How Moka HR's AI speeds hiring at a leading NEV (new energy vehicle) enterprise

In the fast-moving NEV sector, this client made talent a strategic priority. Facing massive resume inflows, parallel hiring tracks (sales, R&D, campus/interns,etc.) and heavy manual screening, the company adopted Moka Eva to restore speed without sacrificing quality. After deployment the client reported clearer, faster hiring decisions across scenarios — especially in high-volume sales hiring and specialist R&D recruitment — while building a reusable talent pool for recurring campus and intern needs.

The Challenge:Recruiting scale and complexity were outpacing the HR team's capacity.

• High-volume inflow — Tens of thousands of resumes from multiple channels overwhelmed screening capacity and delayed recruiter response.

• Role-specific complexity — Sales demanded fast, high-throughput screening while R&D required deep, specialist evaluation; a single screening approach couldn’t serve both.

• Fragmented workflows — Campus peaks, urgent short-term internshiphiring and scattered social recruitment throughout the year ran on disconnected processes, causing slow decisions and candidate leakage.

The Solution: Depolying Moka Eva’s AI Resume Screening delivers role-tailored decision support across diverse recruitment scenarios.

• Multi-scenario role-aware shortlists —Powered by Moka Eva, the client developed differentiated screening and routing workflows tailored to distinct talent personas and recruitment contexts.High-volume sales positions utilized streamlined bulk processing, while specialist R&D roles received precision-focused evaluation. The system seamlessly adapted across campus recruitment (targeting fresh graduates), social recruitment (experienced professionals), and internship programs, enabling recruiters to optimize outreach strategies for each scenario while delivering precisely curated shortlists that reduced manual rework and enhanced hiring-manager handoffs.

• AI Resume Screening with adaptive governance — The client leveraged Moka Eva to balance automation and control—implementing parsing, tagging, and classification workflows enhanced with manual oversight.Reusable talent pools and scenario-specific search templates enabled rapid candidate rediscovery across different hiring contexts, while enforced multilingual capabilities and compliance frameworks ensured cross-border recruitment operated automatically at scale without compromising regulatory oversight or quality standards.

The Results: Faster, cheaper, and higher-quality hiring achieved

Through this AI-driven recruitment practice, the NEV enterprise achieved remarkable improvements:

• 70% increase in conversion rate for sales roles:The client redesigned its sales recruitment workflow by using AI to prioritize candidate outreach and focus screening on high-potential applicants. This allowed recruiters to engage the right candidates more quickly, resulting in a 70% higher resume-to-interview conversion rate and a faster flow of qualified talent into interviews.

• 87% alignment in R&D candidate recommendations: For highly specialized R&D positions, the client applied AI-generated shortlists enriched with role-specific tags and confidence signals. HR teams approved 87% of the candidates from these lists, demonstrating the reliability of AI Resume Screening in reducing unnecessary re-screening and accelerating hiring decisions.

• 86,000+ resumes processed with automated resume screening:By shifting initial parsing and tagging to AI, the client automated the handling of more than 86,000 resumes every month. Recruiters were freed from repetitive manual work and redirected their efforts toward candidate engagement and deeper evaluation, significantly increasing overall efficiency while lowering per-resume processing costs.

• 6600+ roles accelerated by AI automated resume screening:the client extended AI Resume Screening to more than 6,600 open roles, spanning sales, R&D, campus programs, and internships. This broad deployment demonstrated the scalability of the solution and enabled the client to build a reusable, well-structured talent pool that supported both urgent hiring needs and long-term workforce planning.

Conclusion: AI transforms recruitment into growth enabler

In talent-intensive industries, HR must deliver both speed and quality. By leveraging AI for intelligent screening and global-ready recruitment operations, this NEV enterprise transformed its hiring into a true growth enabler. The partnership with Moka Eva illustrates how AI can empower recruiters worldwide—from campus to C-suite, and from local to global—to build high-performing teams faster, smarter, and more inclusively.