Neural Network Bid Platform for Multi-Source Quote Selection
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Solution Overview
Problem
Existing systems require multiple platforms for managing bids and quotes, leading to inefficiencies in processing resources, data storage redundancies, and user experience, particularly for consulting and law firms billing by the hour.
Innovation Solution
A single full-service platform utilizing a neural network to analyze and compare bids, integrate data from multiple sources, and provide features like real-time bidding, secure payment, and collaborative document editing, while optimizing processing resources and reducing data redundancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple platforms are used for managing bids, quotes, work performance, invoicing and payment, then functional capabilities are comprehensive, but processing resources are consumed significantly and data storage redundancies occur
Solution Approach 1:
The patent merges multiple separate platforms (bid management, work performance tracking, invoicing, payment processing) into a single integrated platform. This consolidation eliminates data redundancies across systems, reduces processing resource consumption, and streamlines workflows while maintaining all necessary functional capabilities through unified modules that communicate via standardized APIs.
Solution Approach 2:
The integrated platform is designed with multi-functionality, where a single system can perform bid solicitation, proposal evaluation, work assignment, progress tracking, invoicing, and payment processing. This universal platform serves diverse functions through configurable modules, eliminating the need for separate specialized systems and reducing overall system complexity.
2Adaptability or versatility
If multiple platforms are used for managing bids and quotes, then functional capabilities are comprehensive, but data storage redundancies occur
Solution Approach 1:
By consolidating data management into a single platform with a centralized database, the system eliminates duplicate data storage that occurs when multiple separate systems maintain their own data copies. The unified data architecture ensures single source of truth for bid information, client data, and transaction records, significantly reducing storage requirements.
3Ease of manufacture
If separate applications are used for bid management and work performance tracking, then specialized functionality is available, but user experience is degraded due to navigation through multiple applications
Solution Approach 1:
The platform provides specialized functionality for bid management, work tracking, invoicing, and payment processing within a single unified interface. Users access all these specialized functions through one consistent user experience framework, eliminating the need to navigate between multiple separate applications while maintaining the expertise and specialized capabilities of each function.
Data Source
AI summary
Systems and methods of training a neural network to retrieve bids for a service from a plurality of external service providers are disclosed herein. In an embodiment, the method includes collecting data relating to a plurality of bids for a service, retrieving data from one or more public data sources for a plurality of external service providers, receiving a selection of at least one of the plurality of bids, creating a first training set comprising data regarding the accepted bid, training the neural network in a first stage using the first training set, creating a second training set comprising data regarding others of the plurality of bids for the service, and training the neural network in a second stage using the second training set.