Automate the pre-selection of profiles
Lettria offers to automate the reading of candidates' CVs and cover letters by using keyword detection present on the applications and related to the desired profile, which allows an initial analysis in relation to the desired skills. This first level of analysis allows us to detect very detailed information, specific to each industry and profession. To provide the best level of detail, the Lettria API is associated with a database of 750,000 words that includes numerous references to the job market (computer languages, diplomas, schools). It is also possible for each user to customize these dictionaries by adding specific notions (requested certifications, addition of specialized schools, etc.).
In addition, the Lettria APIs will be able to compare the experience of each candidate to the type of experience sought for the position by going to the cumulative experience of the candidates, according to their date of graduation and years of experience.
Finally, a matching score can be assigned to each candidate in order to propose to the HR teams the profiles that are most likely to correspond to their search. This way, teams can be sure that all profiles are reviewed and save valuable time that can be dedicated to higher value-added tasks.