Digital Color Palette Generation Using 3D Triangulation Rules

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing retail environments struggle to effectively customize digital color palettes to align with individual user interests and cultural preferences, 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 based on user interest and cultural digital color values, applying triangulation techniques to identify complementary and undertone colors, and incorporates a feedback loop for continuous refinement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional retail marketing materials are used without customization, then device complexity and implementation ease are maintained at basic levels, but adaptability to individual user interests and cultural preferences remains poor

Engineering Contradiction:

Improveadaptability to user interestsVSAvoidcomplexity of color palette generation system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically generates customized color palettes by analyzing user profile data, purchase history, and cultural preferences without requiring manual intervention. The algorithm self-adjusts color selections based on user interactions and feedback, enabling the marketing materials to adapt to individual users autonomously.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts color palette parameters (hue, saturation, brightness) based on user-specific data including cultural background, seasonal preferences, and purchase patterns. By changing these visual parameters adaptively, the system achieves high customization without requiring complex structural modifications to the marketing platform.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If comprehensive user data analysis is performed to generate personalized color palettes, then adaptability to user preferences improves, but computational resource consumption increases

Engineering Contradiction:

Improvecustomization to cultural preferencesVSAvoidcomputational resources for palette generation

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system pre-processes and stores user profile data, cultural preferences, and purchase history in structured formats during off-peak periods. This preliminary organization of data enables rapid retrieval and analysis when generating color palettes, reducing real-time computational requirements while maintaining high customization accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements a tiered approach to data analysis, performing comprehensive analysis only when necessary for high-value users or critical marketing campaigns. For routine interactions, it uses streamlined analysis of key preference indicators, balancing customization quality with computational efficiency.

Inventive Principle:

Principle #16Partial or excessive action

3Productivity

If static color palettes are used in marketing materials, then implementation simplicity is maintained, but effectiveness in engaging diverse user segments decreases

Engineering Contradiction:

Improvemarketing effectivenessVSAvoidcomplexity of dynamic palette application

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system transitions from static color palettes to dynamic, user-specific color selections. Marketing materials automatically adjust their color schemes based on the individual user's profile, cultural background, and preferences. This dynamic adaptation significantly improves marketing effectiveness across diverse user segments while using standardized generation algorithms.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

A single color generation algorithm serves multiple user segments and cultural groups by adapting to different input parameters. The same core system generates appropriate color palettes for various cultures, seasons, and user preferences, eliminating the need for separate static palette definitions for each user segment while maintaining high marketing effectiveness.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12530701B2Computer-based techniques for generating and applying digital color palettes that correspond to user interest digital color

Publication Date: 2026.01.20 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.