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HomeCase StudiesAI Workforce Analytics — US Fortune 500 (28,000 Employees)
AI AUTOMATIONHR & WorkforceGlobal

AI Workforce Analytics — US Fortune 500 (28,000 Employees)

Attrition prediction 84% accuracy | Retention savings $8.4M | Manager effectiveness scores live
16 weeks

The Problem We Were Brought In To Solve

US Fortune 500: 22% annual attrition costing $42M in replacement costs. No predictive capability — HR acting after resignations.

How Revino Delivered

AI workforce analytics: attrition prediction model, engagement pulse (bi-weekly NLP on team sentiment), manager effectiveness scoring.

Measurable Business Impact

Attrition prediction: 84% accuracy at 90-day horizon
High-risk talent retained: 34%
Retention savings: $8.4M Year 1
Manager effectiveness: live scores for 1,200 managers
Engagement pulse: automated bi-weekly
PythonNLPLLMPostgreSQLReactAWSWorkday API
HR & Workforce Management IndustryAI Automation & AnalyticsAI & ML Engineering
KEY METRICS
84%
Attrition prediction
$8.4M
Retention savings
34%
High-risk retained
1,200
Managers scored
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