Dynamic Resource Allocation System for Liquidity Management
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Solution Overview
Problem
Existing systems for resource allocation fail to consider future scheduled transactions, leading to deficiencies in resource pools, and rely on static data assumptions that may not accurately represent a user's resource liquidity position.
Innovation Solution
A system that dynamically allocates resources by determining a projected resource availability based on a resource model and batched historical data sets, including recurring and non-recurring allocations, to provide a quantitative assessment of the resource liquidity position, allowing for user-configurable timeframes and exclusion of certain transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static resource allocation based on current balance is used, then simplicity of operation is maintained, but resource liquidity position accuracy deteriorates
Solution Approach 1:
The system performs preliminary analysis of future scheduled transactions before presenting allocation options to users. By pre-calculating the impact of prospective allocations on future resource availability, the system provides accurate liquidity position assessments without requiring complex manual calculations from users.
Solution Approach 2:
The system introduces an intermediary computational layer that processes historical data, scheduled transactions, and prospective allocations to generate projected resource availability. This intermediary layer translates complex multi-factor calculations into simple, actionable insights for users.
2Measurement precision
If future scheduled transactions are considered in resource allocation, then resource liquidity position accuracy is improved, but computational complexity increases
Solution Approach 1:
The system segments resource allocation into distinct time periods (current period, future periods with scheduled transactions, and periods beyond). By dividing the analysis into manageable temporal segments, the system reduces computational complexity while maintaining accuracy for each segment.
Solution Approach 2:
The system performs preliminary organization and categorization of scheduled transactions by time period and type before executing allocation calculations. This pre-processing step structures the data in a way that simplifies subsequent computational operations.
3Loss of information
If near-real-time resource availability projections are provided, then user decision-making quality is improved, but processing time increases
Solution Approach 1:
The system updates resource availability projections at periodic intervals rather than continuously recalculating from scratch. By leveraging previously computed results and adjusting for new information, the system maintains near-real-time accuracy while reducing processing time.
Solution Approach 2:
The system performs preliminary calculations of resource availability for standard time periods and transaction patterns, storing these results for rapid retrieval and adjustment when users make allocation decisions.
Data Source
AI summary
Systems and methods of dynamic resource allocation. The system may include a processor and a memory coupled to the processor. The memory stores processor-executable instructions that, when executed, configure the processor to: receive a signal representing a resource allocation request; determine a projected resource availability based on a resource model and a second data set including at least one data record unrepresented in batched historical data sets, the batched historical data sets including data records representing at least one of recurring or non-recurring resource allocations, and wherein the resource model is prior-trained based on the batched historical data sets; and generate an output signal for displaying the projected resource availability corresponding with the resource allocation request.