AI-Driven Digital Product Model Generation from Usage Patterns

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing product development processes lack efficiency and sustainability, as they do not adequately account for individual user usage patterns, leading to suboptimal product design, selection, and fabrication.

Innovation Solution

A computer-implemented method that uses a machine learning model to generate a 3-D virtual image of a product based on a user's usage pattern, analyzes this image to identify requirement specifications, and generates a digital model of a new product tailored to these specifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional product development processes are used, then general product design can be achieved, but efficiency and sustainability are insufficient due to lack of customization to individual usage patterns

Engineering Contradiction:

Improveproduct customization to usage patternVSAvoidproduct development efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by capturing and analyzing usage patterns before product design finalization. Sensors collect data on how users actually interact with products, and this information is processed in advance to inform design decisions, enabling customization without starting from scratch for each user.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops where usage data from sensors is constantly monitored and fed back to the design system. This feedback mechanism allows the product design to adapt and improve based on actual user behavior, enhancing customization while maintaining development efficiency through iterative optimization.

Inventive Principle:

Principle #23Feedback

2Loss of energy

If traditional product development processes are used, then standard manufacturing can be maintained, but sustainability is reduced due to unnecessary resource consumption

Engineering Contradiction:

Improveresource efficiencyVSAvoidmanufacturing process simplicity

Core Design Contradiction:

Loss of energyVSEase of manufacture

Solution Approach 1:

The system applies local quality by customizing only the specific product attributes that affect user experience based on usage patterns, rather than redesigning entire products. This allows sustainability improvements through targeted modifications while maintaining manufacturing simplicity for standard components.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system utilizes parameter changes by adjusting specific design parameters based on analyzed usage patterns. This enables sustainable manufacturing by producing variants with modified parameters (e.g., dimensions, materials, configurations) rather than completely redesigning products, thus reducing resource consumption while maintaining ease of manufacture.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12333220B2Usage-pattern-based generation of digital product model

Publication Date: 2025.06.17 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A process is provided for usage-pattern-based generation of a digital model of a product. The process includes obtaining a usage pattern of a user of a product, where the usage pattern includes a set of usage pattern parameters. In addition, the process includes using a machine learning model of an artificial intelligence system to generate a 3-D virtual image of the product aligned with the usage pattern, and analyzing, by the artificial intelligence system, the 3-D virtual image of the product to facilitate identifying a requirement specification for the product based on the usage pattern. Further, the process includes generating a digital model of a new product for the user based on the identified requirement specification.