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Paycom Launches Machine Learning Technology with Employment Predictor

OKLAHOMA CITY–(BUSINESS WIRE)– Paycom Software, Inc. (NYSE:PAYC), a leading provider of comprehensive, cloud-based human capital management software, launched a sophisticated machine learning (ML) technology with its Employment Predictor technology, giving an employer greater insight into employees at risk of leaving its organization, based on a proprietary algorithm.

“Machine learning solutions like our Employment Predictor are critical for businesses to gain insight into crucial workforce data by identifying which employees are at risk of leaving an organization and helping them discover the ‘why’ behind their potential departure – an important factor for businesses in a competitive job environment, especially considering unemployment rates are near all-time lows,” said Paycom’s founder and CEO, Chad Richison.

This employment analytics technology – available to all Paycom clients – includes departure-prediction trends based on risk factors and scoring of data already within the Paycom system. Employers can use this data to pinpoint potential high-performing employees who may be at risk of leaving, then make educated decisions regarding their most important asset: their human capital.

About Paycom
For 25 years, Paycom Software, Inc. (NYSE:PAYC) has simplified businesses and the lives of their employees through easy-to-use HR and payroll technology to empower transparency through direct access to their data. And thanks to its industry-first solution, Beti®, employees now do their own payroll and are guided to find and fix costly errors before payroll submission. From onboarding and benefits enrollment to talent management and more, Paycom’s software streamlines processes, drives efficiencies and gives employees power over their own HR information, all in a single app. Recognized nationally for its technology and workplace culture, Paycom can now serve businesses of all sizes in the U.S. and internationally.