Moka AI Reports 75% Reduction in Per-Store Time-to-Hire with Moka Eva Across 20,000-Location Network

Source: BusinessLine· cuelive· August 14, 2026
Moka AI Reports 75% Reduction in Per-Store Time-to-Hire with Moka Eva Across 20,000-Location Network
SynaBot summary

Moka AI's new system, Moka Eva, has significantly cut hiring times for retail positions. The AI tool streamlined the application and evaluation process across a vast network of 20,000 locations, achieving a 75% reduction in how long it takes to fill a role.

Key takeaways

  • Moka Eva AI significantly speeds up retail hiring.
  • Achieved 75% faster time-to-hire across 20,000 locations.
  • AI streamlines applicant tracking and evaluation.
  • Potential for improved HR efficiency and candidate experience.

Why it matters

This development is crucial for businesses relying on AI for HR functions. It demonstrates how advanced AI can drastically improve efficiency in high-volume hiring, potentially freeing up human resources for more strategic tasks and improving the candidate experience.

This story was reported by BusinessLine. Read the full original article:
Read on BusinessLine

Try this on SynaBot

Related AI assistants, prompts, and tools from the SynaBot catalog.

More in Products & Launches

View all