AI-Powered Custom Footwear Design & Health Monitoring System

Publication ID: 24-11857023_0010_PTD
Published: October 27, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Custom Footwear Design & Health Monitoring System,” Published Technical Disclosure No. 24-11857023_0010_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857023_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,023.

Background and Problem Solved

The original patent disclosed a method for three-dimensionally printed molds for manufacturing articles such as footwear. However, this approach has limitations in terms of material properties, geometries, and user-specific customization. The present invention addresses these limitations by introducing a holistic system that predicts optimal material properties and geometries for a specific user's foot, creates customized, adaptive footwear, and provides real-time foot health monitoring.

Novelty and Inventive Step

The present invention introduces a paradigm shift in footwear manufacturing by integrating AI-driven design, hybrid 3D printing and knitting, and real-time foot health monitoring. The new claims are novel and non-obvious compared to the original patent, as they enable the creation of customized, adaptive footwear with unprecedented comfort, flexibility, and sustainability.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different AI algorithms, material libraries, or 3D printing technologies. Variations could also include the integration of additional sensors or features, such as temperature control or antimicrobial properties, into the footwear components.

Potential Commercial Applications and Market

The present invention has significant commercial potential in the footwear industry, with applications in athletic, fashion, and orthotic footwear. The system's ability to create customized, adaptive footwear with real-time foot health monitoring could disrupt the traditional footwear manufacturing process, providing a competitive advantage for companies that adopt this technology. Additionally, the cloud-based platform for collaborative design, prototyping, and production could accelerate innovation and reduce environmental impact in the footwear industry.

CPC Classifications

SectionClassGroup
A A43 A43B1/14
A A43 A43B3/34
A A43 A43B13/04
A A43 A43B17/003
A A43 A43B17/14
A A43 A43B23/0215
A A43 A43D1/00
A A43 A43D1/02
A A43 A43D999/00
B B29 B29C64/112
B B29 B29C64/209
B B29 B29C64/336
B B29 B29C64/393
B B29 B29D35/00
B B29 B29D35/12
B B33 B33Y10/00
B B33 B33Y30/00
B B33 B33Y50/02
B B33 B33Y70/00
A A43 A43B5/00
A A43 A43D2200/60
B B29 B29K2075/00
B B29 B29K2105/04
B B29 B29K2713/00
B B29 B29L2031/50
B B33 B33Y80/00

Field of Art

Advanced manufacturing, additive manufacturing, and footwear design technologies, focusing on multi-material 3D printing, robotic dispensing, and customized manufacturing processes

Person of Ordinary Skill (PHOSITA) Profile

A professional with expertise in materials engineering, 3D printing technologies, robotics, and footwear design, holding advanced degrees in mechanical engineering or materials science, with practical experience in additive manufacturing and product customization

Obviousness Rationale

A PHOSITA would recognize that the PTD's AI-driven, multi-material 3D printing approach for footwear is a natural progression from the source patent's robotic molding techniques. The disclosed variations represent predictable extensions of existing 3D printing and customization technologies, applying known machine learning and sensor integration techniques to footwear manufacturing. The combination of AI design, adaptive materials, and sensor-embedded structures would be considered an obvious iteration of the source patent's multi-material dispensing method.

Obvious Combinations & Variations

Source Patent Element
Robotic gantry with printing nozzle for dispensing curable liquid with varied composition
PTD Variation
AI-driven design module predicting optimal material properties and geometries for user-specific footwear
Obviousness Reasoning
Predictable application of machine learning to existing multi-material printing techniques, representing a design optimization of known robotic dispensing methods
Source Patent Element
Method of depositing different material compositions in a single manufacturing process
PTD Variation
Hybrid 3D printing and knitting process creating dynamically adjustable footwear components
Obviousness Reasoning
Known technique of material variation extended to create adaptive, responsive footwear structures using established manufacturing approaches
Source Patent Element
Transferring partially cured material to a substrate to create an article
PTD Variation
3D-printed footwear component with hierarchical, fractal-inspired structure mimicking biological materials
Obviousness Reasoning
Predictable design optimization using biomimetic principles, applying known material structuring techniques to improve functional performance
Source Patent Element
Method of curing liquid materials with varied composition
PTD Variation
Sensor-embedded 3D-printed insole for real-time foot health monitoring
Obviousness Reasoning
Obvious integration of sensing technologies into 3D-printed structures, representing a standard approach to adding functional capabilities to manufactured articles
Source Patent Element
Robotic manufacturing process for creating complex molded articles
PTD Variation
Cloud-based collaborative platform for distributed 3D printing and generative design
Obviousness Reasoning
Predictable digital transformation of manufacturing processes, applying known cloud computing and collaborative design techniques to existing robotic manufacturing paradigms
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857023 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations in adaptive, AI-driven footwear manufacturing to be obvious extensions of existing multi-material 3D printing and robotic dispensing technologies. The combination of known techniques in machine learning, sensor integration, and advanced manufacturing represents a predictable progression that would be apparent to a skilled practitioner in the field.

Original Patent Information

Patent NumberUS 11,857,023
TitleDigital molding and associated articles and methods
Assignee(s)Kornit Digital Technologies Ltd.