Dynamic Value Allocation Bypassing Internal Ledgers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current computing systems face delays and resource inefficiencies in value transfer processing due to the internal recording of transactions in a clearing or working account, which leads to latency and increased system resource consumption.
Innovation Solution
A method and system for dynamically allocating value transfers in real-time directly to multiple database records associated with recipients, bypassing the need for an intermediate record, by intercepting notifications and applying allocation rules based on priority rankings and optimization expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If value transfers are recorded in an internal ledger before transfer to external records, then the system can track and manage transfers centrally, but this results in delay in reaching an end state and consumption of internal system resources and memory
Solution Approach 1:
The patent extracts the value quantity directly from the notification and places it into the ultimate destination database record(s) without retaining it in an internal ledger. This eliminates the intermediate storage step that causes latency while maintaining transfer tracking through direct recording in the destination record.
Solution Approach 2:
The system performs allocation decisions in advance by determining the destination database record(s) and allocation proportions before the transfer is complete. This preliminary determination of where to allocate values eliminates the need for subsequent internal ledger operations and reduces processing latency.
2Reliability
If value transfers are recorded in an internal ledger, then centralized control and tracking are achieved, but internal system resources and memory are consumed
Solution Approach 1:
The patent removes the internal ledger component entirely from the value transfer process. Instead of extracting and storing values in an internal ledger, the system directly allocates values to destination database records, eliminating the consumption of internal system resources and memory associated with maintaining an internal ledger.
Solution Approach 2:
The system creates a direct record of the transfer in the destination database record rather than maintaining a separate internal ledger copy. This eliminates redundant data storage and reduces memory consumption while preserving transfer tracking capabilities through the destination record itself.
3Ease of operation
If manual or scheduled transfer from internal ledger to external records is used, then system control over transfer timing is maintained, but productivity and speed of value allocation are reduced
Solution Approach 1:
The system automatically allocates values to destination database records based on pre-configured allocation rules and priority rankings without requiring manual intervention or scheduled batch processing. This self-service automation maintains system control over allocation logic while dramatically increasing value allocation speed and productivity.
Solution Approach 2:
The patent implements dynamic, real-time value allocation based on current allocation rules and priority rankings rather than static, pre-scheduled transfers. This dynamic approach allows the system to maintain control over transfer timing while achieving immediate value allocation, thereby increasing productivity without sacrificing operational control.
Data Source
AI summary
Methods and systems for dynamically allocating amounts amongst a plurality of database records associated with recipients for value transfer processing. The system intercepts received value transfer notifications and determines an allocation of the value quantity to two or more recipient accounts without first writing the value quantity to an internal ledger user record associated with the recipient. The allocation may be based on a priority ranking of accounts determined by the system based on allocation rules. The allocation rules may be based on internal recipient data and/or external third-party data. The priority ranking may be partly based on projecting inflows and outflows from the user records over a window of time and applying an optimization function.