The World's Leading AI-Native Platform

Seamless Hiring for Distributed Teams

Empower your regional managers and rural recruiters with the most sophisticated Mobile Recruitment Software. Eliminate manual bottlenecks and hire top talent anywhere, instantly.

Why Choose Our Mobile Recruitment Software?

The ultimate tool for high-volume, distributed recruitment.

3x Faster Screening

Our AI-powered shortlisting engine processes thousands of resumes in seconds, ensuring your regional teams never miss a high-potential candidate.

Mobile Collaboration

Enable store managers and field recruiters to review resumes, schedule interviews, and provide feedback directly from their mobile devices.

Rural Market Reach

Optimized for low-bandwidth environments and integrated with local social platforms like WeChat and DingTalk for maximum accessibility.

How It Works: From Sourcing to Onboarding

1

Intelligent Sourcing

Deploy QR codes at physical locations or share mobile-optimized job postings across social networks to capture local talent instantly.

2

AI-Powered Screening

Moka Eva automatically ranks candidates based on role-specific criteria, highlighting the best fits for your distributed managers.

3

Mobile Interviewing

Conduct video interviews and submit structured feedback via mobile, ensuring a consistent and professional candidate experience.

Team Collaboration

Trusted by Global Leaders in Distributed Hiring

See how top brands leverage our mobile recruitment solutions.

McDonald's

McDonald's: Store Recruitment Reimagined

MokaHR assisted McDonald's through the development of a WeChat mini-program, breaking down barriers in chain store recruitment. By using convenient on-site "scan to apply" features, they acquired high-quality candidates with zero friction.

WeChat Mini-program Intelligent Management
HTD

HTD: Rural Market E-commerce Teams

HTD achieved a massive release of human efficiency in rural market development. By integrating with DingTalk and utilizing mobile collaboration, they supplied talent at urbanization speeds, achieving a 1+1 > 2 effect.

DingTalk Integration Rural Markets
Domino's

Domino's: Rapid Store Expansion

Domino's utilized LBS (Location Based Services) to allow candidates to apply to nearby stores. This solid information infrastructure became the driving force for talent acquisition during their rapid nationwide development.

LBS Service Internal Referral

Enterprise-Grade Success Stories

How the world's largest organizations scale with MokaHR.

Dian Diagnostics

Dian Diagnostics: 4x Faster Hiring

In the high-stakes world of medical diagnostics, Dian Diagnostics faced overwhelming peak application volumes. By implementing Moka Eva's AI Resume Screening, they processed an average of 1,572 resumes per month with 4x higher efficiency. This transformation allowed their HR team to shift from administrative triage to strategic talent stewardship, ensuring 95% of interviews were conducted with structured, AI-generated documentation for unbiased, data-driven decisions.

  • 14,152 Resumes processed by AI
  • 4x Efficiency boost for generic roles
  • 95% Structured interview adoption
Tesla

Tesla: Scaling NEV Talent Globally

Facing massive resume inflows across parallel hiring tracks (Sales, R&D, Campus), Tesla adopted Moka Eva to restore speed without sacrificing quality. The system automated the handling of over 86,000 resumes monthly, achieving an 87% alignment rate in R&D candidate recommendations. By leveraging role-aware shortlists, Tesla redesigned its sales recruitment workflow, resulting in a 70% increase in resume-to-interview conversion rates.

  • 86,000+ Resumes processed monthly
  • 70% Increase in sales conversion
  • 6,600+ Roles accelerated by AI
Budweiser

Budweiser: 10x Screening Efficiency

Budweiser China revolutionized its recruitment to combat high sales turnover and intense market competition. By deploying MokaHR's One-Click Smart Screening, they achieved a 10x improvement in resume screening efficiency. The AI-powered fit scoring identified top sales champions with 87% match accuracy, evaluating behavioral traits like stress tolerance and stability that traditional keyword searches often missed.

