Customized Product Recipe Generation From User Diagnosis Data
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Solution Overview
Problem
Existing personalized products, such as cosmetics, health functional foods, and preference items, are often misused or ineffective due to a lack of consideration for individual user conditions and preferences, leading to potential side effects and reduced efficacy.
Innovation Solution
A method that collects user survey responses and images to diagnose skin, scalp, and preference conditions, generating customized product recipes based on these results, and instructs a manufacturing device to produce personalized products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mass-produced standardized products are provided, then manufacturing cost and complexity are reduced, but user satisfaction and product effectiveness deteriorate due to lack of personalization
Solution Approach 1:
The manufacturing process is segmented into modular components: diagnosis module, recipe generation module, and manufacturing module. Each module operates independently but connects through standardized interfaces, allowing personalization without overwhelming system complexity
Solution Approach 2:
User diagnosis and recipe generation are performed in advance before manufacturing. The diagnosis result and recipe information serve as pre-prepared instructions that guide the manufacturing process, eliminating the need for complex real-time decision-making during production
2Reliability
If comprehensive user diagnosis is performed to ensure product effectiveness, then product effectiveness and safety are improved, but diagnosis time and complexity increase
Solution Approach 1:
The system performs diagnosis on the most critical parameters relevant to product effectiveness (skin condition, health status, preferences) rather than attempting to measure all possible user characteristics. This focused approach achieves sufficient reliability without excessive time investment
Solution Approach 2:
The diagnosis system uses feedback from survey responses and image analysis to iteratively refine diagnosis results. The manufacturing device receives feedback from the manufacturing process to verify product quality, creating closed-loop validation that ensures effectiveness without requiring overly complex upfront diagnosis
Data Source
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AI summary
The present invention provides a method for providing a customized product, comprising the steps of: collecting, from a user, survey response information and an image in response to survey request information and image request information provided to the user in order to diagnose at least one of the skin, scalp, health condition, and preference of the user; generating a diagnosis result for at least one of the skin, scalp, health condition, and preference of the user on the basis of the survey response information and the image; generating and providing recipe information for manufacturing a user-customized product with respect to the diagnosis result; and transmitting, to a product manufacturing device, a user-customized product manufacturing instruction signal including the recipe information on the basis of a user-customized product purchase signal received from the user, wherein the recipe information includes a raw material recommended by a diagnosis code including the diagnosis result and a raw material code including raw material information.