AI-Powered Coffee Making Appliance with Integrated Quality Control

Publication ID: 24-11857102_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “AI-Powered Coffee Making Appliance with Integrated Quality Control,” Published Technical Disclosure No. 24-11857102_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857102_0003_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. 11,857,102.

Summary of the Inventive Concept

A revolutionary coffee making system that combines advanced drip filter technology with AI, IoT, and blockchain innovations to provide personalized, high-quality coffee experiences while ensuring coffee bean origin transparency and automated quality control.

Background and Problem Solved

Conventional drip filter coffee makers have limitations in terms of user experience, coffee quality, and supply chain transparency. The original patent addressed some of these issues, but the new inventive concept takes a significant leap forward by integrating AI-powered brewing algorithms, IoT-enabled sensors, and blockchain-based origin tracking to create a more powerful and efficient coffee making system.

Detailed Description of the Inventive Concept

The new system consists of a drip filter coffee machine with a removable filter basket, an AI-powered coffee brewing algorithm that optimizes brewing parameters based on user preferences and coffee bean type, and a blockchain-based coffee bean origin tracking system. The algorithm receives user input via a mobile app and transmits optimized brewing parameters to the coffee machine. The IoT-enabled sensor monitors coffee bean freshness and automatically orders replacement beans when necessary. The mobile app receives notifications and brewing data from the appliance, providing users with a seamless and personalized coffee experience.

Novelty and Inventive Step

The new claims introduce a synergistic combination of AI, IoT, and blockchain technologies that revolutionize the coffee making experience. The integration of these distinct technologies creates a new, more powerful system that is not obvious from the original patent or prior art.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating machine learning-based coffee flavor profiling algorithms, spectroscopy-based coffee quality sensors, or subscription-based coffee bean delivery services. Variations could also include using different types of coffee makers, such as espresso or French press machines, or incorporating additional features like voice assistants or augmented reality interfaces.

Potential Commercial Applications and Market

The AI-powered coffee making appliance with integrated quality control has significant commercial potential in the coffee industry, particularly in the premium and specialty coffee segments. Target markets could include high-end coffee shops, restaurants, and hotels, as well as individual consumers seeking a superior coffee experience.

CPC Classifications

SectionClassGroup
A A47 A47J31/02
A A47 A47J31/0573
A A47 A47J31/061
A A47 A47J31/0605
A A47 A47J31/106
A A47 A47J31/36
A A47 A47J31/44
A A47 A47J31/4403
A A47 A47J31/4407
A A47 A47J31/4457
A A47 A47J31/4482
A A47 A47J31/52
A A47 A47J31/521
A A47 A47J31/525
A A47 A47J31/4492

Field of Art

Coffee making appliances and automated brewing systems, encompassing mechanical design, control systems, and user interface technologies for beverage preparation devices

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in kitchen appliance design, embedded systems, and user interaction technologies, possessing knowledge of IoT, mobile app integration, and automated control systems

Obviousness Rationale

A person of ordinary skill would recognize that integrating modern digital technologies like AI, IoT, and mobile app control into a traditional drip coffee maker represents a predictable application of known technological solutions to enhance user experience and functionality. The fundamental coffee brewing mechanism remains consistent with the source patent, while the added technologies provide incremental improvements through standard integration techniques. The combination of existing technologies to create a more sophisticated coffee making system would be considered an obvious extension of the base coffee maker design.

Obvious Combinations & Variations

Source Patent Element
Drip filter coffee machine with removable filter basket
PTD Variation
Adding IoT-enabled sensors for coffee bean freshness monitoring and automatic reordering
Obviousness Reasoning
Integrating sensor-based monitoring and automated supply chain management is a known technique in smart appliance design, representing a predictable application of IoT technologies to existing product architectures
Source Patent Element
Water reservoir and pump system for coffee brewing
PTD Variation
Implementing AI-powered brewing parameter optimization based on user preferences and coffee bean characteristics
Obviousness Reasoning
Adaptive control systems that modify brewing parameters are well-established in the art, and applying machine learning to optimize brewing represents a straightforward extension of existing control system technologies
Source Patent Element
Coffee making appliance with basic user interface
PTD Variation
Mobile app integration for remote brewing control, preference setting, and data collection
Obviousness Reasoning
Mobile app control for household appliances is a standard design approach, and extending coffee maker functionality through smartphone interfaces would be an obvious design choice for a skilled practitioner
Source Patent Element
Basic coffee brewing mechanism
PTD Variation
Blockchain-based coffee bean origin tracking system
Obviousness Reasoning
Implementing provenance tracking through distributed ledger technologies is a known technique for supply chain transparency, representing a predictable application of blockchain to product traceability
Source Patent Element
Drip filter coffee machine design
PTD Variation
Machine learning-based coffee flavor profiling and recommendation system
Obviousness Reasoning
Personalization through machine learning algorithms is a standard approach in consumer product design, and applying such techniques to coffee selection represents an obvious combination of known technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857102 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious through standard technological integration techniques. The combination of IoT sensors, AI brewing optimization, mobile app control, and blockchain tracking represents predictable extensions of existing coffee making technologies, rendering subsequent claims covering similar implementations anticipated and obvious prior art.

Original Patent Information

Patent NumberUS 11,857,102
TitleAdvanced drip filter coffee maker
Assignee(s)BREVILLE PTY LIMITED