Moka Eva Cuts Store Time-to-Hire 75% at 20,000 Locations

Moka AI said its AI recruiting agent, Moka Eva, cut per-store time-to-hire from 15.4 days to 3.8 days at an international coffee and tea chain with more than 20,000 locations. The drop is about 75%. The chain runs its full recruiting process through the agent. Moka Eva sources candidates, screens applications, calls applicants to confirm interest, then runs AI interviews and assessments before sending shortlists to decision-makers. Cost per application fell 60% and manual intervention fell more than 80% compared with the pre-AI process.

Moka Eva applies one rubric to screening and interviews, so the same standard holds across locations. Moka AI said the agent's results align with human reviewers more than 92% of the time. The agent is built for enterprises with distributed hiring operations.

The same standardized approach can run through messaging apps. A global sportswear and sporting goods retailer in Southeast Asia uses Moka Eva to screen candidates and book interviews entirely over WhatsApp, a setup that Moka AI said saves the recruiting team 685 hours a month.

"Speed is the visible part. The real problem is that the same role gets judged differently in every location," said Guoxing Li, co-founder and CEO of Moka AI. "An agent that applies one standard across 20,000 locations makes the outcome measurable, and measurable is what enterprises are now asking us for."