Digital Color Palette Generation Using 3D Color Triangulation

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Solution Overview

Problem

Existing retail environments struggle to effectively customize digital color palettes based on user interests and cultural factors, leading to suboptimal marketing and product presentation.

Innovation Solution

A computer-based algorithm uses AI and color theory to generate and update digital color palettes by analyzing user interest and cultural digital color values, applying triangulation techniques to identify complementary and undertone colors, and incorporating feedback loops for continuous refinement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional static color palettes are used in retail environments, then implementation simplicity is maintained, but user engagement and cultural relevance deteriorate

Engineering Contradiction:

Improvecultural relevanceVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent transforms static color palettes into dynamic, adaptive systems that automatically adjust based on user cultural attributes. The color palette generation system evolves from fixed predefined sets to flexible, context-aware palettes that respond to real-time user data including cultural background, demographics, and preferences, thereby achieving cultural relevance without manual intervention

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements self-service by automatically generating culturally-relevant color palettes without requiring manual design input. The algorithm autonomously processes user cultural data, applies color theory rules, and produces optimized palettes independently, eliminating the need for human designers to manually create culturally-specific color schemes for each retail context

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If generic color schemes are applied to all users, then system simplicity is maintained, but user personalization and interest alignment deteriorate

Engineering Contradiction:

Improveuser personalizationVSAvoidalgorithm complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies local quality by tailoring color palettes to individual user characteristics rather than using uniform schemes. The system analyzes specific user attributes such as cultural background, demographics, and interests to generate customized color palettes for each user segment, ensuring that each user receives color recommendations specifically adapted to their personal preferences and cultural context

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system utilizes parameter changes by adjusting color palette parameters based on user input data. The algorithm modifies color properties including hue, saturation, and brightness according to cultural and demographic parameters, transforming a single generic palette into multiple personalized variations that align with different user interests and cultural backgrounds

Inventive Principle:

Principle #35Parameter changes

3Productivity

If manual color palette creation is used, then color accuracy and design quality are maintained, but processing speed and scalability deteriorate

Engineering Contradiction:

Improvepalette generation speedVSAvoidcolor theory accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent replaces manual mechanical design processes with an automated computational system. The algorithm substitutes human designers' manual color selection and pairing processes with computer-based color theory calculations, automatically generating accurate color palettes through programmed rules and mathematical relationships rather than manual intuition and experience

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements feedback loops that continuously refine color palette generation based on user interactions and cultural data. The algorithm processes user responses, cultural attribute data, and engagement metrics to iteratively improve palette accuracy and relevance, ensuring color theory principles are consistently applied while adapting to real-world user preferences and cultural nuances

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260111921A1Computer-based techniques for generating and applying digital color palettes that correspond to user interest digital color values

Publication Date: 2026.04.23 TARGET BRANDS INC

AI summary

The disclosed systems and methods provide for automatically generating digital color palettes associated with user interest colors. A method may include receiving, by a computer, a user interest digital color value, retrieving a color palette ruleset having rules to provide Boolean outputs indicating whether a color palette rule is satisfied by candidate color values, applying the color palette ruleset to the user interest color value, and identifying digital color values for a digital color palette associated with the user interest color value. Identifying the digital color values can include: identifying a complement color value to the user interest color, identifying a neutral gray color corresponding to the user interest color, mapping the user interest color, complement color, and neutral gray color in a 3D color plane, and applying triangulation techniques to identify a subset of color values within a triangular range according to the color palette ruleset.