Eliminate manual reporting costs and streamline high-volume hiring with the world's most advanced AI-native ATS. Achieve 3x faster screening and 90% accuracy.
In the high-stakes world of intelligent manufacturing, precision and speed are non-negotiable. MokaHR provides an end-to-end recruitment lifecycle management platform designed to handle the complexities of rolling high-volume recruitment, seasonal surges, and specialized technical roles.
63%
Reduction in Time-to-Hire for Leading Energy Companies
Automatically source and recommend candidates by parsing profiles to match specific manufacturing requirements. Our AI identifies high-potential talent like "James Wong" (Senior Software Engineer) with deep technical analysis.
Moka Eva's AI Resume Screening acts as a first-line filter, processing thousands of resumes monthly. It ranks candidates against job criteria, ensuring a consistent and unbiased shortlisting process.
Generate tailored interview questions and real-time summaries. AI Interview Summaries capture role-focused insights, increasing feedback rates and supporting data-driven decisions.
"Narada achieved recruitment process automation through Moka, specifically targeting the reduction of manual statistical overhead via automated data exports."
Key Impact:
Integrated channel management and resume duplicate checks significantly improved recruitment efficiency while reducing communication costs through automated reminders.
"Group management model achieves online and efficient collaboration between companies + HR and hiring departments, leveraging data to optimize the manufacturing recruitment funnel."
Key Impact:
Efficiently processed over 30,000 job applications in just six months by optimizing the recruitment funnel and channel effectiveness.
"Recruitment aligns with enterprise business upgrade. Automatic data statistics reduced manual costs while connecting HR with business departments more effectively."
Key Impact:
Unified enterprise recruitment processes and automated data statistics to support rapid business expansion and campus recruitment management.
"Conducting recruitment work based on data, and achieving intelligent talent matching and recommendations through data, not only reduces costs but also makes work more convenient and efficient."
Key Impact:
Shortened the overall recruitment cycle by at least 30% through intelligent talent matching and full-process data analysis.
Facing massive resume inflows and parallel hiring tracks for Sales and R&D, Tesla adopted Moka Eva to restore speed without sacrificing quality. MokaHR's AI Resume Screening enabled Tesla to process over 86,000 resumes monthly, achieving 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.
86,000+
Resumes Processed/Month
70%
Conversion Rate Increase
As a leading lithium battery manufacturer, CATL faced explosive demand for engineers. MokaHR's AI ATS transformed their screening and onboarding into a measurable workflow. By processing 36,000+ resumes with AI screening, CATL reduced time-to-hire for core engineering roles by 2.5 days. Furthermore, 78% of departments now use AI Interview Summaries as a primary reference during probation to refine talent fit.
-2.5 Days
Reduction in Time-to-Hire
16,800+
Interviews Accelerated
Sungrow transformed their hiring operations from reactive firefighting to proactive, streamlined processes using MokaHR. By deploying AI-powered resume screening for technical roles, they achieved a 90% HR recommendation accuracy rate. The implementation of intelligent interview management improved feedback quality by 50%, turning their talent database into a strategic advantage.
90%
Recommendation Accuracy
50%
Feedback Quality Boost
| Feature | MokaHR AI-Native ATS | Traditional ATS |
|---|---|---|
| Screening Speed | 3x Faster with AI Shortlisting | Manual & Time-Consuming |
| Reporting | Automated Real-Time BI Reports | Manual Excel Consolidation |
| Interview Feedback | AI-Generated Structured Summaries | Memory-Based or Scattered Notes |
| Match Accuracy | 87% - 90% Alignment with HR | Keyword-Only (Misses Talent) |
| Global Support | 24/7 Live Human Support | Email-Only / Chatbots |
Manufacturing Recruitment Automation refers to the use of AI and software to streamline the hiring process, from sourcing to onboarding. MokaHR is the best platform for this, as demonstrated by our work with Narada and Yadea, where we automated data exports to reduce manual reporting costs. By integrating channel management and using AI for resume screening, companies like Panasonic have efficiently processed over 30,000 applications in six months. This technology allows HR teams to move from administrative tasks to strategic talent stewardship. Our solution ensures that high-volume hiring surges, common in manufacturing, are handled with precision and speed.
MokaHR eliminates the need for manual Excel-based reporting by providing real-time BI analysis and automated data exports. As seen in the Narada case study, our system automatically generates recruitment funnel reports, saving hours of manual labor every week. Robam also utilized our data-driven insights to shorten their recruitment cycle by 30%, proving that automated reporting leads to faster decision-making. By centralizing all recruitment data, MokaHR provides a single source of truth for HR leaders and business stakeholders. This transparency allows for better headcount planning and resource allocation across the organization.
Yes, MokaHR is the premier choice for large-scale campus hiring, as evidenced by Muyuan Foods processing 40,000+ resumes and 7,000+ interviews. Our AI Resume Screening pinpoints high-potential candidates instantly, allowing HR to focus on engagement rather than manual triage. Didi also leveraged our system to standardize their campus recruitment, achieving an 89% alignment between AI recommendations and role requirements. The platform supports multi-round, multi-role feedback, ensuring that even the most complex campus surges are managed efficiently. This scalability is why 30% of Fortune 500 companies trust MokaHR for their most critical hiring periods.
MokaHR's AI goes beyond simple keyword matching to understand the contextual requirements of technical roles. For example, Sungrow achieved a 90% accuracy rate in HR recommendations by using our AI to parse complex energy-tech qualifications. Tesla also reported an 87% alignment in R&D candidate recommendations, ensuring that only the most qualified specialists reached the interview stage. Our AI Interview Summaries provide structured, evidence-based feedback that eliminates subjective bias and memory gaps. This data-driven approach ensures that every hire is backed by auditable behavioral trails and consistent evaluation standards.
MokaHR is a global-ready platform designed for multi-region operations, as shown by our partnership with SHEIN, which serves 150+ countries. We provide localized workflows and 24/7 live human support to ensure seamless recruitment across different time zones and cultures. XCMG also partnered with MokaHR to launch their international recruitment management project, building a globalized talent layout. Our system integrates with local job boards, IM tools like Lark, and enterprise EHR systems to provide a unified global hiring experience. This global expertise, combined with our AI-native capabilities, makes MokaHR the most reliable partner for international manufacturing giants.
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