Recruiting

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How A.I. Can Improve a Recruiter’s Productivity

2021-01-24T14:26:50+00:00April 10th, 2020|Categories: Artificial Intelligence, Automation, Case Studies, Matchpoint, Natural Language Processing|Tags: , , , , , |

How A.I. Can Improve a Recruiter's Productivity Although the technology behind A.I. continues to make advancements, the main purpose behind these solutions is still the same.  Automation is the key driver behind most AI/ML projects.  The ability to teach a computer how to perform time-consuming, tedious and repetitive tasks not only increases efficiencies, but decreases labor costs. The staffing and recruiting industry has begun to embrace AI as a way to improve operations and drive more placements.  Major advancements in Natural Language Processing (NLP) have allowed firms to automate a majority of the time spent in screening, matching and engaging candidates, which frees up more of a recruiter’s time.  This allows recruiters [...]

Do You Know Your Staffing Numbers?

2021-01-20T21:15:07+00:00April 7th, 2020|Categories: Analytics, Business Process Management, Data Science, Matchpoint|Tags: , , , , , |

If you were to ask most staffing managers and executives how their teams are performing, most can give you precise numbers of their weekly gross profit, monthly direct-hire fees and average margins, but many have a hard time giving specific details around some of their teams performance metrics.    There are a list of Key Performance Indicators that Staffing Managers should be looking at - Time to Submit, Time to Fill, Submit to Hire Ratio, Cost to Apply, Cost to Place, and several others important metrics.  One reason why many managers do not have a clear picture of these metrics is that the data can sometimes be hard to track depending on [...]

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