Cadient Unveils New Machine Learning Technology to Redefine How Companies Find and Hire Hourly Workers
MORRISVILLE, N.C. (May 25, 2021)—Cadient, a human resources software company, today revealed its latest technology, which infuses machine learning and augmented intelligence (AI) to help organizations identify and hire employees more efficiently and increase the quality of hire. Cadient Decision PointTM is a recommendation engine that works with any applicant tracking system (ATS) to instantly analyze all applicants and present hiring managers with a short list of top candidates from which to choose.
Thanks to data-driven analytics, which is the foundation of Decision Point, the review of job candidates that used to take hiring managers days to do and, for some candidates, was not done at all, can now be accomplished more effectively in a matter of seconds.
Managers, especially those managing hourly-paid workers, are busier than ever, with hiring being just one of their numerous responsibilities. Hourly employees often depart with little or no notice, necessitating the quick filling of open positions. Availability becomes the top selection criteria rather than company fit. As a result, managers make uninformed decisions, new hires don’t stay as long, and the process starts all over again. This cycle can cost companies up to $4,800 to replace each hourly employee.
Cadient’s Decision Point
Decision Point uses combined machine learning and AI with data analytics to identify candidates, without human emotion or bias, who are most likely to succeed and stay with the company longer. Once they receive the recommendations, managers can focus on the top candidates to fill the position.
By using machine learning and AI, Decision Point identifies the characteristics of a company’s top-performing employees. It applies that learning to the hiring process to find candidates most likely to succeed.
Decision Point is unlike other solutions using AI for recruitment process automation. Those solutions learn to automate the way employers have previously hired. Automation enables hiring managers at companies with high employee turnover to make decisions quickly.
Decision Point automates the recruitment process and challenges the traditional way of making hiring decisions. Its unique feature is that recommendations are based on candidates who have actually become quality hires rather than just automating a suboptimal process.
The result? More quality hires, reduced turnover, decreased operating costs, increased revenue, mitigated bias in the hiring process, and a workforce with greater diversity and inclusion.
Based on extended trial programs, Decision Point is already helping companies make better hiring decisions. For example, a business services firm currently applying Decision Point expects to see significantly improved employee tenure using Decision Point. The firm stands to save tens of millions of dollars annually because of reduced turnover alone. That does not include the benefit of increased revenue due to enhanced customer experience due to a more experienced workforce.
“We’ve collected data from large companies for 15 years, analyzed applicants and new hires, and benchmarked key characteristics that predict success,” said Stuart Nisbet, chief data scientist for Cadient. “Decision Point uses this data to identify candidates with greater potential for high performance.”
About Cadient
Cadient is tailored for high-volume, hourly hiring in industries like retail, restaurants, hospitality, and healthcare. This intuitive and flexible platform provides managers with a constant pipeline of quality candidates. Lastly, Cadient reduces variation and human error, resulting in faster, better hiring and a more productive workforce by streamlining hiring workforces. For more information, visit www.cadienttalent.com.
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