AI-Powered Personalized Seasoning Manufacturing System

Publication ID: 24-11856973_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Powered Personalized Seasoning Manufacturing System,” Published Technical Disclosure No. 24-11856973_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856973_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. 11,856,973.

Background and Problem Solved

The original patent disclosed a method for manufacturing an instant soup stock solid seasoning using microwave drying. However, this method has limitations in terms of personalization and adaptability to individual user preferences. The present invention addresses these limitations by introducing a system that leverages advanced technologies to create a tailored and responsive seasoning experience.

Novelty and Inventive Step

The present invention introduces a paradigm shift in the instant soup stock solid seasoning industry by integrating machine learning, wearable devices, and cloud connectivity to provide a personalized and adaptive seasoning experience. The invention's novelty lies in its ability to dynamically adjust the seasoning blend based on user preferences, dietary needs, and flavor profiles, which is not achievable with the original patent's method.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of different machine learning algorithms, wearable devices, or cloud-based platforms. Variations could include the integration of additional features, such as nutritional analysis or meal planning, to further enhance the user experience.

Potential Commercial Applications and Market

The invention has significant commercial potential in the food and beverage industry, particularly in the areas of personalized nutrition, meal kit delivery, and smart kitchen appliances. The target market includes health-conscious consumers, busy professionals, and individuals with specific dietary needs or preferences.

CPC Classifications

SectionClassGroup
A A23 A23L23/10
A A23 A23L5/34
A A23 A23L5/51
A A23 A23L5/55
A A23 A23L13/10
A A23 A23L13/52
A A23 A23L27/10
A A23 A23L27/88
A A23 A23P30/10
A A23 A23V2002/00

Field of Art

Food processing and seasoning technology, specifically instant soup stock solid seasoning production, involving food chemistry, drying techniques, and flavor engineering

Person of Ordinary Skill (PHOSITA) Profile

A food technologist with expertise in food processing, flavor development, and manufacturing techniques, holding at least a bachelor's degree in food science or related field, with knowledge of microwave drying, ingredient interactions, and seasoning formulation

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and personalization approach represents a predictable technological extension of existing food processing techniques, applying standard computational methods to enhance traditional seasoning production. The core innovation involves integrating digital technologies with established food manufacturing processes, which would be an obvious progression for someone skilled in food technology and digital systems integration.

Obvious Combinations & Variations

Source Patent Element
Microwave drying method for soup stock solid seasoning
PTD Variation
3D food printing technology for on-demand seasoning production
Obviousness Reasoning
Applying advanced manufacturing techniques to existing food processing methods is a predictable technological progression, representing a known technique for customizing food production
Source Patent Element
Mixture formation using raw meat and soup stock with specific inosinic acid concentration
PTD Variation
Machine learning algorithm for generating flavor profiles based on user preferences
Obviousness Reasoning
Extending ingredient selection through computational methods is an obvious application of known data analysis techniques to food formulation
Source Patent Element
Precise control of drying conditions (temperature, vacuum, microwave output)
PTD Variation
Real-time seasoning blend adjustment using wearable device monitoring
Obviousness Reasoning
Implementing dynamic process control through sensor-based feedback is a standard engineering approach for adaptive manufacturing systems
Source Patent Element
Soup stock composition with specific ingredient concentrations
PTD Variation
Modular seasoning cartridge system with interchangeable flavor profiles
Obviousness Reasoning
Modularizing food production to enable consumer customization represents a predictable design choice in consumer product development
Source Patent Element
Method for manufacturing instant soup stock solid seasoning
PTD Variation
Cloud-based platform for remote seasoning blend customization
Obviousness Reasoning
Integrating digital connectivity with food production is an obvious technological convergence using standard internet of things (IoT) technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856973 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious, as they represent predictable applications of computational and digital technologies to established food processing methodologies, thereby rendering subsequent patent claims anticipated and non-patentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,856,973
TitleInstant soup stock solid seasoning and method for manufacturing same
Assignee(s)Ariake Japan Co., Ltd.