Extend your software's potential
Time and absence
Streamline the approval process for time and absence registrations with machine learning.
Time and absence
Streamline the approval process for time and absence registrations with machine learning.
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How the API works
The Time Detect machine learning models are trained on historical time and absence data to learn the working patterns of the organisation, department, project, and specific employees. When new registrations are created or changed, the models assess how irregular they are, what fields contributed the most to the irregularity score, and how much they contributed to the total score. When registrations are approved, they’re sent to the models to make sure that they’re continuously learning and keeping up with the working patterns.
In addition to making the approvers more accurate and efficient by providing irregularity scores and explanations for all registrations, the API can also be used by the employees themselves in real time. This is the most efficient way of correcting errors in time registrations.
