Tire Selection Decision Support System for Personalized Service
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Solution Overview
Problem
The conventional tire and service industries rely on top-down decision-making, creating a knowledge gap between consumers and service providers, leading to distrust and animosity, as consumers lack the information and tools to understand the services offered, resulting in short-term relationships and potential misuse of discretionary authority.
Innovation Solution
A decision support system utilizing a multi-platform approach, including a store computer kiosk, employee mobile device, and customer mobile device, to empower customers with knowledge and facilitate personalized tire selection based on their driving style, providing transparent and easy-to-understand information to build trust and long-term relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If top-down decision-making is used to provide service recommendations, then service providers can efficiently guide customers, but customers lack understanding and trust in the services offered
Solution Approach 1:
The patent introduces a decision support system as an intermediary between service providers and customers. This system includes a customer profile database, service option database, and decision support module that objectively analyze customer needs and match appropriate services. The system translates technical service information into customer-understandable formats, eliminating the information asymmetry while maintaining efficient service recommendations.
Solution Approach 2:
The patent implements feedback mechanisms where customers can review service recommendations, provide preferences, and receive explanations for recommended services. The system continuously learns from customer responses and adjusts recommendations accordingly, ensuring customers understand the value proposition while maintaining high recommendation efficiency through iterative refinement.
2Reliability
If detailed technical information is provided to service providers, then they can make informed decisions, but customers are overwhelmed by complexity and cannot understand the services
Solution Approach 1:
The patent segments information into two distinct layers: a comprehensive technical database for service providers containing detailed service specifications, and a simplified customer interface that presents only relevant, easily understood information. The decision support module automatically filters and translates technical data into customer-friendly formats, maintaining decision accuracy while ensuring customer comprehension.
Solution Approach 2:
The patent applies different information qualities to different user roles. Service providers access complete technical databases with detailed specifications, while customers receive customized, simplified information tailored to their specific situation. The system dynamically adjusts information complexity based on user type and context, ensuring each receives appropriate detail levels.
3Adaptability or versatility
If service providers use discretionary authority to recommend services, then they can address individual customer needs, but customers distrust the motives and necessity of recommended services
Solution Approach 1:
The patent empowers customers to actively participate in the service selection process through the decision support system. Customers input their preferences, review objective analysis of their needs, and make informed decisions about which services to accept. This self-service approach eliminates perceived coercion while maintaining personalized recommendations based on individual customer profiles.
Solution Approach 2:
The patent implements transparent feedback loops where the decision support system clearly explains the rationale behind each service recommendation, showing how it aligns with the customer's stated needs and preferences. Customers can question recommendations, request alternatives, and receive immediate feedback, building trust through transparency while maintaining service customization.
Data Source
AI summary
A decision support system initially determines in response to the creation of a customer ticket a customer's driving style in accordance with user responses and input regarding driving habits and preferences, and calculates a driving style algorithm. The system compares the driving style algorithm to car tire profiles and determines which tires are best suited to the customer's driving style algorithm. Upon said determination, the selected car tires are presented to the customer for final selection in a comprehensive service platform environment for creating, forwarding, performing, and completing customer tickets amongst front end devices comprising a computer kiosk and a customer's mobile device, and a back end device comprising an employee's mobile device. Tickets created via a front end device are forwarded for performance to the back end device, wherein upon completion of service the ticket is finalized and forwarded back to a front end device for review and payment.