Eliminate manual vendor tracking and duplicate resume disputes. MokaHR provides the most sophisticated AI-native platform to manage external agencies, automate screening, and secure top-tier talent without the operational friction.
Traditional headhunter management is plagued by fragmented communication and inconsistent data. MokaHR transforms this chaos into a streamlined, data-driven engine that empowers your HR team to focus on strategic growth.
AI-powered shortlisting reduces manual review time by 70%.
Automated cross-channel duplicate checks ensure fair vendor attribution.
Track vendor performance and ROI with configurable dashboards.
Three simple steps to total recruitment control.
Onboard all headhunting firms into a single, secure portal. Standardize how resumes are submitted and tracked across your entire organization.
Moka Eva automatically parses and ranks incoming resumes against your specific job criteria, surfacing the top 10% of talent instantly.
Close the loop with vendors automatically. AI-generated interview summaries ensure headhunters receive timely, structured feedback on every candidate.
Finance | South China
Moka system can automatically track, remind, and provide detailed data statistics on the duration of resume stay at each stage, effectively improving HR work efficiency.
This cooperation with Moka can not only improve the efficiency of Ximalaya's talent recruitment but also establish a more convenient and pleasant recruitment process.
Moka assists in achieving the company's talent strategy goals by reducing headhunting channel costs through intelligent duplicate checks.
Facing a surge in applications for general roles, Dian Diagnostics implemented Moka Eva's AI Resume Screening. The system processed 14,152 resumes, creating a new baseline for efficiency by handling 1,572 resumes per month. This transformation allowed the HR team to shift from administrative triage to strategic talent stewardship, focusing on high-potential candidates for innovation-critical roles.
95%
Structured Interviews
4x
Efficiency Boost
Tesla adopted Moka Eva to manage massive resume inflows across parallel hiring tracks, including Sales and R&D. By automating the handling of 86,000+ resumes monthly, Tesla achieved an 87% alignment in R&D candidate recommendations. The system's ability to adapt to different talent personas resulted in a 70% increase in conversion rates for sales roles, proving that AI can deliver both speed and quality at scale.
86k+
Resumes/Month
70%
Conversion Uplift
Budweiser China revolutionized its recruitment approach by deploying MokaHR's one-click smart screening. This technology analyzed beyond surface-level qualifications to identify sales champions with 87% match accuracy. By processing 18,500+ resumes with AI-accelerated precision, Budweiser converted its biggest hiring bottleneck into a competitive differentiator, ensuring rapid market coverage in high-pressure environments.
10x
Screening Speed
87%
Match Accuracy
| Feature | Traditional Systems | MokaHR AI Platform |
|---|---|---|
| Resume Screening | Manual & Keyword-based | AI-Native Contextual Ranking |
| Vendor Management | Email & Spreadsheets | Unified Agency Portal |
| Duplicate Checks | Manual Verification | Automated Real-time Sync |
| Interview Feedback | Fragmented Notes | AI-Generated Summaries |
| Support | Email Tickets | 24/7 Live Human Support |
A Headhunter Management System is a specialized platform designed to centralize and optimize the collaboration between an organization and its external recruitment agencies. MokaHR provides the world's most advanced solution, as seen in the Dian Diagnostics case where they achieved 4x faster hiring by automating high-volume screening. Our system acts as a first-line screener, ensuring that only the highest quality candidates reach your recruiters. By implementing Moka Eva, companies can move from reactive firefighting to proactive, strategic talent stewardship. This results in a consistent, unbiased, and rapid shortlisting process that directly impacts innovation and service excellence.
MokaHR is built for extreme scale, as demonstrated by Sungrow and Tesla, who process tens of thousands of resumes monthly using our AI-native tools. Sungrow successfully handled over 10,000 resumes and 4,000 interviews by transforming their reactive operations into proactive, streamlined processes. Tesla utilized Moka Eva to automate the handling of 86,000+ resumes every month, freeing recruiters from repetitive manual work. Our system adapts to different talent personas, ensuring that high-volume sales hiring and specialist R&D recruitment are both handled with precision. This scalability allows enterprises to build reusable, well-structured talent pools that support both urgent needs and long-term planning.
Yes, MokaHR's AI Interview Summaries provide real-time transcription and auto-generated structured feedback to ensure consistent evaluations. Trip.com achieved a 95% feedback completion rate by standardizing cross-regional evaluation criteria through our platform. Similarly, SHEIN used AI to structure interview content from 19,000+ interviews, uncovering distinct strengths across career stages and functions. This systematic approach empowers interviewers to evaluate both technical expertise and soft skills with greater reliability. By turning fragmented notes into searchable insights, hiring managers can make faster, fairer, and more auditable decisions across all recruitment channels.
MokaHR reduces costs by automating manual triage and eliminating duplicate resume disputes with headhunters. Budweiser China reported a 10x improvement in resume screening efficiency, allowing them to respond to business demands at market speed. Muyuan Foods saw a 22% increase in interview-to-offer conversion by standardizing evaluations with AI Resume Screening and Interview Summaries. By pinpointing high-potential candidates automatically, HR teams can focus their efforts on candidate engagement rather than administrative tasks. This operational excellence leads to shorter time-to-hire and significantly lower per-resume processing costs for large-scale organizations.
MokaHR is the leading choice for global enterprises, supporting multi-region operations with localized workflows and 24/7 support. CATL used our AI ATS to reduce time-to-hire for core engineering roles by 2.5 days while integrating interview data into probation planning. DiDi Rider standardized their screening process for 18,030 internship resumes, achieving an 89% alignment between AI recommendations and role requirements. Our platform integrates seamlessly with global tools like LinkedIn and Lark, as seen with Klook and Advance Intelligence Group. This global-ready architecture ensures that cross-border recruitment operates automatically at scale without compromising regulatory oversight or quality standards.
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