A major company, operating in the field of high-specialization personnel search, needed a tool to quickly filter and screen a large number of resumes, to simplify the screening procedure and improve its ability to match the right talents with client companies.

The challenge was particularly complex due to the large volume of documents received daily, which included CVs from candidates with very diverse skills and professional backgrounds.

Very specific domain skills were therefore needed, which were very difficult to possess, making scouting procedures much more cumbersome and matching less targeted.
Furthermore, the work process was time-consuming, significantly slowing down the recruitment process, creating frustration among both recruiters and candidates waiting for a response.

Our engineers developed software capable of automating the first phase of CV selection through NLP techniques. This system was designed to address the specific challenges of the personnel selection process, improving the efficiency and accuracy of resume screening.
The trained algorithms can segment and analyze the various sections of the resumes and then, following some preset parameters, verify the relevance of the submitted application and apply selection filters.

Following some preset parameters, the system can verify the relevance of the submitted application concerning the specific requirements of client companies.
The software applies selection filters to isolate the CVs that most closely match the sought profiles, discarding those that do not meet the minimum criteria.
This automatic filtering process significantly reduces the workload of recruiters, entrusting them only with the second screening.

Furthermore, thanks to a forecasting model based on neural networks, we made predictive analysis possible, providing projections on the possible career path of each candidate.

The software analyzes the candidates' historical data and predicts their chances of success and growth in certain positions or sectors. The software not only quickly filters talents but also provides valuable insights that facilitate the matching between company and candidate, improving the quality of hires.