Virtual Property Inventory for Automated Insurance Replacement

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Solution Overview

Problem

The process of replacing personal property after an insurance claim is time-consuming and inefficient, with policyholders needing to manually arrange for replacements of lost items, and there is a significant time lag between out-of-pocket expenses and claim payments.

Innovation Solution

A network-based system that generates an index of personal property owned by a user using wireless traffic analysis and user preferences, automatically determining replacement items and ordering them from retailers for delivery to the user.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual property replacement arrangements are used by policyholders, then flexibility and customization are maintained, but time consumption and effort increase significantly

Engineering Contradiction:

Improveease of property replacementVSAvoidtime for replacement arrangements

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables automatic self-service property replacement by using AI to analyze wireless traffic data, generate property inventories, identify replacement items based on user preferences, and automatically place orders with retailers. This eliminates the need for manual arrangement while maintaining customization through user preference profiles.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by continuously monitoring wireless traffic to build and maintain an up-to-date inventory of user possessions and their preferences before any loss event occurs. This pre-positioning of data enables rapid response when replacement is needed.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If comprehensive property inventories are maintained for accurate replacement, then replacement accuracy improves, but system complexity and data processing requirements increase

Engineering Contradiction:

Improveaccuracy of property identificationVSAvoidcomplexity of inventory system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual inventory creation and verification processes with automated wireless traffic analysis using AI/ML algorithms. Instead of manual counting and categorization, the system passively monitors network traffic patterns to identify and track user possessions, significantly reducing complexity while improving accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated ordering systems are implemented, then processing speed increases, but system complexity and integration requirements increase

Engineering Contradiction:

Improvespeed of claim processingVSAvoidcomplexity of automated system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system introduces an intermediary AI layer that sits between the user's property data and the retailer ordering systems. This intermediary processes wireless traffic data, matches items with retailer inventories, and manages ordering logistics, simplifying the overall integration while enabling automated high-speed processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If user preferences are continuously tracked and updated, then replacement relevance and user satisfaction improve, but data processing load and privacy concerns increase

Engineering Contradiction:

Improveadaptability to user preferencesVSAvoiddata processing energy consumption

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system uses periodic action by analyzing wireless traffic data at regular intervals rather than continuously monitoring every data packet. This approach maintains up-to-date preference profiles while significantly reducing processing energy consumption compared to continuous real-time analysis.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20260087560A1Systems and methods for enhanced personal property replacement

Publication Date: 2026.03.26 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY

AI summary

A system for enhanced personal property replacement (i) builds a virtual inventory of personal belongings, such as by performing object recognition techniques on mobile device digital images with the customer's permission or affirmative consent; (ii) receives user preferences transmitted from their mobile device; (iii) receives a request from the user to handle an insurance claim after an insurance-related event; (iv) determines items to purchase for the user based upon the user preferences, and/or the extent of damage; and/or (v) transmits, to a retailer remote server a virtual order for the items to be delivered to the user at a temporary (hotel) or permanent (home) address. Insurance claim monies may be used to pay for the items. As a result, after an event (e.g., fire, tornado, hurricane), household or other goods may be automatically purchased and delivered to a customer to alleviate the negative impact of the event on their life.