ORO People Solutions pilots talent selection technology
UK based HR consulting and professional recruitment firm ORO People Solutions has successfully piloted ResumeSort, an advanced technology from Silicon Valley that delivers ground breaking improvements in talent selection.
ResumeSort is owned by Textnomics Inc. and was developed by former NASA scientists. It has been licensed to ORO People Solutions for distribution in the UK.
Jim Whelan managing director of ORO People Solutions says, “We have adopted ResumeSort as a new de facto standard both as part of our talent selection service and as a tool for clients to adopt in house. Unlike anything that has gone before it, ResumeSort uses natural language processing and machine learning to automate the reading of CVs very quickly and reliably. We are able to produce short lists for clients much quicker with ResumeSort. At the same time we avoid the inefficiency of using traditional key word search tools and the vast amount of manual intervention that is usually needed to select the most appropriate candidate CVs. We have already proven ResumeSort’s potential value in trials with a number of clients.”
He added, “The potential benefits to clients are enormous. When you consider the improvements in speed and reliability you can easily see the immediate benefits in terms of cost effectiveness and competitive advantage. Furthermore ResumeSort can also help to eradicate poor hiring decisions by providing reliable intelligence right from the start of the sourcing process. In turn we believe a journey can be evolved with clients to achieve better focused selection and talent development resulting in improved post-hire performance and lower attrition.”
Sara Mullen operations director of ORO People Solutions added, “The results we have seen are really amazing with thousands of CVs having been evaluated and ranked against individual job requisitions in a matter of a few minutes to almost perfect accuracy. We have calculated that the automation of CV reading with ResumeSort is at least 250 times faster and 800% more reliable than the equivalent manual processes that until now have always been needed”.