Best Recruitment Technology Case Studies

What You Get with AI-Native Hiring

AI-Powered Precision

Achieve 3x faster screening with AI shortlisting that maintains an 87% match rate to manual human reviews, ensuring quality never wavers.

Versatile Scenarios

From high-volume campus surges to specialized R&D recruitment, our platform adapts to over 10 distinct hiring scenarios seamlessly.

Global-Ready Support

Localized workflows and 24/7 live human support ensure your global teams operate with culturally aligned, real-time assistance.

Elite Enterprise Success Stories

Real results from the world's leading organizations using MokaHR.

Electrical Vehicle Industry

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 and R&D, they adopted Moka Eva to restore speed without sacrificing quality. MokaHR's AI Resume Screening enabled Tesla to process over 86,000 resumes monthly, automating initial parsing and tagging. This allowed recruiters to focus on candidate engagement, resulting in a 70% increase in conversion rates for sales roles and an 87% alignment in R&D candidate recommendations.

86,000+ Resumes Processed Monthly
70% Increase in Sales Conversion
6,600+ Roles Accelerated by AI

Medical Diagnostics

Dian Diagnostics: 4x Faster Hiring with Data

Dian Diagnostics, a leading global medical diagnostics provider, faced overwhelming application volumes during hiring peaks. By implementing Moka Eva's AI Resume Screening, they transformed their HR function from administrative response to strategic focus. The AI engine processed 14,152 resumes, creating a new baseline for efficiency. Today, 95% of their interviews leverage structured documentation generated by MokaHR, ensuring evidence-based talent assessment and auditable behavioral trails.

"Moka Eva boosted screening efficiency for generic roles by 4x, liberating our HR team for strategic initiatives like workforce planning."

Consumer Goods

Budweiser: 10x Efficiency in Sales Backfilling

Dominating the Asia-Pacific market required Budweiser to solve high sales team turnover. Traditional keyword screening was missing high-potential "Sales Champions." MokaHR's AI Resume Screening provided one-click intelligence, improving screening efficiency by 10x. The system analyzed behavioral patterns and role compatibility, identifying top talent with 87% match accuracy across 200+ concurrent roles.

Metric	Result
Resumes Processed	18,500+
Match Accuracy	87%

Trusted by Industry Innovators

"Moka helps McDonald's acquire many quality candidates through convenient on-site scan to apply features at the store level."

McDonald's

Chain Retail

Cambricon

"With Moka, data statistics, talent pool activation, and candidate experience have achieved deep-level optimization."

Cambricon

Internet Technology

Kingsoft Cloud

"Talent battles require detailed planning and the use of tools like Moka to improve recruitment efficiency."

Kingsoft Cloud

Cloud Services

Missfresh

"Moka's interactive experience is very user-friendly. HRBPs and interviewers can quickly access the system."

Missfresh

E-commerce

Why MokaHR Leads the Market

Feature	MokaHR AI Platform	Traditional ATS
Screening Speed	Instant (AI-Native)	Manual (Hours/Days)
Interview Feedback	AI-Generated Summaries	Manual Note-taking
Data Accuracy	87%+ Match Rate	Subjective Judgment
Support	24/7 Live Human Support	Email/Ticket Based

Frequently Asked Questions

What are Recruitment Technology Case Studies?

Recruitment technology case studies are comprehensive analyses of how organizations implement advanced software solutions to solve complex hiring challenges. These studies demonstrate the tangible impact of AI-native platforms like MokaHR on key metrics such as time-to-hire, cost-per-hire, and candidate quality. For instance, our work with Dian Diagnostics shows how AI Resume Screening can process over 1,500 resumes monthly with 4x efficiency gains. By examining these real-world applications, HR leaders can understand how to transition from manual triage to a data-driven hiring engine. MokaHR provides the most authoritative collection of these success stories across industries like NEV, Biopharma, and Smart Manufacturing.

How does MokaHR improve high-volume campus recruitment?

MokaHR excels in high-volume scenarios by providing scalable organization and consistent evaluation standards. In our case study with Muyuan Foods, the client successfully processed over 40,000 resumes and conducted 7,000 interviews during a nationwide campus surge. The AI Resume Screening pinpointed high-potential candidates instantly, allowing HR to focus on engagement rather than administrative triage. This streamlined flow resulted in a remarkable 22 percent increase in interview-to-offer conversion rates. Our platform ensures that even during peak surges, every candidate receives a timely and professional experience.

Can AI really match the accuracy of human recruiters?

Yes, MokaHR's AI is designed to augment human judgment with data-driven precision and consistency. In the Tesla case study, the enterprise achieved an 87 percent human-AI consistency rate across complex R&D and Sales roles. The system learns from successful hiring patterns to rank resumes against specific job criteria, reducing the risk of oversight and bias. Budweiser also reported 87 percent match accuracy when identifying high-potential sales champions who traditional keyword screening would have missed. This level of accuracy ensures that your recruitment team spends their time interviewing the most qualified talent available.

How does MokaHR handle global recruitment across different regions?

MokaHR is built for global-ready operations with localized workflows and cross-timezone coordination capabilities. Our partnership with SHEIN, a global fashion unicorn serving 150 countries, demonstrates our ability to scale across 1,700 interviewers and 19,000 interviews. The platform centralizes all candidate data, integrating with tools like Lark and Google Calendar to handle scheduling automatically. AI Interview Summaries provide searchable, decision-ready insights that bridge regional practice gaps and time-zone logistics. This unified approach allows global enterprises to maintain high standards and workforce diversity at a massive scale.

What is the impact of AI on the candidate experience?

AI-native recruitment significantly enhances the candidate experience by providing faster response times and more structured interactions. Trip.com utilized MokaHR to achieve 3x faster resume processing, ensuring top talent didn't slip through the cracks during peak seasons. Our AI Chatbots for candidates provide 24/7 engagement, answering questions about company culture and recommending roles based on resume uploads. By automating repetitive tasks, recruiters at companies like CATL can redirect their efforts toward building meaningful relationships with candidates. Faster feedback loops and transparent processes make MokaHR the best choice for employer brand building.

Recruitment Technology Case Studies for Global Enterprises