Dynamic Interest Allocation System for Time-Based Fund Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for managing fund movements and interest calculations across multiple institutions are inefficient, as they lack a comprehensive method to dynamically allocate funds and calculate interest based on time dimensions, leading to suboptimal interest rates and increased operational costs.
Innovation Solution
A system and method that access electronic databases to aggregate account information, allocate funds across participating institutions based on time dimension interest rates, and calculate interest for source and client accounts, allowing for dynamic interest rate adjustments and optimized fund management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If funds are allocated across multiple institutions using traditional methods, then interest rates are fixed and simple to calculate, but the system lacks flexibility and cannot optimize returns based on holding periods
Solution Approach 1:
The patent implements dynamic interest rate allocation where rates change based on the time dimension (holding period). The system automatically adjusts interest rates for different time buckets (e.g., 0-30 days, 31-60 days, 61-90 days, 90+ days) rather than using a fixed rate, allowing the system to adapt to varying fund retention periods and optimize returns accordingly.
Solution Approach 2:
The system changes the interest rate parameter based on the time dimension. Different interest rate parameters are applied to different time buckets, allowing the system to optimize returns by assigning higher rates to longer holding periods. This parameter change approach enables flexible interest allocation while maintaining systematic control through automated calculations.
2Measurement precision
If the system tracks time dimension data for all deposits, then interest calculations become optimized and accurate, but data processing requirements and computational overhead increase
Solution Approach 1:
The patent segments the continuous time dimension into discrete time buckets (e.g., 0-30 days, 31-60 days, 61-90 days, 90+ days). Each bucket is tracked separately with its own interest rate parameter. This segmentation approach maintains precise tracking of fund holding periods while simplifying calculations by using standardized time intervals rather than continuous computation.
Solution Approach 2:
The system implements partial tracking by focusing only on the essential time dimension data needed for interest calculation (deposit date, time bucket assignment) rather than tracking every transaction detail. This partial action approach provides sufficient precision for interest optimization without the excessive computational overhead of comprehensive transaction-by-transaction analysis.
3Productivity
If the system dynamically adjusts interest rates based on holding periods, then returns are optimized, but the allocation process across institutions becomes more complex
Solution Approach 1:
The patent implements a universal allocation framework that handles multiple functions through a single systematic approach. The same time-bucket methodology is applied across all participating institutions and all fund allocations, providing a multi-functional system that can handle different institutions, different time periods, and different rate structures through a unified process. This universality improves efficiency by eliminating the need for institution-specific allocation procedures.
Solution Approach 2:
The system incorporates feedback mechanisms where interest rate allocations are automatically adjusted based on actual fund holding periods. The time dimension data provides feedback on fund retention, which triggers automatic recalculation and reallocation of interest rates in subsequent periods. This feedback loop optimizes returns dynamically while the automated nature of the process manages complexity through systematic rules rather than manual intervention.
Data Source
AI summary
A method, system and program product, the method comprising: accessing, electronic databases, comprising: (i) aggregated account information for a plurality of government backed-insured and interest-bearing aggregated deposit accounts held in a plurality of program institutions; and (ii) source institution deposit information; obtaining transfer data, by a source institution; obtaining time dimension interest rate data, wherein the time dimension interest rate varies depending on how long the deposit has been held in one or more other of the recipient institutions participating in the program; allocating the deposit funds to one or more other of the recipient institutions; generating data for instructions to deposit/transfer funds and/or to withdraw/transfer funds; calculating a respective interest amount for funds of the respective source institutions, based on time dimension interest rate for the period of time; and generating data for allocating interest.