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Case study card:
Automate many parts of your hiring processes
Now, more than ever, candidate applications are through the roof. Companies are overwhelmed with the number of applications and are therefore unable to screen all CVs manually.
Training advanced machine learning - convolutional neural networks, we scored future candidates based on captured (/past) lookalike profiles. We used a number of informational sources (such as online profiles and written applications) to analyse the appropriateness of a given applicant for a specific role.
This candidate-to-company matching provided the online recruitment agency a degree of automation so their staff were more efficient in delivering their clients effective human resource.
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