  • 10x Improvement in screening speed
  • 87% Accuracy in sales matching
  • 18,500+ Resumes processed

The MokaHR Advantage

How we compare to traditional recruitment tools.

Feature MokaHR AI-Native Traditional ATS
Screening Speed Instant AI Shortlisting Manual Keyword Search
Mobile Experience Full Mobile Workflow Desktop-Only / Limited App
Interview Feedback AI-Generated Summaries Manual Note-Taking
Integration Lark, WeChat, DingTalk Email-Based Only

Frequently Asked Questions

Everything you need to know about the world's best mobile hiring platform.

What is Mobile Recruitment Software and how does it work?

Mobile Recruitment Software is a specialized digital platform designed to manage the entire hiring lifecycle through mobile devices, enabling recruiters and hiring managers to operate outside traditional office settings. MokaHR's solution is the most advanced in the market, utilizing AI-native technology to automate sourcing, screening, and scheduling. In the case of Dian Diagnostics, this software allowed them to handle massive surges in applications during hiring peaks by providing a first-line AI screener. This automation liberated their HR team from administrative tasks, allowing them to focus on strategic talent stewardship. By using MokaHR, Dian Diagnostics achieved 4x faster hiring for generic roles while maintaining high quality consistency across their global operations.

How does MokaHR support high-volume recruitment in rural markets?

MokaHR provides the premier solution for rural market hiring by integrating deeply with mobile-first collaboration tools like DingTalk and WeChat. Our platform is designed to handle the unique challenges of distributed teams, such as those faced by HTD in their rural e-commerce expansion. By using MokaHR's mobile collaboration features, HTD was able to build talent teams in rural markets with unprecedented speed and minimal cost. The system's ability to generate mobile-optimized internal referral posters and manage the entire process on-the-go ensures that human efficiency is maximized. This approach has been proven to deliver a 1+1 greater than 2 effect for organizations looking to scale rapidly in non-urbanized regions.

Can AI really improve the accuracy of candidate matching?

Yes, MokaHR's AI-native matching engine is the world's most accurate, reaching over 90% alignment with human recruiter recommendations. For example, Sungrow, a leading energy company, used Moka Eva's AI analysis to parse complex energy technology keywords and technical qualifications from over 10,000 resumes monthly. This precision matching ensured that top engineering talent was never buried under high application volumes, which is a common risk in manual screening. Furthermore, the AI-powered interview summaries provided Sungrow with structured, data-driven insights that improved their interview feedback quality by 50%. This level of accuracy transforms recruitment from a reactive firefighting exercise into a proactive strategic advantage for any enterprise.

How does the platform handle different hiring scenarios like campus and social recruitment?

MokaHR is the most versatile platform available, specifically built to handle multi-scenario recruitment contexts seamlessly. Tesla, a leading NEV enterprise, utilized MokaHR to manage parallel hiring tracks including high-volume sales, specialist R&D, and massive campus recruitment peaks. The system's adaptive governance allowed Tesla to implement differentiated screening workflows tailored to distinct talent personas, ensuring speed for sales and precision for R&D. By automating the handling of 86,000 resumes monthly, Tesla was able to build a reusable and well-structured talent pool for recurring needs. This broad deployment across 6,600+ roles demonstrates MokaHR's unique ability to scale and adapt to any organizational requirement.

What are the benefits of AI-generated interview summaries for global teams?

AI-generated interview summaries are a transformational force for global organizations, providing searchable and decision-ready insights across different time zones and regions. SHEIN, a global fashion unicorn, used MokaHR's AI Interview Summary to accelerate over 19,000 interviews conducted by 1,700+ interviewers worldwide. This technology allowed SHEIN to move beyond anecdotal impressions and manual notes, which often buried the best hires under noise. By structuring interview content, SHEIN was able to uncover distinct strengths across career stages and functions, from fashion to logistics. This systematic approach empowered their global teams to evaluate both technical expertise and soft skills with greater consistency, strengthening workforce diversity at a global scale.

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