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Challenge

The manufacturing industry in general suffers from a lack of employees, which directly affects production and consequently revenue. Therefore, an assertive forecast of absenteeism, coupled with proactive action, becomes an essential tool in preventing and containing the problem.

Solution

We have developed multivariate Machine Learning models that learn the main patterns of absentee employees and predict their likelihood next week, given the current data.

With that we have:

Consolidating and making information available to managers

Defining the absentee profile and directing it to the hiring team

Classification by risk of employee absence

-54%

Reduction in the
absenteeism indicator

Gains

+50% reduction in absenteeism

Acting with initiatives aimed at employees most likely to be absent next week

Increase talent retention by 40%

Anticipating possible turnovers and, above all, understanding the real reasons with the help of AI

Improved employee engagement

Real-time control of overtime, propensity to absenteeism, alert services and other personalized attributes

What can we do for
your business?

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