Backing Manager for Dynamic Resource Request Compliance

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Solution Overview

Problem

The complexity of processing resource requests is exacerbated by diverse and incomplete backing assignment data, leading to challenges in managing backing data modifications and updates, particularly due to the dynamic nature of backing relationships and the lack of dynamic storage solutions in traditional systems.

Innovation Solution

A system comprising a backing data store, a resource chronicle, and a backing manager that retrieves and processes resource values and backing parameters to generate adjustments, accumulate amounts, and compare them against predetermined rules, ensuring compliance and updating the resource chronicle, thereby automating the management of backing for resource requests.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional static storage of backing data is used, then data consistency is maintained, but the system cannot account for the dynamic nature of backing relationships or permit corresponding updates in resource-request data sets

Engineering Contradiction:

Improveability to account for dynamic nature of backingVSAvoidcomplexity of managing backing data modifications

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic storage of backing data that can adapt to changing relationships between backings and resource requests. The system automatically updates backing data when changes are detected, transforming the static storage model into a dynamic one that reflects real-time relationships and modifications in the resource request processing system.

Inventive Principle:

Principle #15Dynamics

2Quantity of substance

If multiple systems and devices provide backing data, then comprehensive backing information is available, but the data is frequently incomplete and lacks corresponding backing-assignment data

Engineering Contradiction:

Improvecompleteness of backing informationVSAvoidmissing backing-assignment data

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The patent merges backing data from multiple systems and devices into a unified backing data store. This consolidation process combines information from diverse sources while maintaining data integrity, ensuring that the unified store contains complete backing information including the previously missing backing-assignment data that is now centrally managed and tracked.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a backing manager as an intermediary component that mediates between multiple data sources and the resource request processing system. This intermediary collects, validates, and standardizes backing data from various systems, ensuring complete backing-assignment data is captured and properly associated with resource requests before processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If concurrent processing of backing data is implemented, then processing efficiency is improved, but identifying and processing backing data becomes complicated

Engineering Contradiction:

Improveefficiency of processing resource requestsVSAvoidcomplexity of identifying and processing backing data

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements feedback mechanisms where the backing manager continuously monitors and detects changes in backing data and resource request data. This feedback loop enables the system to automatically identify when updates are needed and coordinate concurrent processing activities, reducing the complexity of managing multiple simultaneous operations while maintaining high processing efficiency.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS9619840B2Backing management

Publication Date: 2017.04.11 NCINO

AI summary

Techniques described herein relate to integrating processes of resource requests and corresponding backings. More specifically, backing data is assessed to identify a distribution to be used for resource-request processing.