AI Case Studies

 

HR

Profet AI assists HR departments in standardizing workforce planning, enhancing flexibility, and optimizing construction costs to avoid project delays. By analyzing employee performance and turnover data, it helps develop more effective training and retention strategies.

Application Scenarios

Parameter Recommendation, Workforce Demand Forecasting, Anomaly Detection

Employee Turnover Rate Prediction Analysis

Employee turnover is a crucial metric in HR management. High turnover rates lead to increased recruitment and training costs and decreased efficiency. The departure of senior employees can result in the loss of expertise and skills.

Pain Points Analysis:

  • Increased Recruitment Costs: Hiring new employees requires significant time and money, including advertising, resume screening, interviewing, and onboarding training. 
  • Increased Training Costs: New employees need a period of training to become competent, and high turnover means continuous resource investment in training, increasing costs.

Outcome Benefits:

  • Targeted Retention Measures: By analyzing employee turnover risk factors, targeted measures can be taken to retain employees, increasing retention rates by 12%. 
  • Reduced Recruitment Costs: Higher retention rates reduce the need for recruitment, lowering costs by 15%.

Engineering Workforce Optimization

Accurate workforce planning in engineering projects can improve efficiency, reduce costs, and prevent delays. However, traditional methods often rely on manual experience and simple statistical analysis, making it difficult to accurately predict demand, leading to resource waste or delays.

Pain Points Analysis:

  • Low Forecast Accuracy: Relying on manual experience and simple analysis makes it hard to accurately predict future workforce demand. 
  • Lack of Flexibility: Traditional methods based on experience struggle to quickly adjust workforce planning to accommodate changes in project progress.

Outcome Benefits:

  • Increased Flexibility: Using models to predict workforce demand based on project progress increases planning flexibility. 
  • Optimized Workforce Planning: Optimizing workforce allocation reduces labor costs by 8% and lowers the risk of project delays by 17%.