Cloud-Based Competitive Proposal System for Dynamic Resource Matching

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Solution Overview

Problem

Users face challenges in selecting the most valuable resource for transactions due to the lack of real-time competitive proposals from resource managers, which can lead to suboptimal terms and reduced user satisfaction.

Innovation Solution

A cloud-based competitive proposal service that generates user-specific profiles based on resource needs, preferences, and historic trends, allowing resource managers to compete for user selection through a ranked list of term change proposals, with confidence scores calculated from weighted factors like user preferences, past data, and location.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If resource managers offer fixed terms without real-time adjustments, then resource utilization stability is maintained, but user satisfaction and term competitiveness deteriorate

Engineering Contradiction:

Improveresource utilization stabilityVSAvoidterm competitiveness

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system transforms static resource terms into dynamic, real-time adjustable terms. Resource managers can modify terms based on current user preferences and competitive conditions through the cloud-based platform, allowing terms to evolve from fixed to adaptive while maintaining system reliability through structured proposal evaluation processes.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms where user selections and preferences are continuously monitored and fed back to resource managers. This enables real-time term adjustments based on actual user behavior and market conditions, resolving the contradiction between stability and adaptability through data-driven iterative improvements.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If users manually evaluate multiple resource proposals, then term selection accuracy improves, but time consumption and operational complexity increase

Engineering Contradiction:

Improveterm selection accuracyVSAvoidproposal evaluation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automated self-service evaluation where the cloud-based platform automatically processes, compares, and ranks resource proposals based on user preferences and criteria. This eliminates manual evaluation overhead while maintaining high selection accuracy through algorithmic decision support, significantly reducing time consumption.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical evaluation processes with automated electronic processing systems. The cloud-based platform uses digital algorithms to evaluate and rank proposals, substituting human manual comparison with automated computational processes that achieve both speed and precision in term selection.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If the system collects extensive user data for profiling, then proposal relevance and personalization improve, but data privacy concerns and system complexity increase

Engineering Contradiction:

Improveproposal personalizationVSAvoiddata collection and processing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system applies local quality by collecting and processing only the specific data points relevant to each user's context and preferences. Rather than universally collecting all possible data, the platform tailors data collection to local user needs, reducing overall system complexity while maintaining high personalization effectiveness through targeted data gathering.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS10108996B2Generating communicable linkages for a cloud-based competitive proposal system

Publication Date: 2018.10.23 BANK OF AMERICA CORP

AI summary

Embodiments of the invention are directed to a system, method, or computer program product for generating communicable linkages that collectively provide a cloud-based competitive proposal system. The competitive proposal system generates a user-specific competitive proposal profile containing user preferences, historic trends, and associated resource managers based on information collected from a user and user associated accounts. The competitive proposal system is triggered by the user signaling the system of a proposed transaction. The system requests term change proposals from resource managers that collectively provide a total resource amount required by the merchant to consummate the transaction. The term change proposals are evaluated and ranked by the competitive proposal system before being transmitted as a ranked list to the user device allowing the user to select a preferred term change proposal and complete the transaction.