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 for policyholders, often requiring significant effort and time to arrange for replacements, with a lag between out-of-pocket expenses and claim payments.
Innovation Solution
A network-based system that generates an index of personal property using wireless signals and prior purchase data, receives user preferences, and automatically orders replacement items from retailers for delivery to the policyholder.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If policyholders manually arrange for replacement of lost property after an insurance claim, then they can ensure accurate selection of replacement items, but the process becomes time-consuming and requires significant effort
Solution Approach 1:
The system creates an index of personal property before the loss event occurs by analyzing wireless traffic patterns and purchase signals. This pre-established index enables automatic identification of lost items and generation of replacement orders immediately after a claim is filed, eliminating the time-consuming manual inventory process while maintaining accuracy through pre-captured device and purchase data
Solution Approach 2:
The system enables self-service by automatically generating replacement property orders without requiring policyholder intervention. The system uses the pre-created index, user preferences, and claim information to autonomously identify needed replacements, select appropriate items based on preferences, and submit orders to retailers, freeing policyholders from the manual shopping and ordering process
2Measurement precision
If claim adjusters manually assess total loss and process personal property claims, then accurate claim determination can be achieved, but significant time and effort must be spent on the process
Solution Approach 1:
The system replaces the manual mechanical process of claim assessment with automated electronic data processing. By substituting human adjuster analysis with algorithmic processing of the pre-created property index, user preferences, and claim triggers, the system maintains assessment accuracy while dramatically increasing processing speed and reducing adjuster workload
Solution Approach 2:
The system implements feedback loops where the index of personal property, user preferences, and retailer inventory data continuously inform and refine the automatic ordering process. This feedback mechanism ensures accurate claim determination by validating replacement selections against actual user ownership patterns and preferences while maintaining high processing throughput
3Productivity
If policyholders complete personal property inventory forms to expedite claims adjustment, then the assessment process can be accelerated, but the policyholder must still perform the time-consuming task of property replacement
Solution Approach 1:
The system eliminates the need for policyholder effort in property replacement by implementing complete automation. The pre-created index and stored user preferences enable the system to autonomously identify lost items, select appropriate replacements, and execute orders without requiring the policyholder to complete inventory forms or perform any replacement tasks, while still achieving rapid claims adjustment
4Extent of automation
If a comprehensive index of personal property is generated using wireless signals and purchase data, then automatic replacement ordering can be enabled, but system complexity increases
Solution Approach 1:
The system achieves high automation by creating a multi-functional index that serves multiple purposes: tracking personal property, identifying lost items, enabling replacement ordering, and supporting claim assessment. This universal index, built from wireless traffic analysis and purchase signal aggregation, eliminates the need for separate systems for each function, reducing overall system complexity while maintaining extensive automation capabilities
Data Source
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.