Receipt Data Management for Health Correlation
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Solution Overview
Problem
Users face challenges in monitoring and improving their health habits due to the manual entry of diet and exercise data, leading to potential errors, and receipts from purchases are often not utilized effectively for health monitoring or insurance purposes.
Innovation Solution
A system and method for capturing, managing, and using receipt data to correlate health-related information with purchase habits, providing personalized recommendations and insurance offerings based on receipt data analysis, and integrating with wearable devices and insurance databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of diet and exercise data is used, then users can monitor health habits, but errors occur and data accuracy decreases
Solution Approach 1:
The system automatically captures receipt data without requiring user input. Users simply upload or forward receipts, and the system autonomously extracts purchase information, correlates it with health data, and generates insights, eliminating manual data entry while maintaining high accuracy
Solution Approach 2:
The patent replaces the mechanical process of manual data entry with automated optical character recognition (OCR) and data extraction systems that scan and interpret receipt images, converting visual information into structured health monitoring data
2Loss of information
If receipts are not collected or utilized, then storage space is saved, but health monitoring opportunities are lost
Solution Approach 1:
The system creates digital copies of receipt information through OCR technology, extracting essential data from physical or electronic receipts. These extracted data copies are then stored and processed, eliminating the need to retain original receipt documents while preserving all necessary information for health monitoring
Solution Approach 2:
The system extracts only the relevant information from receipts (purchase items, dates, locations, amounts) and separates it from the original receipt document. This extracted data is then utilized for health correlation while the original receipts can be discarded, reducing storage requirements
3Adaptability or versatility
If personalized recommendations are generated, then user engagement improves, but system complexity increases
Solution Approach 1:
The system employs a multi-functional platform that handles receipt capture, OCR processing, data extraction, health correlation, and recommendation generation within a single integrated architecture. This universal system manages multiple complex tasks through coordinated modules, reducing overall system complexity while maintaining personalized capabilities
Solution Approach 2:
The patent divides the complex recommendation system into distinct functional modules: receipt processing module, data extraction module, health correlation module, and recommendation generation module. Each module handles a specific aspect of the process, making the overall system more manageable and easier to implement while delivering personalized recommendations
Data Source
AI summary
Methods and systems disclosed herein facilitate users to capture, manage, and use receipt data, and use the information identified in the receipts in multiple receipt data use applications. Examples of such applications are generating customized recommendations for healthier items of consumable goods or services (e.g., food or beverage) based on correlating a user's purchase habits with the user's health-related data that is monitored by a wearable device, determining insurable items from receipt line item data, creating spending forecasts geared towards budgeting and saving, facilitating donations to charities based on a percentage of price of one or more items in receipt line data, and other applications that utilize receipt data.