Beeline Recognized with 2019 BIG Innovation Award

Software provider honored for technologies to engage skilled talent and create a more competitive workforce

Beeline, a global leader in software solutions for managing the contingent workforce, announced that it has been named a winner in the 2019 BIG Innovation Awards presented by the Business Intelligence Group.

“We’re thrilled to receive this award as recognition of our efforts to digitally transform the way talent is engaged and managed,” said Colleen Tiner, Senior Vice President of Product Management at Beeline. “With industry experts predicting that 40 percent or more of the world’s workforce will be non-employees within two years, we are committed to giving our clients the technology they will need to compete and succeed in the new world of work.”

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For 20 years, the leading software solution for managing non-employee labor has been the vendor management system (VMS). With its ability to automate the contingent staffing process, Beeline VMS facilitates the sourcing and management of all types of non-employee labor. By introducing innovative technologies into its VMS, like artificial intelligence, predictive analytics, and direct sourcing and talent pools, Beeline provides the foundation for total workforce optimization – determining the right mix of employees and non-employees for greater business agility.

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“This year’s winners show just how deep a role innovation plays in nearly every aspect of the business,” said Maria Jimenez, chief operating officer of the Business Intelligence Group. “We are thrilled to be honoring Beeline as they are leading by example and making real progress in improving the daily lives of so many.”

Organizations from across the globe submitted their recent innovations for consideration in the BIG Innovation Awards. Nominations were then judged by a select group of business leaders and executives who volunteer their time and expertise to score submissions.

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SOURCE Beeline

BeelineBIG Innovation AwardBusiness Intelligence GroupNEWSVMS.
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