Situation-Aware Service Matching for Customer Need Prioritization
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Solution Overview
Problem
Consumers face difficulty in determining appropriate services to improve their quality of life (QOL) due to the lack of a system that can match individual needs with suitable services, leading to inefficient service provision.
Innovation Solution
A matching system that includes a situation evaluation unit, priority determination unit, service selection unit, and presentation unit to match customer needs with service providers based on predetermined criteria, considering urgency and importance of needs, and delivery date information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a matching system is introduced to propose appropriate services, then service appropriateness and customer satisfaction improve, but system complexity and operational requirements increase
Solution Approach 1:
The matching system is divided into distinct functional modules: situation evaluation unit that assesses customer needs, priority determination unit that ranks services, service selection unit that matches candidates, and presentation unit that delivers results. This segmentation allows each module to perform a specific function independently, improving service appropriateness while managing system complexity through modular design.
Solution Approach 2:
The matching system acts as an intermediary between customers and service providers, automatically processing situation evaluation, priority determination, and service selection. This intermediary function resolves the contradiction by handling the complexity of matching algorithms internally while presenting simple, appropriate service recommendations to users.
2Measurement precision
If multiple services are evaluated and matched based on priority criteria, then service selection accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The situation evaluation unit performs preliminary assessment of customer needs and circumstances before the matching process begins. By pre-evaluating situation factors and establishing baseline priorities, the system reduces the computational burden during the actual service selection phase, maintaining accuracy while reducing processing time.
Solution Approach 2:
The system transforms qualitative customer situations into quantitative evaluation parameters that can be processed efficiently. By converting situation descriptions into standardized priority scores and matching criteria, the system achieves accurate service selection through mathematical comparison rather than complex qualitative analysis.
Data Source
AI summary
A matching system includes: a situation evaluation result acquisition unit configured to acquire a situation evaluation result according to customer needs; a customer-side priority determination unit configured to determine priority of a customer for the needs based on the situation evaluation result and a predetermined index criterion; a customer-side service selection unit configured to select a candidate for a service based on the situation evaluation result and the determined priority of the customer; a provision condition acquisition unit configured to acquire a provision condition of the service; a customer-side information acquisition unit configured to acquire the candidate for the service to be matched; a provider-side information acquisition unit configured to acquire the provision condition; an extraction unit configured to extract services of a proposal candidate; a matching unit configured to select a service to be proposed to the customer; and a presentation unit configured to present the service selected.