Retention Prediction

Predict employee attrition using AI to improve retention and reduce turnover costs

Business impact

• Employee Retention Rate — Increases by identifying employees at risk and applying retention measures
• Turnover Rate — Decreases as predictive insights help prevent unwanted departures
• Productivity — Improves by maintaining experienced employees and reducing disruption
• Cost of Employee Turnover — Lowers due to fewer replacements and onboarding expenses

Data requirements

• HR Records (Structured) — Provide structured employee data such as tenure, salary, and overtime
• Employee Surveys (Text) — Capture textual feedback and satisfaction indicators

AI methods and techniques

• Predictive AI — Used to forecast likelihood of employee attrition based on historical data

AI models and model families

Random Forest, Logistic Regression, Gradient Boosting Machines, GPT-4

Industries

Real-world evidence

1 documented case study on record.

Companies using this: IBM.