Genetic-Based Beverage Recommendation System

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Solution Overview

Problem

Users face difficulty in selecting a suitable beverage due to the variety of coffee options available, and existing weight loss programs do not consider individual genetic information, leading to ineffective recommendations.

Innovation Solution

A user-customized beverage recommendation system that utilizes genetic testing to acquire user genetic information, determining health conditions and taste preferences to recommend personalized beverages, integrating with a cafe service for seamless ordering and preparation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If genetic testing is performed to obtain user genetic information, then beverage recommendation accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvebeverage recommendation accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system divides the complex beverage recommendation process into distinct functional modules: a genetic information acquisition unit that collects and processes genetic data, and a beverage recommendation unit that generates personalized recommendations. This segmentation allows each module to specialize in specific tasks, improving overall recommendation accuracy while managing system complexity through modular design.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If personalized beverage recommendations are provided based on genetic information, then user satisfaction is improved, but information processing requirements increase

Engineering Contradiction:
Improvepersonalization capabilityVSAvoidinformation processing load
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system extracts only the essential genetic information relevant to beverage preferences and health considerations, rather than processing entire genomic datasets. By identifying and extracting key genetic markers associated with metabolism, taste preferences, and health conditions, the system achieves effective personalization while minimizing information processing requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

3Productivity

If genetic test results are integrated with cafe service system, then ordering efficiency is improved, but system integration complexity increases

Engineering Contradiction:
Improveordering efficiencyVSAvoidsystem integration complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system merges the genetic information acquisition unit with the beverage recommendation unit into an integrated platform that directly connects with cafe service systems. This combination allows users to receive personalized recommendations and place orders through a unified interface, improving ordering efficiency while managing integration complexity through consolidated system architecture.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS12008627B2System for recommending user-customized beverage through genetic test, and method for driving same
Publication Date: 2024.06.11 CLINOMICS CO
  • US12008627B2 patent drawing
  • US12008627B2 patent drawing
  • US12008627B2 patent drawing

AI summary

The present invention may provide a system for recommending a user-customized beverage through a genetic test, and a method for driving same, the system comprising: a genetic information acquisition unit for acquiring user's genetic information from a result of a user's genetic test; and a beverage recommendation unit for recommending at least one user-customized recommendable beverage on the basis of the genetic information acquired from the genetic information acquisition unit, wherein the system for recommending a user-customized beverage through a genetic test can recommend a customized-beverage to a user by reflecting a genotype through the user's genetic test.