AI-Driven Custom Footwear Manufacturing Innovation
Legal Citation
Background and Problem Solved
The original patent, 'Digital molding and associated articles and methods,' introduced a novel approach to 3D printing molds for footwear manufacturing. However, it was limited by its focus on uniform components and standard sizes. The present invention addresses these limitations by envisioning a next-generation system that integrates AI-driven design, real-time sensor feedback, and self-healing materials to create truly customized footwear articles.
Novelty and Inventive Step
The new claims introduce several groundbreaking innovations, including the use of generative AI for mold design, self-healing materials, real-time sensor feedback, and modular footwear design. These advancements significantly depart from the original patent's focus on uniform components and standard sizes, offering a paradigm shift in footwear manufacturing.
Alternative Embodiments and Variations
Alternative embodiments of the invention could include the use of different AI algorithms for mold design, varying types of self-healing materials, or incorporating additional sensors for tracking user performance. The modular footwear design could be adapted for different sports or activities, and the digital platform could be integrated with existing e-commerce platforms or social media networks.
Potential Commercial Applications and Market
The next-generation digital footwear manufacturing system has vast commercial potential in the athletic footwear industry, with potential applications in high-performance sports, fashion, and healthcare. The system's ability to provide customized, adaptive, and self-healing footwear articles could disrupt traditional manufacturing methods and create new revenue streams for companies willing to invest in this technology.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| 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 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Advanced manufacturing, additive manufacturing, and footwear design, with expertise in 3D printing, material science, robotic fabrication, and customized manufacturing techniques
Person of Ordinary Skill (PHOSITA) Profile
A professional with advanced degree in engineering or materials science, experienced in 3D printing technologies, familiar with robotic manufacturing systems, and knowledgeable about adaptive manufacturing techniques for complex geometries
Obviousness Rationale
A PHOSITA would recognize that the PTD's variations represent predictable extensions of the source patent's core teachings about variable composition 3D printing and molding techniques. The disclosed AI-driven design, self-healing materials, and modular manufacturing are logical progressions of the original patent's flexible printing methodology. These variations apply known techniques in machine learning, materials engineering, and customization to the existing framework of robotic liquid deposition and variable composition printing.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,023 |
|---|---|
| Title | Digital molding and associated articles and methods |
| Assignee(s) | Kornit Digital Technologies Ltd. |