Resource Allocation Dashboard for Cross-System Optimization

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Solution Overview

Problem

Entities face inefficiencies in monitoring and optimizing resource allocations across multiple network-based resource store systems, leading to wasted time, network resources, and computational resources. Additionally, resource allocation advisors lack a comprehensive view of an entity's resource allocations, hindering objective advice, and finding optimal resource allocation strategies is complicated due to the difficulty in identifying suitable comparison entities and translating comparison data into actionable optimizations.

Innovation Solution

A resource allocation optimization system that provides a single interface to view and manage resource allocations across multiple systems, using machine learning and rule-based algorithms to group similar entities, compare resource allocation strategies, and suggest optimizations tailored to specific resource optimization goals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If entities monitor and update resource allocations using multiple separate network-based resource store systems, then resource allocation monitoring is possible, but time and computational resources are wasted due to contacting multiple systems separately

Engineering Contradiction:

Improveresource allocation monitoring capabilityVSAvoidtime spent contacting multiple systems

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent consolidates multiple separate resource store systems into a single unified resource store that provides a comprehensive interface for monitoring and updating resource allocations. This merging eliminates the need for entities to contact multiple separate systems, thereby reducing time and computational resource waste while maintaining complete resource allocation monitoring capability.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The unified resource store is designed to perform multiple functions including monitoring resource allocations, updating allocations, providing comparison data, and generating optimization strategies. This multi-functional approach replaces the need for multiple specialized systems, reducing the time entities spend navigating different interfaces while maintaining comprehensive resource management capabilities.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Loss of information

If resource allocation advisors access multiple separate resource store systems, then comprehensive resource data can be obtained, but computational resources are wasted

Engineering Contradiction:

Improvecompleteness of resource allocation dataVSAvoidcomputational resource waste

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The patent merges multiple resource store systems into a single unified system that consolidates all resource allocation data. This eliminates redundant data retrieval operations across multiple systems, reducing computational resource waste while ensuring advisors have access to complete and comprehensive resource allocation information for all entities.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The unified resource store creates and maintains a centralized copy of all resource allocation data from multiple sources. This centralized copy allows advisors to access comprehensive data without needing to query multiple original systems, significantly reducing computational overhead while maintaining data completeness and accuracy.

Inventive Principle:

Principle #26Copying

3Ease of operation

If entities implement resource allocation strategies without comprehensive comparison data, then resource allocation can be simplified, but optimal strategies cannot be identified

Engineering Contradiction:

Improvesimplicity of resource allocationVSAvoidoptimization capability

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The unified resource store acts as an intermediary that automatically collects, consolidates, and provides comparison data from multiple entities. This intermediary function enables entities to access comprehensive comparison data without manually gathering information from multiple sources, maintaining operational simplicity while enhancing optimization capability through access to crowd-sourced data from similar entities.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12348434B2Resource allocation dashboard and optimization generator

Publication Date: 2025.07.01 WELLS FARGO BANK NA

AI summary

Disclosed in some examples are methods, systems, devices, and machine-readable mediums for resource allocation optimization systems that provide one or more interfaces that display an entity's resource allocation data from multiple sources in a single interface. Also disclosed in some examples are resource allocation optimization systems which provide resource allocation adjustments for an entity to optimize resources toward a resource optimization goal. The resource allocation optimization system groups similar entities using rule-based or artificial intelligence algorithms acting upon entity description data (including in some examples, resource allocation data) obtained from the entity and/or from external network-based services. The resource allocation optimization system uses resource allocation data of entities within a group to provide resource allocation adjustments to entities within the group via improved user interfaces. The resource allocation adjustments are selected to meet one or more resource optimization goals.