Personalized Supplement Dosing With Prepackaged Formula Combinations

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Solution Overview

Problem

Existing multivitamin products lack sufficient customization to be truly personalized for individual health needs, and existing approaches to personalization are either impractical or economically infeasible.

Innovation Solution

A system utilizing combinatorial daily dosing, intelligent formulation, and dynamic personalization to create personalized dietary supplements by identifying therapeutic targets from user health profiles and mapping them to corresponding dietary supplement ingredients, with machine learning for feedback and formulation optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional multivitamins use a one size fits most approach with broad category customization, then manufacturing and distribution are simple and cost-effective, but the level of personalization is insufficient to meet individual health needs

Engineering Contradiction:

Improvepersonalization levelVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the supplement selection process into distinct modules: health profile assessment, therapeutic target identification, supplement ingredient mapping, and formulation generation. This modular approach enables high-level personalization without requiring a completely complex monolithic system, as each module can be independently developed and optimized.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system creates a universal platform that handles multiple functions: collecting health data, identifying therapeutic conditions, mapping supplement ingredients to conditions, generating personalized formulations, and providing educational content. This multi-functional approach consolidates what could be multiple separate systems into one unified solution, managing complexity while delivering comprehensive personalization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If truly personalized supplements are created for each individual, then health outcomes and compliance improve, but economic feasibility and practical implementability deteriorate

Engineering Contradiction:

Improvehealth outcome effectivenessVSAvoideconomic feasibility

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The system changes parameters efficiently by using standardized therapeutic condition categories and supplement ingredient profiles. Rather than creating entirely unique formulations for each person, the system adjusts parameters (specific ingredient combinations and dosages) based on matched therapeutic targets, making personalization economically feasible while maintaining effectiveness.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system uses template-based formulation generation where proven supplement combinations for specific therapeutic conditions are replicated and adapted for individual users. This copying approach allows personalized supplements to be generated without requiring entirely new formulation development for each user, reducing manufacturing complexity and cost.

Inventive Principle:

Principle #26Copying

3Measurement precision

If comprehensive health profile data is collected and analyzed, then therapeutic target identification accuracy improves, but data processing complexity and time requirements increase

Engineering Contradiction:

Improvetherapeutic target identification accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-establishing mappings between therapeutic conditions and supplement ingredients, and pre-categorizing health profile elements. When a user provides health data, the system can quickly match against pre-prepared templates rather than analyzing everything from scratch, reducing processing time while maintaining identification accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where user responses to health questions and supplement effectiveness are continuously processed to refine therapeutic target identification. This feedback loop improves accuracy over time without requiring increased processing time for each individual assessment, as the system learns from aggregated data.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260031214A1Systems for generating personalized dietary supplements

Publication Date: 2026.01.29 GULP IND INC

AI summary

Techniques for personalizing dietary supplements for use across multiple user profiles and for personalizing a set of dietary supplements for a specific user are disclosed. Information detailing a health profile element is received. Based on that health profile element, certain therapeutic targets are identified. A data structure is accessed, where this structure maps various therapeutic conditions to dietary supplements designed to alleviate those conditions. Formulas of dietary supplements are optionally multi-purposefully over-formulated. A limited number of differing types of prepackaged units of formulas of dietary supplements is identified. A set of at least two prepackaged units is selected. This set constitutes a divided daily dosage for the user. The set also includes dietary supplements designed to alleviate the therapeutic targets of the user. Dynamically personalized labels for the set are generated.