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Leading Pharmaceutical Chain
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August 28, 2025
Personnel cost savings
4 min read
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A leading pharmaceutical chain with over 10,000 employees faced a high annual turnover rate of 30%, directly impacting costs and operational efficiency.



The Challenge
The challenge was to reduce employee turnover and improve sales team performance. The company needed to accurately identify profiles with the highest likelihood of resignation or absenteeism, as well as analyze key factors affecting productivity and personnel costs.
Specific Objectives
- Reduce employee turnover.
- Optimize personnel management.
- Increase sales productivity.
- Lower operational costs.
Phases
Phase #1
Predictive turnover algorithm
Achieved 93.75% accuracy, designed to anticipate the likelihood of resignation in the coming months.
Phase #2
Risk profile identification
Detection of employees with the highest probability of absenteeism.
Phase #3
Sales performance optimization
Analysis of variables such as ticket size and product profitability to improve productivity.
Results
Initiative 1
Annual savings of USD 2,3M due to reduced employee turnover.
Initiative 2
Risk profiles identified, enabling preventive retention plans.
Initiative 3
Increased sales productivity, driven by decisions based on advanced analytics.
Conclusion

This project demonstrates how the use of artificial intelligence and data analytics enabled the pharmaceutical chain to optimize personnel management, reduce operational costs, and improve commercial performance, consolidating a competitive advantage in the sector.