AI-Driven Footwear Customization Platform

Publication ID: 24-11857030_0010_PTD
Published: October 27, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Driven Footwear Customization Platform,” Published Technical Disclosure No. 24-11857030_0010_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857030_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. 11,857,030.

Background and Problem Solved

The original patent addressed the limitation of providing customized footwear options to users. However, with advancements in technology, the footwear industry is poised for a paradigm shift. The present invention tackles the limitations of the original patent by introducing a next-generation platform that integrates AI-driven design, AR-based virtual try-on, IoT-enabled manufacturing, and biometric optimization to create a seamless, personalized, and efficient footwear customization experience.

Novelty and Inventive Step

The new claims introduce a novel combination of AI, AR, IoT, and biometric data to create a futuristic footwear customization platform that is more ambitious and forward-thinking than the original patent. The inventive step lies in the integration of these technologies to provide a seamless, personalized, and efficient footwear customization experience.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include integrating additional technologies such as blockchain for secure data storage, or incorporating user feedback mechanisms to refine the customization process. Variations of the invention could include applying the platform to other industries such as fashion or accessories.

Potential Commercial Applications and Market

The next-generation footwear customization platform has immense commercial potential in the footwear industry, with potential applications in retail, e-commerce, and manufacturing. The platform could be licensed to major footwear brands, or used to create a new business model for bespoke footwear. The target market includes fashion-conscious consumers, athletes, and individuals seeking customized footwear solutions.

CPC Classifications

SectionClassGroup
A A43 A43D119/00
A A43 A43B3/0078
G G05 G05B15/02
G G06 G06F30/00
G G06 G06Q10/087
G G06 G06Q30/0601
G G06 G06Q50/04
A A43 A43D2200/60
Y Y02 Y02P90/30

Field of Art

Footwear design, digital customization technologies, and manufacturing systems with a focus on user-driven product configuration and advanced manufacturing techniques

Person of Ordinary Skill (PHOSITA) Profile

A professional with expertise in footwear engineering, digital design technologies, user interface design, and advanced manufacturing processes, typically holding a bachelor's or master's degree in industrial design, mechanical engineering, or computer science

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable technological extensions of the source patent's footwear customization framework by integrating emerging digital technologies like AI, AR, and IoT into the existing customization methodology. The core concept of user-driven footwear design remains consistent, with the PTD simply applying known technological solutions to enhance the customization process. These technological integrations would be considered routine optimization and combination of existing techniques within the footwear design domain.

Obvious Combinations & Variations

Source Patent Element
Receiving a selected family of article types and graphically representing article type information
PTD Variation
Neural network generating customized footwear designs based on user preferences
Obviousness Reasoning
Applying machine learning to user preference selection is a predictable evolution of existing customization interfaces, representing an obvious application of known AI techniques to improve user experience
Source Patent Element
Method of customizing article types with user availability preferences
PTD Variation
Virtual try-on module using augmented reality to simulate footwear fit and appearance
Obviousness Reasoning
Extending user preference selection with visualization technologies is a logical and obvious enhancement to the customization process, utilizing well-established AR interaction paradigms
Source Patent Element
Graphical interface system for displaying article types
PTD Variation
IoT-enabled manufacturing network receiving and executing customization requests
Obviousness Reasoning
Integrating digital interfaces with manufacturing processes represents a straightforward technological progression, applying known industrial automation and networked manufacturing concepts
Source Patent Element
User-driven customization of article types
PTD Variation
Biometric data collection for generating optimized footwear designs
Obviousness Reasoning
Incorporating user-specific physiological data into product design is an obvious refinement of existing customization methodologies, representing a predictable application of personalization technologies
Source Patent Element
Web and remote device interface for article type selection
PTD Variation
Social media and purchase history trend analysis for generating design recommendations
Obviousness Reasoning
Leveraging digital data sources for product design insights is a routine application of big data and machine learning techniques in consumer product development
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857030 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and anticipated, as the PTD represents a predictable combination of known customization techniques with emerging digital technologies, thereby rendering subsequent claims of novelty invalid under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,030
TitleCustomized article type
Assignee(s)NIKE, Inc.