AI Platform for Curated Contractor Work Recommendations
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Solution Overview
Problem
Conventional methods for contractors to find suitable work opportunities and manage projects are inefficient, lacking filtering capabilities and automation, leading to manual and time-consuming processes for searching, bidding, and project management.
Innovation Solution
A platform utilizing Artificial Intelligence (AI) to recommend work opportunities based on contractor preferences and legacy data, automating project management workflows, including bid processing, contract creation, and resource management, with real-time adjustments to ensure project timelines and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If contractors manually search through work opportunities, then they can review all available options, but the process is time-consuming and lacks filtering capabilities
Solution Approach 1:
The patent replaces manual mechanical searching with an AI-based automated recommendation system. The AI engine processes contractor preferences, qualifications, and work opportunity data to automatically generate curated recommendations, eliminating the need for contractors to manually browse and filter through numerous opportunities manually.
Solution Approach 2:
The system enables self-service by automatically performing the search, filtering, and ranking operations that would otherwise require manual intervention. The AI engine autonomously analyzes contractor profiles against work opportunity criteria and generates personalized recommendations without requiring contractor involvement in the search process.
2Extent of automation
If general contractors manually manage project documentation and scheduling, then they can control all project aspects, but the process requires significant setup time and manual adjustment
Solution Approach 1:
The system performs preliminary actions by pre-configuring project management templates, documentation structures, and scheduling frameworks before contractors begin work. The AI engine pre-processes contractor data, legacy information, and project requirements to automatically generate initial project management setups, eliminating the need for manual configuration during project initiation.
Solution Approach 2:
The patent replaces manual mechanical project management tasks with automated AI-driven systems. The AI engine automatically generates project documentation, creates scheduling templates, and coordinates resource allocations based on contractor preferences and project requirements, eliminating the need for manual setup and adjustment of project management elements.
3Adaptability or versatility
If contractors manually adjust project schedules and contracts after delays, then they can respond to changes, but the process requires extensive organization and coordination
Solution Approach 1:
The system introduces dynamics by enabling real-time automatic adjustments to project schedules and contracts in response to delays and changes. The AI engine continuously monitors project status and automatically updates documentation, scheduling, and resource allocations to accommodate changes, providing adaptive project management without requiring manual reorganization.
Solution Approach 2:
The patent implements feedback mechanisms where the AI engine continuously monitors project progress, contractor performance, and external factors, then automatically adjusts project management parameters accordingly. This closed-loop system provides real-time feedback that triggers automatic adjustments to schedules, contracts, and resource allocation, eliminating the need for manual coordination of adjustments.
Data Source
AI summary
The present disclosure provides a platform for providing curated work opportunities. The platform receives contractor bid data comprising information related to work a contractor is interested in performing, and contractor legacy data relating to one or more past work opportunities associated with the contractor. The contractor requests a recommendation of one or more work opportunities for which the contractor should apply. The platform associates the contractor bid data and the contractor legacy data with one or more learned contractor profiles trained by an Artificial Intelligence engine, establishes one or more parameters for assessing the plurality of candidate work opportunities based at least in part on one or more of the contractor bid data or the contractor legacy data, and analyzes each of a plurality of candidate work opportunities based on the parameters. Thereafter the platform provides a recommendation of one or more of the candidate work opportunities to the contractor.