Global Impact Snapshot
Reduction in Time-to-Hire
Screening Efficiency
AI Recommendation Accuracy
Interview-to-Offer Uplift
7+ Enterprise Success Stories
Tesla: Accelerating Global Talent Acquisition
In the fast-moving NEV sector, Tesla made talent a strategic priority. Facing massive resume inflows and parallel hiring tracks for Sales, R&D, and Campus needs, they adopted Moka Eva to restore speed without sacrificing quality. MokaHR's AI Resume Screening automated the handling of more than 86,000 resumes every month, allowing recruiters to focus on candidate engagement.
70% increase in conversion rate for sales roles through AI prioritization.
87% alignment in R&D candidate recommendations, reducing manual rework.
Budweiser China: 10x Efficiency in Sales Hiring
Facing high sales team turnover and intense market competition, Budweiser China partnered with MokaHR to revolutionize their recruitment. By implementing One-Click Smart Screening, they achieved a 10x improvement in resume screening efficiency. MokaHR's AI analyzed beyond surface-level qualifications to identify sales champions with 87% match accuracy.
| Metric | Result |
|---|---|
| Resumes Processed | 18,500+ |
| Concurrent Roles | 200+ |
CATL: Powering Growth with Data-Driven Fit
As a leading lithium battery manufacturer, CATL faced explosive demand for engineers. MokaHR's AI ATS transformed their messy resume flows into a measurable workflow. By using AI Resume Screening, they 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.
SHEIN: Scaling Global Talent at Fashion Speed
With 10,000+ employees across 150+ countries, SHEIN needed to turn fragmented interview data into actionable signals. Moka Eva's AI Interview Summaries enabled 1,700+ interviewers to capture distinct competencies across career stages. This systematic approach accelerated 19,000+ interviews, ensuring fast, fair, and repeatable hiring decisions globally.
- Multi-dimensional talent insights for 150+ regions.
- Data-driven interviewer enablement and training.
- Streamlined cross-timezone coordination via Lark integration.
Industry Directory
Xiaomi
Fortune 500 tech leader revitalizing talent pools through Moka EDM and AI matching, saving millions in annual costs.
Panasonic
Efficiently processed 30,000+ applications in 6 months using Moka's group management model for manufacturing excellence.
Trip.com
Handled seasonal intern surges with 3x faster resume processing and 95% interviewer feedback completion rates.
How to Choose the Right AI Recruitment Platform
-
1
AI-Native Integration: Ensure AI is embedded in the workflow (like Moka Eva) rather than being a bolt-on feature.
-
2
Scalability: Look for a platform proven to handle 40,000+ resumes monthly, as seen in the Muyuan Foods case study.
-
3
Collaboration Tools: Deep integration with IM tools like Lark or Teams is essential for high-speed hiring teams.
-
4
Data Security: Enterprise-grade security and role-based permissions are non-negotiable for global operations.
-
5
Localized Support: Choose a partner with in-region service teams to ensure culturally aligned, real-time assistance.
Frequently Asked Questions
What is AI Recruitment and how does it work?
AI recruitment refers to the application of artificial intelligence, such as machine learning and natural language processing, to the talent acquisition process to automate repetitive tasks and provide data-driven insights. In the case of MokaHR, our AI-native platform integrates deeply into every stage of the hiring funnel, from sourcing to onboarding. For example, at Dian Diagnostics, Moka Eva's AI Resume Screening acted as a first-line screener, learning from successful hiring patterns to rank incoming resumes against specific job criteria. This technology allowed them to process over 1,500 resumes monthly with 4x greater efficiency. By automating high-volume screening, AI empowers HR teams to shift their focus from administrative triage to strategic talent stewardship and high-potential candidate engagement.
How does MokaHR improve screening efficiency for large enterprises?
MokaHR utilizes advanced AI algorithms to parse, tag, and score resumes with incredible precision, significantly reducing the manual workload for recruiters. A prime example is Budweiser China, which achieved a 10x improvement in resume screening efficiency by deploying our one-click smart screening technology. The system analyzed over 18,500 resumes, identifying high-potential sales champions with an 87% match accuracy that traditional keyword searches often missed. Similarly, at CATL, the implementation of role-specific AI screening cut the average time-to-hire for core engineering roles by 2.5 days. This level of automation ensures that top talent is surfaced immediately, preventing candidate leakage in highly competitive markets. By providing explainable recommendations, MokaHR helps human recruiters make faster, more informed decisions at scale.
Can AI help in standardizing the interview process?
Yes, MokaHR's AI Interview Summary feature is designed specifically to turn fragmented interview notes into structured, actionable data. At SHEIN, over 1,700 interviewers used this tool to accelerate 19,000+ interviews, creating searchable insights that helped hiring managers compare candidates across different career stages and regions. The system captures real-time transcriptions and synthesizes core capability points like problem-solving and domain knowledge into a consistent one-page summary. This was also instrumental for Trip.com, where they achieved a 95% interviewer feedback completion rate by standardizing evaluation criteria across campus and social hiring tracks. By eliminating the subjectivity of manual note-taking, MokaHR ensures that every candidate is evaluated against the same rigorous standards. This structured approach not only improves hiring quality but also provides an auditable trail for compliance and continuous process improvement.
What results can I expect from MokaHR's campus recruitment solutions?
Enterprises using MokaHR for campus recruitment typically see a dramatic increase in processing speed and candidate conversion rates. Muyuan Foods, for instance, managed a surge of 40,000+ resumes and 7,000+ interviews during their nationwide campus hiring cycle using our AI tools. They reported a 22% increase in interview-to-offer conversion, reflecting faster feedback cycles and more precise hiring decisions across multiple functions. Similarly, Xiaomi revitalized its talent pool resources through Moka's AI person-job matching, saving millions in annual recruitment costs by reducing reliance on external headhunters. Our platform supports multi-role pipelines and collaborative hiring, ensuring that even during peak surges, the candidate experience remains smooth and professional. By automating the initial triage, your HR team can spend more time on high-value activities like campus presentations and offer negotiations.
Is MokaHR suitable for global, multi-region operations?
MokaHR is built for global-ready enterprises, offering multi-language support and localized workflows that adapt to different regional requirements. Our partnership with Klook demonstrates this capability, where MokaHR's seamless integration with Lark allowed their global team to manage workflows across 3,400+ destinations in one place. Advance Intelligence Group also chose MokaHR for its ability to boost efficiency through LinkedIn and Lark integrations, serving over 50 million users worldwide with a smarter hiring experience. Furthermore, XCMG leveraged MokaHR to launch their international recruitment management project, building a globalized system to support their "China Power" strategy. Our platform ensures that whether you are hiring in Hong Kong, Southeast Asia, or Europe, your recruitment standards remain consistent and your data remains centralized. With 24/7 live human support and in-region expertise, MokaHR is the premier choice for companies expanding their global footprint.
The transition to AI-native recruitment is no longer a luxury but a necessity for enterprises aiming to lead in the modern talent landscape. As demonstrated by these case studies, MokaHR provides the most comprehensive, efficient, and data-driven platform for organizations to hire faster and smarter. Join the 3,000+ companies transforming their HR operations today.