AI Algorithms Recommend Best Locations for Sourcing Top Talent and How to Bring Employees Back to Work – New IQ Location Optimizer tool enables employers to make data-driven talent location decisions, drive cost savings, and navigate the now normal of remote work
ORLANDO, Fla.—Workforce Logiq, a global provider of AI-powered workforce intelligence, technology, and services to large corporations, has filed for three additional patents on predictive AI models, creating its IQ Location OptimizerSM solution. Employers can use the actionable insights to make data-driven decisions on where to source talent and whether or not a remote work arrangement makes sense for a role. The technology speeds the hiring process and expands the available talent pool at the lowest possible cost.
Introducing the @WorkforceLogiq IQ Location Optimizer. The actionable insights enable data-driven decisions on where to source #talent and whether #remotework arranagements make sense for specific roles. Check it out:
The IQ Location Optimizer leverages the three new AI-powered algorithms to help employers understand how location decisions impact talent quality and costs before they make an offer. The models include:
- Geo-Selection EngineSM: Prioritizes the best locations from which to recruit talent, given the job description and other employer-specific requirements. Recommendations will be based on geo-specific talent supply and demand gaps, salary profiles, willingness to engage with the company, existing office locations, quality of life metrics, local commuting patterns, and more.
- Remote Role RecommenderSM: Determines whether a certain role should be staffed on site, near remote (with commuting access to an existing office location), or in a fully remote arrangement. The model will consider the employer’s corporate culture, role requirements, and industry and similar role benchmarks.
- Role Collaboration IndexSM: Identifies the frequency and importance of collaboration with coworkers to ensure successful delivery of projects and tasks for similar type roles.
As employers begin to emerge from what Gartner has called the “world’s largest work-from-home experiment,” remote work is now expected to be the most influential workforce legacy of the COVID-19 pandemic, according to a new survey from The Conference Board. Eighty-three percent of organizations expect an increase in the amount of work conducted remotely following the global health crisis. This outlook is supported by large multinational employers, including Facebook, which expects 50% of its workforce to be remote in the long term, and Twitter, which announced employees can work from home permanently.
“The workplace has fundamentally changed. Employers are increasingly open to making remote workers a core part of their talent strategy. Remote flexibility expands talent pools, provides access to critical skillsets, boosts employee satisfaction and retention, and when implemented with an MSP and RPO, can lower costs by finding high-quality talent in less competitive markets,” said Jim Burke, Workforce Logiq’s CEO. “We’ve strategically expanded our predictive analytics portfolio to help clients get their employees back to work faster, in an arrangement that is safe, productive, and designed to take advantage of the now normal of remote work.”
“The best data science delivers simple insights to complex questions. Location-based hiring decisions will increasingly be a key value driver in today’s volatile labor market, impacting cost, culture, and organizational performance,” said Dr. Brooks Holtom, senior associate dean, McDonough School of Business, Georgetown University. “Workforce Logiq’s new location optimization tool will provide data-driven clarity, real-time guidance, and a competitive edge to hiring managers as they scale their teams post-pandemic.”
Workforce Logiq has filed for twelve patents in the past eighteen months. The location optimization workflows are based on the company’s proven data science, designed and built by its internal development team and highlighted in a Harvard Business Review article co-authored by Dr. Holtom, a Workforce Logiq science advisor.
“Our investments in data science are focused on driving tangible, practical outcomes for clients. Employers need actionable intelligence that can be used to build and sustain an effective and resilient talent pipeline,” said Dr. Christy Whitehead, Workforce Logiq’s Chief Data Scientist and Talent Economist. “Our new AI-driven algorithms deliver optimized recommendations, based on over a billion applicable data points, that help employers make faster, smarter, and more cost-effective workforce decisions in today’s hyper-uncertainty.”
The initial release of Workforce Logiq’s IQ Location Optimizer will launch in July for U.S.-based organizations. The new tool is designed to be fully automated and integrated into Workforce Logiq’s MSP, RPO, and self-sourcing solutions, offering clients a complete portfolio for workforce hiring, planning, and execution across contingent and full-time roles.
Learn more about the now normal of remote work and get an early look at the Workforce Logiq IQ Location Optimizer in our preview video.
About Workforce Logiq
Workforce Logiq, a global provider of AI-powered workforce intelligence, technology, and services to large corporations, enables organizations to win and retain the talent they need to grow. With clients in 50+ countries, Workforce Logiq provides expert guidance, real-time and predictive analytics, and patented and award-winning technologies. Workforce Logiq’s universal sourcing solution addresses all elements of its clients’ acquisition and retention programs, including full-time (RPO), contingent (MSP), and freelance/“gig” (FMS) workers. Backed by global investment firm The Carlyle Group, the company helps clients attain greater management, performance, and financial control over their talent supply chains.