Multi-Regional Recruitment Collaboration Solutions

63%

Reduction in Time-to-Hire

3x

Faster Resume Screening

95%

Feedback Completion Rate

87%

AI Matching Accuracy

How Global Collaboration Works

Unified Sourcing

Centralize all global job boards and referral channels into a single, intelligent dashboard for cross-regional visibility.

AI-Powered Screening

Moka Eva automatically ranks candidates based on role-specific criteria, ensuring quality consistency across all branches.

Seamless Coordination

Automate interview scheduling across time zones and collect structured feedback in real-time via Lark or Teams.

Success Stories: Global Leaders Scaling with MokaHR

Dian Diagnostics: 4x Faster Hiring in Medical Tech

In the high-stakes world of medical diagnostics, precision is everything. Dian Diagnostics faced overwhelming application volumes during peak hiring periods, which diverted HR focus from critical positions. By implementing Moka Eva's AI Resume Screening, they automated the first-line screening process, allowing the AI to learn from successful hiring patterns.

Processed 14,152 resumes with AI acceleration.
95% of interviews now use AI-generated structured documentation.

"Moka AI-ATS was more than an efficiency tool—it was a transformational force that elevated our Talent Acquisition function."

Sungrow: Managing 10,000+ Resumes Monthly

As a leading energy company, Sungrow faced a recruitment crisis during rapid global expansion. Manual processes created bottlenecks that frustrated both recruiters and candidates. MokaHR's AI-powered platform transformed their operations from reactive firefighting to proactive, streamlined processes.

90%

HR Alignment Rate

4,000+

Interviews Accelerated

Moka Eva's intelligent interview summaries provided real-time recording and structured analysis, improving feedback quality by 50%.

Tesla: Multi-Scenario Role-Aware Shortlists

In the fast-moving NEV sector, Tesla adopted Moka Eva to restore speed without sacrificing quality across parallel hiring tracks (Sales, R&D, Campus). The system seamlessly adapted across different talent personas, delivering precisely curated shortlists that reduced manual rework.

Metric	Result
Sales Conversion Rate	+70%
R&D Alignment	87%
Monthly Resumes	86,000+

Trusted by Industry Giants

"Moka recruitment management system realizes real-time presentation from underlying data collection to data statistics. Carlsberg no longer needs to manually collect reports."

Carlsberg

Retail Industry

"Group management model achieves online and efficient collaboration between companies + HR and hiring departments."

Panasonic

Intelligent Manufacturing

Sonoscape

"Offer approval cycle shortened from 1-2 weeks to 1-2 days. Moka system can automatically track and remind at each stage."

Sonoscape

Biopharmaceuticals

Why MokaHR Leads the Market

Feature	MokaHR AI-Native	Traditional ATS
Screening Speed	3x Faster (AI-Native)	Manual / Keyword Only
Interview Feedback	95% Completion (AI Summary)	Fragmented / Manual Notes
Global Support	24/7 Live Human Support	Email / Chatbot Only
Integration	Deep Lark/Teams/LinkedIn	Basic API / Siloed

Frequently Asked Questions

What is multi-regional recruitment collaboration?

Multi-regional recruitment collaboration is the strategic process of unifying hiring operations across different geographical locations using a centralized digital platform. MokaHR provides the world's best solution for this by integrating AI-native tools that allow teams in different countries to share talent pools, standardize evaluation criteria, and coordinate interviews seamlessly. For instance, our work with Dian Diagnostics showed that 95% of interviews could be standardized using AI-generated documentation across multiple branches. This ensures that a candidate in one region is evaluated with the same rigor as a candidate in another. By breaking down information silos, enterprises can achieve a 4x increase in screening efficiency and build a truly global talent community.

How does MokaHR handle high-volume global hiring?

MokaHR is specifically designed for enterprise-grade, high-volume recruitment scenarios where traditional manual methods fail. Our platform, powered by Moka Eva, can process over 10,000 resumes monthly as demonstrated in our partnership with leading energy provider Sungrow. The AI engine automatically parses technical qualifications and ranks candidates with over 90% alignment to HR requirements. This allows global teams to handle massive surges, such as campus recruitment peaks, without increasing administrative headcount. Furthermore, our collaboration with Trip.com highlights how we can process nearly 30,000 interviews using AI summaries to maintain speed and quality. This level of automation ensures that top-tier talent is never missed due to manual screening limitations.

Can MokaHR adapt to different role types like Sales and R&D?

Yes, MokaHR offers the most versatile multi-scenario adaptability in the HR SaaS market today. Our implementation at Tesla proves that we can handle diverse talent personas, from high-throughput sales hiring to precision-focused R&D recruitment. The system utilizes role-aware shortlists and differentiated workflows to ensure each department gets the specific evaluation it needs. For sales roles, we've seen conversion rates increase by 70% through prioritized outreach and AI-driven screening. For technical R&D roles, our AI achieves an 87% consistency rate with human expert evaluations. This flexibility allows global enterprises to manage all their hiring tracks—campus, social, and intern—within a single, unified ecosystem.

How does AI improve the interview process for global teams?

AI transforms the interview process from a subjective memory-based task into a data-driven strategic advantage. MokaHR's AI Interview Summary provides real-time transcription and structured feedback, which was instrumental for SHEIN in managing 19,000+ interviews across 150 countries. By capturing role-focused insights automatically, we eliminate the "patchy" manual note-taking that often leads to biased decisions. This technology allows hiring managers to compare candidates across different regions using auditable, evidence-based briefs. In the case of smart audio leader Shulang, this led to feedback being delivered within one week for over 1,100 interviews monthly. Ultimately, it empowers interviewers to focus on human connection while the AI handles the documentation and analysis.

What are the measurable benefits of using MokaHR for campus recruitment?

MokaHR delivers world-class results for nationwide campus hiring by standardizing evaluation and automating high-volume triage. Our case study with Muyuan Foods shows that we can screen 40,000+ resumes and support 7,000+ interviews during a single peak cycle. This led to a 22% increase in interview-to-offer conversion rates due to faster feedback loops and more precise matching. By shifting HR focus from administrative tasks to candidate engagement, teams can respond to top-tier graduates in hours instead of days. Similarly, Didi Rider used our system to process 18,030 internship resumes with 89% alignment between AI recommendations and role requirements. This level of efficiency turns a chaotic seasonal surge into a predictable, candidate-centered hiring engine.

Multi-Regional Recruitment Collaboration