How a System Scores Your Home's Maintenance and Teaches You
This patent describes a system that uses machine learning to score a home's maintenance, compares it to another property, and then creates personalized learning tips for the user to help them improve their home, especially when moving.
Original patent title: “Systems and methods for generating a home score and modifications for a user”
This patent describes a system that uses machine learning to score a home's maintenance, compares it to another property, and then creates personalized learning tips for the user to help them improve their home, especially when moving. Granted in 2026.
Coverage
What does this patent actually cover?
This system evaluates and gamifies property maintenance for a user. It starts by retrieving data for a user's current home (first property) and a new home they are becoming associated with (second property). Using a trained machine learning model, it calculates maintenance scores for the new home based on its data. Crucially, it detects local environmental differences between the user's old and new properties. Finally, it generates a personalized learning module for the user. This module aims to help the user improve or maintain the new home's maintenance scores, specifically tailoring advice based on the detected environmental differences. For example, if a user moves from a dry desert climate to a humid coastal area, the system might generate a module on preventing mold or managing humidity in their new home.
The gap
What does this patent NOT cover?
- Does not cover systems that only score a single property without comparing it to another property associated with the user.
- Does not cover systems that do not use a trained machine learning model to calculate home score factors.
- Does not cover systems that fail to detect local environmental differences between two properties a user is associated with.
- Does not cover systems that do not generate a personalized learning module for the user based on those environmental differences.
- Does not cover systems that solely provide generic maintenance advice without considering a user's transition between different properties.
These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.
Key facts
What made this novel
The noveltynoveltyThe requirement that an invention be different from anything publicly known before its priority date.Read more → lies in combining a user's transition between two properties with the detection of environmental differences between those locations. This allows the system to generate highly personalized, proactive maintenance advice, rather than just generic tips, by anticipating new challenges a user might face.
Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.
Where you've seen this
Real-world examples
Smart home assistant apps
Real estate platforms offering homeowner resources
Home insurance company portals
Property management software for individual homeowners
Why it matters
The bigger picture
This technology could help homeowners, especially those relocating, understand and adapt to new maintenance needs specific to their new environment. By providing personalized guidance, it could reduce unexpected repair costs and help maintain property value. It also introduces a gamified element to encourage consistent home care.
Filed
April 23, 2024
Granted
September 15, 2026
Market context
Who's building on this
Companies in this space
Companies in the smart home ecosystem, such as Google (Nest) and Amazon (Alexa), are continually developing services to assist homeowners with property management. Real estate technology companies like Zillow and Redfin could integrate such features to support buyers after a purchase. Insurance providers like State Farm or Liberty Mutual might also develop similar systems to help policyholders mitigate risks and maintain their properties.
Market impact
This patent could contribute to the growing market for smart home services and personalized property management tools. It has the potential to create a new category of 'home transition' assistance, offering value to users moving to new areas. It could also influence how real estate platforms and insurance companies engage with customers, potentially reducing claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more → related to preventable home issues and fostering better long-term property care.
Claim 1 — Plain English
What this patent covers
This system evaluates and gamifies property maintenance for a user. It starts by retrieving data for a user's current home (first property) and a new home they are becoming associated with (second property). Using a trained machine learning model, it calculates maintenance scores for the new home based on its data. Crucially, it detects local environmental differences between the user's old and new properties. Finally, it generates a personalized learning module for the user. This module aims to help the user improve or maintain the new home's maintenance scores, specifically tailoring advice based on the detected environmental differences. For example, if a user moves from a dry desert climate to a humid coastal area, the system might generate a module on preventing mold or managing humidity in their new home.
The clever bit
The novelty lies in combining a user's transition between two properties with the detection of environmental differences between those locations. This allows the system to generate highly personalized, proactive maintenance advice, rather than just generic tips, by anticipating new challenges a user might face.
What it does not cover
- Does not cover systems that only score a single property without comparing it to another property associated with the user.
- Does not cover systems that do not use a trained machine learning model to calculate home score factors.
- Does not cover systems that fail to detect local environmental differences between two properties a user is associated with.
- Does not cover systems that do not generate a personalized learning module for the user based on those environmental differences.
- Does not cover systems that solely provide generic maintenance advice without considering a user's transition between different properties.
Patent timeline
Application submitted to the patent office
Patent officially issued
PatentBrief Score
Impact Score
Early stage
Citation count
0/40
No citations yet
Claim breadth
0/20
Narrow claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →
Recency
20/20
Granted within 5 years
Assignee scale
0/20
Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →
PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.
Heuristic Value Estimate
What this patent might be worth
$19K – $61K
Midpoint $38K · 17.5 yr remaining · industry ×1.6
Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.
Claim text not yet imported for this patent
Concepts involved
Cite this patent
(2026). How a System Scores Your Home's Maintenance and Teaches You (U.S. Patent No. 12,737,818). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/12737818/systems-and-methods-for-generating-a-home-score-and-modifications-for-a-user
Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.
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Common Questions
Frequently Asked Questions
What does How a System Scores Your Home's Maintenance and Teaches You cover?
This patent describes a system that uses machine learning to score a home's maintenance, compares it to another property, and then creates personalized learning tips for the user to help them improve their home, especially when moving.
When does this patent expire?
This patent is expected to expire on September 15, 2046, when the invention enters the public domain.
What problem does this patent solve?
This technology could help homeowners, especially those relocating, understand and adapt to new maintenance needs specific to their new environment. By providing personalized guidance, it could reduce unexpected repair costs and help maintain property value. It also introduces a gamified element to encourage consistent home care.
What does this patent NOT cover?
Does not cover systems that only score a single property without comparing it to another property associated with the user.
Patent monitoring