AI-Driven Predictive Workforce Intelligence System

Core Logic

Manages the seven-phase collaboration workflow: initialization, data gathering, analysis, cross-validation, consensus building, recommendation generation, and finalization. Broadcasts coordination messages, collects agent inputs, resolves dissenting opinions, and synthesizes final recommendations with confidence scores. Tracks overall progress and generates executive-ready reports.

Core Logic

Applies Holt-Winters triple exponential smoothing algorithm to historical data, identifying seasonal patterns (peak/low months), year-over-year growth trends, and client-specific ordering behaviors. Generates demand predictions with confidence intervals, timeline forecasts, and alternative scenario modeling with probability weights.

Core Logic

Analyzes the active candidate database (847+ candidates typically), calculating pipeline health scores, identifying critical gaps by role (e.g., CNC operators -45 vs demand), and assessing recruiting status and time-to-close estimates. Generates pipeline gap reports with risk level assessments and recruiting priority recommendations.

Core Logic

Monitors industry signals (expansion/contraction/hiring freezes), competitor activities (rate changes, client acquisitions), economic indicators (GDP growth, manufacturing PMI, business confidence), and talent flow patterns. Generates actionable insights with urgency ratings and suggested responses to market changes.

Core Logic

Uses machine learning algorithms to score candidates against opportunity requirements across six dimensions: skill match, experience match, location match, availability match, salary alignment, and culture fit. Generates match scores with strength/gap analysis and placement probability predictions with expected tenure estimates.

Core Logic

Tracks all compliance-critical items including certifications (license, work permit, safety training), contract terms, and labor law requirements. Generates alerts for items expiring within 30 days, calculates estimated remediation costs, and prioritizes compliance actions by urgency and revenue impact.

Core Logic

Analyzes current rates against market benchmarks by role, identifies below/at/above market positions, calculates optimal markup percentages, and models seasonal adjustments. Generates pricing recommendations with estimated margin impact and competitive positioning strategies.

Core Logic

Performs cross-validation of predictions, tracks historical accuracy metrics by confidence level, identifies learning trends over time, and validates data quality from multiple sources. Reports prediction outcomes (correct/incorrect/pending) with impact analysis and model improvement recommendations.

Core Logic

Implements multi-factor scoring algorithms combining skill match (25%), experience (20%), availability (20%), location (15%), salary fit (10%), and culture fit (10%). Generates ranked candidate lists with match breakdown details, strengths/gaps analysis, and recommendations (strong fit, good fit, potential fit, not recommended).

Core Logic

Analyzes active contracts for renewal probability, expansion potential (estimated value and additional roles), and competitive threat levels. Compares bill rates against market averages, identifies position (below/at/above market), and generates recommendations with expected revenue impact and rationale for account strategy.