Customized Hair Care System Using Segmented Analysis
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Solution Overview
Problem
Current hair care systems lack scientific precision and customization, relying on limited expertise from cosmetologists, bloggers, and dermatologists, who often provide non-individualized and outdated advice due to insufficient data analysis and understanding of hair properties.
Innovation Solution
A system and method that gather data through hair samples, interviews, or questionnaires, analyzing this information using a computerized knowledge base to generate customized hair reports categorized by factors like race, hair color, and style, providing personalized advice and improving over time with data analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard hair analysis methods are used by cosmetologists and dermatologists, then hair care advice can be provided, but the advice lacks scientific precision and customization
Solution Approach 1:
The system segments hair analysis into multiple independent components: visual assessment module, tactile assessment module, environmental factor module, and product interaction module. Each module collects specific data types independently, which are then integrated to form a comprehensive profile. This segmentation enables precise measurement of individual hair characteristics without requiring a single complex analytical device.
Solution Approach 2:
The patent introduces a computerized knowledge base as an intermediary between raw hair data and care recommendations. This knowledge base stores scientifically validated relationships between hair characteristics and optimal care practices, acting as a mediator that translates measured parameters into customized advice. This intermediary layer provides scientific precision while keeping the system architecture manageable.
2Adaptability or versatility
If general hair care recommendations are provided to the public, then broad applicability is achieved, but individual customization is lost
Solution Approach 1:
The system applies local quality by tailoring care recommendations to specific local characteristics of each user's hair. Instead of providing uniform advice, the system identifies unique combinations of porosity, elasticity, curl pattern, and environmental sensitivity for each individual, then generates customized recommendations targeted at those specific characteristics. This enables high adaptability while using standardized assessment protocols.
Solution Approach 2:
The hair care profile is designed to be dynamic rather than static. The system continuously updates recommendations based on new data from periodic reassessments, changing environmental conditions, and product usage feedback. This dynamic approach allows the system to adapt to individual users over time without requiring complete re-analysis, managing complexity through iterative refinement.
3Loss of information
If detailed hair characteristics are measured, then comprehensive analysis is achieved, but the complexity of assessment increases
Solution Approach 1:
The system incorporates self-service elements where users can perform preliminary assessments themselves using guided protocols. Users collect basic data through structured questionnaires and simple observational tasks, which are then processed by the knowledge base. This self-service approach captures comprehensive information without requiring expert assessors for every measurement, reducing the practical difficulty of detailed assessment.
Solution Approach 2:
The system performs preliminary data processing and filtering before comprehensive analysis. Basic hair characteristics are assessed first through standardized protocols, and only parameters that require advanced measurement are then evaluated using more complex methods. This preliminary action reduces the overall difficulty by breaking down the comprehensive assessment into manageable stages.
Data Source
AI summary
A system and method of providing customized hair care information including the step of gathering data on an individual's hair. The system and method includes the step of creating, within a computerized system, an account. The system and method includes storing the gathered data in association with the account in a computerized data storage device. The system and method include the step of analyzing the stored data using a processor in association with a computerized knowledge base thereby generating account analytics. The step of analyzing stored data from a plurality of diverse accounts includes the step of grouping the analyzed stored data by at least one category selected from the group of categories consisting of: race/ethnicity, hair color, hair composition, hair style, hair length, hair thickness, and hair curliness. The system and method includes automatically generating a customized hair report based on the account analytics.