AI for optimized candidate placements in recruitment

AI for optimized candidate placements in recruitment

Recruitment is quickly changing and has become a data-driven enterprise. Robert Walters wanted to take a step to find the best possible future steps for what technology will add. In this process, they wanted to understand their internal data and extract value from data. Analyses of (un)structured data was used in order to gain innovative insights about how to maximize their placements. AI was used to optimize placement probability.

The challenge

- Analyses of (un)structured data to gain innovative insights - Descriptive machine learning to find factors influencing the placement of candidates - Application of predictive AI models in order to predict placements

The solution

- Actionable insights have led to an increase of revenues of more than € 1.3 million per year - Predictive AI models that can predict placements with an accuracy of 90% - Integration of > 10 internal and external systems and datasets

We ignite. We perform. We improve.

We ignite.
We perform.
We improve.

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