Multi-Channel Adapter Thresholds for Transaction Data Latency
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Solution Overview
Problem
Existing transaction systems face challenges in efficiently retrieving and analyzing transaction data across multiple channels without causing latency, which affects processing speed and user analysis capabilities.
Innovation Solution
A multi-channel adapter system that receives and executes API calls based on data retrieval thresholds, such as account thresholds, to selectively retrieve data from interaction channels like ACH and Wire Transfer, optimizing data retrieval to prevent excessive latency and improve processing speed, while allowing user-defined preferences for transaction data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data retrieval requests include a large number of accounts to improve analysis completeness, then the quantity of transaction data increases, but latency increases and processing speed decreases
Solution Approach 1:
The patent segments the data retrieval process by implementing thresholds that divide account requests into manageable batches. The multi-channel adapter evaluates account thresholds and transaction thresholds to split large retrieval requests into smaller, controlled batches, preventing excessive latency while maintaining comprehensive data collection over time.
Solution Approach 2:
The system dynamically adjusts data retrieval based on evaluated thresholds. The multi-channel adapter continuously evaluates account thresholds and transaction thresholds to adaptively control the number of accounts and transactions included in each retrieval request, optimizing the balance between data quantity and latency in real-time.
2Measurement precision
If data retrieval requests include comprehensive account and transaction data to improve analysis accuracy, then measurement precision improves, but processing time increases due to latency
Solution Approach 1:
The system performs preliminary evaluation of thresholds before executing data retrieval. The multi-channel adapter evaluates account thresholds and transaction thresholds in advance to pre-determine the optimal scope of data retrieval, ensuring analysis accuracy is maintained while avoiding unnecessary latency from excessive data requests.
3Adaptability or versatility
If the system retrieves data from multiple interaction channels to improve versatility, then adaptability increases, but device complexity increases
Solution Approach 1:
The multi-channel adapter serves as a universal component that handles multiple interaction channels (ACH, wire transfer, mobile deposit, internet banking) through a single standardized interface. It universally evaluates account thresholds and transaction thresholds across all channels, simplifying the system architecture while maintaining versatility.
4Productivity
If the system evaluates and applies multiple thresholds to optimize data retrieval, then productivity improves, but device complexity increases
Solution Approach 1:
The multi-channel adapter autonomously evaluates account thresholds and transaction thresholds without requiring external intervention for each data retrieval request. The system self-regulates the data retrieval process by automatically applying evaluated thresholds to control the number of accounts and transactions, improving processing speed while keeping the complexity contained within the adapter component.
Data Source
AI summary
A computer-implemented method includes receiving parameters including an account threshold. The account threshold can define a maximum number of accounts that can be included in a request. The method also includes executing an application programming interface call associated with the request to an interaction channel based on the at least one parameter. The method further includes receiving data that satisfies the parameters in response to the application programming interface call. Additionally, the method includes causing a display of the data at a user interface of a client device. The data can be used by the client device to analyze account activity.