Check Processing Automation via Image Scanning and POS Reconciliation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current check processing methods in retail environments are inefficient and prone to errors, requiring significant human intervention and manual processing, which leads to delays and increased costs, especially in reconciling and depositing checks.
Innovation Solution
Automating the check processing and reconciliation by imaging checks at the point of sale or in the back office, using POS data and OCR software to validate check amounts, and generating electronic images for bank deposit slips, thereby reducing manual handling and enhancing data capture and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual check processing and reconciliation is used, then human intervention is required for each step, but processing efficiency is low and errors increase
Solution Approach 1:
The patent creates electronic images of physical checks and uses OCR to extract data, replacing manual data entry and processing. The system works with copies (images) rather than physical checks throughout the processing chain, enabling automation while maintaining data integrity.
Solution Approach 2:
The patent replaces manual mechanical processing (physical handling, visual inspection, manual reconciliation) with automated electronic systems including image capture devices, optical character recognition software, and computer-based reconciliation systems.
2Measurement precision
If manual reconciliation of checks with POS data is performed, then data accuracy can be verified, but processing time and labor costs increase
Solution Approach 1:
The system performs self-reconciliation by automatically comparing OCR-extracted check data with POS database records. The system validates its own work through automated discrepancy detection without requiring manual verification for each transaction.
Solution Approach 2:
The system provides automated feedback by comparing extracted check data against POS records and immediately identifying discrepancies. This feedback loop enables real-time validation and correction without manual intervention.
3Productivity
If checks are processed manually at each register, then local processing is possible, but centralized processing efficiency is reduced
Solution Approach 1:
The patent merges processing functions from multiple distributed registers into a centralized system. Electronic images and data from all registers are consolidated and processed together at a central location, enabling efficient batch processing and standardized procedures.
Solution Approach 2:
The centralized processing system handles multiple functions including image capture, OCR data extraction, reconciliation with POS data, discrepancy detection, and deposit slip generation, making the system versatile and efficient.
4Productivity
If manual preparation of bank deposit slips is performed, then accuracy can be controlled, but labor costs and processing delays increase
Solution Approach 1:
The system performs preliminary actions by pre-processing check images and extracting data before the actual deposit slip preparation. This advance processing eliminates the need for manual compilation during the deposit preparation stage.
Solution Approach 2:
The system generates electronic deposit slips from check images and extracted data, replacing manual slip preparation. The electronic copies can be directly transmitted to banks, eliminating the need for physical handling and manual data entry.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach minimizes human error, accelerates the check processing cycle, reduces costs, and allows for centralized bank depositing, improving process integrity and reducing treasury costs by enabling early identification of discrepancies and efficient handling of exceptions.
Implementation Method 1
These POS registers also may print the amount of the check that was entered into the POS register on the check and include or associate the read MICR data with other data obtained by the POS register such as the transaction amount
Implementation Method 2
using POS data and OCR software to validate check amounts
Data Source
AI summary
A check processing system and method comprising utilizes an image scanner that produces an electronic image of a check upon scanning of the check. The system and method receive the electronic image of the check from the image scanner, receive point-of-sale data generated at a point-of-sale, determine a monetary value of the check from the electronic image of the check, and reconcile the determined monetary value of the check with the point-of-sale data so that the check is correlated with a transaction that occurred at the point-of-sale.