Automated Receipt Processing via OCR and Dynamic Configuration
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Solution Overview
Problem
The process of generating expense reports is time-consuming and costly due to the manual collection and processing of physical receipts, requiring employees to enter data multiple times and often involving double-checking by finance teams, with varying company systems and categorization methods across different divisions.
Innovation Solution
An automated system processes images of expense receipts to extract data, generates reports, and feeds this information into existing company systems, using contextual data for customization and integration with accounting systems, reducing manual labor and enabling compliance with company formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry from physical receipts is used, then employees can collect and process expense information, but the process becomes time-consuming and costly
Solution Approach 1:
The patent replaces the manual mechanical process of data entry with an automated image recognition system using optical character recognition (OCR) technology. The system captures receipt images and automatically extracts data fields such as vendor name, date, amount, and category, eliminating the need for employees to manually type information and reducing processing time significantly.
Solution Approach 2:
The system enables self-service by allowing employees to simply photograph receipts with their mobile devices and automatically generate expense reports. The automated data extraction and report generation features eliminate the need for manual data entry and reduce dependency on finance team verification, empowering employees to complete the entire expense reporting process independently.
2Reliability
If multiple people review and verify expense data, then accuracy is improved, but the process becomes more costly and time-consuming
Solution Approach 1:
The system implements automated feedback mechanisms where extracted data is validated against predefined business rules, receipt image quality standards, and company expense policies. The system provides immediate feedback to employees about data quality issues, missing information, or policy violations, allowing for real-time corrections before final submission, thereby maintaining accuracy without requiring multiple manual review cycles.
3Adaptability or versatility
If company-specific formats and categorization systems are used, then compliance is improved, but the system becomes less adaptable to different companies and divisions
Solution Approach 1:
The system employs dynamic configuration capabilities that allow companies to customize data extraction fields, categorization schemes, and report formats according to their specific needs. The platform can adapt to different company structures, expense policies, and reporting requirements through configurable parameters without requiring complex custom development, enabling each division to tailor the system while maintaining a unified core platform.
Data Source
AI summary
Systems and methods of processing expense receipts are provided. Images of expense receipts are received from a user device. The images are processed to obtain receipt information. A list of user expenses is generated based on the receipt information.