Client's challenge
Several consulting agencies assign their consultants to new opportunities at clients. The responsibility of the business unit managers is to screen job offers and CVs to find an ideal match for consultants in their unit. As both the consulting agency, as well as the amount of available offers grow in size, it becomes increasingly more challenging to manually screen and match hundreds of CVs to new job applications. The business unit managers rather spend their time doing more meaningful tasks than manually go through these documents.
The Solution
Our team set up a data architecture to collect, clean and process job offer data and CV data of consultants. Using Natural Language Processing (NLP) and Artificial Intelligence, the recommendation model got trained according to the CVs and business units (domain of expertise). A continuous monitoring got implemented to track performance metrics and retrain the model in production accordingly.
Created impact
By automating the screening process, business unit managers instantly receive job offers that are matched to candidate consultants in their unit. They no longer have to go through endless documents and manually screen/match consultants and offers. This frees up time for the managers who can now focus on more important tasks like sourcing, negotiation, and onboarding.
