~54,000 frontline hires. Recruiter productivity up 20%. Third-party labor spend down 33%. This is how Advantage Solutions built an integrated frontline operating system — and what it took to get there.

Advantage Solutions is a Fortune 1000 company that connects more than 4,000 consumer brands with retailers across North America. With roughly 70,000 employees—nearly 90% frontline, part-time workers operating across 85,000 locations—the company hires approximately 50,000 frontline teammates annually. That volume creates constant pressure: hire quickly, maintain quality, and compete for the same local labor pool as the very retailers Advantage serves.
This Bersin case study, authored by Nehal Nangia of The Josh Bersin Company, examines how Advantage Solutions built an integrated frontline operating system—combining AI-powered hiring, a first-of-its-kind Chief Workforce Officer role, and a geocentric staffing model—to transform the end-to-end frontline experience at scale.
In 2022, Advantage shifted from recruiter-led processes to an agentic AI ecosystem built on Paradox and Appcast. Alix, Paradox's conversational AI recruiting agent, engages candidates 24/7—34% of applicants interact outside business hours—while a dedicated prehire onboarding team ensures human connection at the moments that matter most.
The hiring results in 2025 speak for themselves: ~54,000 frontline teammates hired, recruiter productivity up 20%, time-to-hire reduced by three days, and a 74% offer-to-hire conversion rate.
Beyond hiring, Advantage created a Chief Workforce Officer role to give frontline priorities a dedicated seat at the C-suite table—then built out Workforce Operations to own the entire frontline lifecycle: talent acquisition, onboarding, training, scheduling, safety, and analytics. The company also shifted to a geocentric staffing model via its Boost ACX platform, enabling teammates to work across multiple retailers within a defined geographic area. The result: Boost ACX adoption rose from 38% to 94%, with 85% of events now staffed via AI, an estimated 33% reduction in third-party labor spend, and a 9% year-over-year decrease in safety claims.