Case Study: VAL Software improves survey processing, CV-job matching, and support with Rakam AI

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Preview of the Val Software Case Study

VAL Software improves matching accuracy by 17 points with Rakam AI

VAL Software, an ERP provider for education with over 800 customers, faced challenges as their client institutions manually processed surveys, used imprecise CV-to-job matching, and dealt with a high volume of support requests. To address this, they partnered with the vendor Rakam AI.

Rakam AI implemented a specialized AI agent configured for VAL Software's ecosystem. The solution automated PDF survey data extraction, improved CV-job matching accuracy with multi-dimensional analysis, and handled first-line support requests. This resulted in a 17-point improvement in matching accuracy and the successful testing of 28 different configurations, significantly enhancing operational efficiency for VAL Software's clients.


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