One key HR goal for businesses is to ensure employees have fulfilling careers. To achieve this, HR teams analyze data, such as employee tenure and the reasons for their stay or departure. High attrition rates, for example, can lead to significant costs for BPOs due to the need to recruit, hire, and train new employees. For TDCX, with many employees involved in direct customer interaction, high attrition can negatively impact service quality.

However, with the recent implementation of AI-driven solutions, some of these problems are identified and addressed before they become real issues.

Transforming data into insightful predictions

With TDCX’s AI predictive attrition model and advanced analytics, managers gain real-time insights into their team’s performance and receive proactive alerts when employees reach a career peak, signaling when they are likely in a phase where they seek new challenges.

By analyzing selected variables from multiple systems and assessing both real-time and historical data, managers are able to take timely action to retain top talent and address potential issues before they escalate.

Actionable insights for managers to drive team performance

The insights from TDCX’s AI and analytics tool are ingested into a series of dashboards. They are designed for simplicity but contain rich, personalized information for each team member. The full staff profile, demographics, and tenure, as well as the individual’s performance and HR data, is made available in a single view for managers to consume and thereafter take action.

Based on the profiles and attributes captured by the model, TDCX’s AI can predict resignation tendencies before they become apparent. By analyzing historical data, the model identifies patterns that suggest when an employee might be considering resignation. The accuracy of these predictions is validated by applying the model to previous scenarios and comparing predicted outcomes with actual attrition events. This data-driven approach ensures that managers can proactively address potential issues before they escalate.

Empowering managers to shape the team’s career paths

The effectiveness of the TDCX’s predictive attrition model hinges on the managers’ ability to retain their high-performing staff.  

With this game-changing insight being produced systematically, managers are thoroughly trained to have effective, engaging conversations with their staff.

All such conversations and career-pathing actions are entered into an Action Tracker, a form where the success and ROI of the predictive attrition model can be tracked.

Keeping top talent with predictive insights

TDCX AI predictive attrition model reduces voluntary attrition by enabling managers to be able to proactively intercept potential leavers and have career-defining conversations with high-performing staff.  

In this way, TDCX can retain its top talent and fill critical support and leadership vacancies with only the best caliber of staff.

Discover more about TDCX’s AI and generative AI services on our dedicated page.