Our Clients
Foxconn
Turnover Reduction
Year to date
-3%
Improved Punctuality and Attendance
Year to date
+30%
An A.I. solution was implemented to identify talent at risk of turnover and develop personalized retention strategies. With a centralized monitoring dashboard, they successfully reduced monthly turnover, increased engagement, and optimized recruitment and training costs.
Problem
Foxconn faced high monthly turnover rates, which impacted operational stability and increased recruitment and training costs. Additionally, the company lacked tools to predict employee departures and design effective retention strategies.
Solución
1.
Using artificial intelligence, models were developed to identify employees at risk of turnover before it occurred.
2.
A visual tool enabled real-time monitoring of key talent indicators and allowed for strategy adjustments based on needs.
