates a universal expert system that can handle diverse customer needs across different product categories and service types. This single automated system performs multiple functions including requirement analysis, offering evaluation, and recommendation generation for various customer segments, thereby maintaining high adaptability while simplifying the assessment process through a unified automated approach
Data Source
AI summary
An expert system is used to recommend a customized solution for a customer. The expert system includes a set of scenarios each of which includes default facts and is associated with a detailed rule base that when applied in isolation to the default facts fully determines a prototype solution. A particular scenario is selected from the set based at least on user input. A customized solution is generated by applying the detailed rule base associated with the particular scenario to facts based at least on the user input and any default facts of the particular scenario that complement and do not conflict with the facts that are based at least on the user input. The customized solution is iteratively refined.