Electronic Transaction Encoding for Accurate Fund Tracking
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Solution Overview
Problem
The correlation between the submitted amount and the credited amount in electronic transactions is complicated by transaction fees and varying processing times, leading to inefficient manual tracking and reporting, especially in political fundraising where precise accounting is required.
Innovation Solution
A system and method for tracking, identifying, and encoding electronic transactions that includes a portal, an encoder, a processor, and a report module, which forms a unique code based on transaction data to facilitate tracking and reporting, ensuring accurate correlation of submitted and credited amounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking and reporting of electronic transactions is used, then flexibility and adaptability are maintained, but productivity and accuracy deteriorate due to labor-intensive processes and errors
Solution Approach 1:
The system performs preliminary encoding of transaction data with unique identifiers and correlation codes before the transactions are processed and settled. This advance preparation enables automatic matching later without manual intervention, resolving the contradiction by automating the tracking process while maintaining system simplicity.
Solution Approach 2:
The system creates digital copies of transaction data with encoded identifiers that can be automatically compared and matched against settlement data. This copying approach enables automated tracking and reporting, significantly improving productivity while the standardized copying process actually reduces overall system complexity.
2Loss of information
If transaction fees are deducted before crediting the beneficiary's account, then the correlation between submitted amount and credited amount becomes complicated, but revenue recognition is improved
Solution Approach 1:
The system provides feedback through correlation codes that link the original transaction amount, transaction fees, and credited amount. This feedback mechanism maintains complete transaction correlation accuracy while enabling automated reconciliation, thus improving both information retention and accounting efficiency simultaneously.
Solution Approach 2:
The system adds a new dimension to transaction data by incorporating correlation codes and unique identifiers that track transactions across multiple processing stages. This dimensional expansion preserves complete information about the relationship between submitted and credited amounts while enabling automated tracking, resolving the contradiction between correlation accuracy and accounting efficiency.
3Adaptability or versatility
If various credit card processing networks are used, then transaction versatility is improved, but the time required for fund crediting varies and complicates tracking
Solution Approach 1:
The system employs a universal correlation code structure that works across all credit card processing networks and transaction types. This universal encoding approach maintains versatility in supporting multiple networks while providing consistent tracking functionality, thereby reducing the time loss associated with varying processing times across different networks.
Solution Approach 2:
The system performs preliminary encoding with network-agnostic correlation codes before transactions are processed through any specific credit card network. This advance preparation enables uniform tracking regardless of which network is used, maintaining versatility while eliminating the tracking complications caused by varying crediting times across different networks.
Data Source
AI summary
A system of tracking, identifying, and encoding an electronic transaction. The system includes a portal soliciting electronic transactions, an encoder in communication with the portal, a processor in communication with the encoder and a processing network, and a report module in communication with the processor. The encoder accepts electronic transaction data from the portal, forms a code based on the electronic transaction data, and appends the code to the electronic transaction data to provide encoded electronic transaction data. The processing network authorizes the encoded electronic transaction data to provide authorized encoded electronic transaction data, and the processor receives the authorized encoded electronic transaction data. The report module forms a report based on authorized encoded electronic transaction data.