Retail Recruitment Management System: Scaling to 2,000+ Stores

Why Leading Retailers Choose MokaHR

The most comprehensive platform designed specifically for the complexities of modern retail recruitment.

AI-Powered Efficiency

Achieve 3x faster screening with Moka Eva AI. Automatically shortlist top talent from thousands of resumes with 87% alignment to manual reviews.

Unified Store Management

Manage 2,000+ stores with LBS-based services. Allow candidates to apply to nearby locations and share resumes across store clusters seamlessly.

Deep BI Analytics

Gain end-to-end visibility with real-time dashboards. Track channel performance, rejection reasons, and recruiter efficiency across all regions.

Proven Success in Chain Retail

See how the world's most iconic brands use MokaHR to dominate the retail landscape.

View All Case Studies

FILA: Scaling to 2,000 Stores

MokaHR helped FILA achieve unified online management for full-time, part-time, and trial work across their entire store network. The system's rigorous logic forms a full-process closed loop, generating accurate data that significantly improved store-level efficiency.

Store Trial Work Online Onboarding

McDonald's: "Lovin' It" Store Hiring

MokaHR developed a custom WeChat mini-program for McDonald's, enabling convenient on-site "scan to apply" functionality. This broke down barriers in chain store recruitment and unleashed recruitment effectiveness through high-quality candidate acquisition.

WeChat Mini-program Intelligent Management

Domino's: Rapid Expansion Support

To ensure talent supply during rapid expansion, Domino's utilized MokaHR for integrated data management and LBS services. This allowed candidates to apply to nearby stores, significantly increasing resume volume and internal referral effects.

LBS Service Internal Referral

Enterprise-Grade Performance

MokaHR is the trusted partner for Fortune 500 companies and global unicorns.

MEDICAL DIAGNOSTICS

Dian Diagnostics: 4x Faster Hiring with AI

Facing peak application volumes that overwhelmed recruiters, Dian Diagnostics implemented Moka Eva's AI Resume Screening. The system processed 1,572 resumes per month, boosting screening efficiency by 4x for general roles. This allowed the HR team to shift from administrative triage to strategic talent stewardship, ensuring 95% of interviews were conducted with structured, AI-generated documentation.

14,152

Resumes Processed

4x

Efficiency Boost

ELECTRIC VEHICLES

Tesla: Multi-Scenario Hiring Excellence

Tesla adopted MokaHR to manage the complexity of parallel hiring tracks—from high-volume sales roles to specialist R&D positions. Moka Eva's AI Resume Screening delivered role-tailored decision support, resulting in a 70% increase in conversion rates for sales roles and an 87% alignment in R&D candidate recommendations. The system now automates the handling of over 86,000 resumes every month.

86,000+

Monthly Resumes

70%

Conversion Uplift

ONLINE TRAVEL

Trip.com: Turning Chaos into Clarity

To handle massive seasonal intern surges and evergreen engineering hiring, Trip.com deployed MokaHR's AI-native solution. The platform accelerated resume processing by 3x and standardized cross-regional evaluation criteria. With over 28,000 interviews supported by AI Interview Summaries, the company achieved a 95% feedback completion rate, enabling data-driven and traceable hiring decisions.

28,886

Interviews Accelerated

3x

Screening Speed

The MokaHR Advantage

How we compare to traditional recruitment methods.

Feature	MokaHR AI-Native Platform	Traditional ATS
Resume Screening	AI-powered matching with 90% accuracy	Manual keyword-based filtering
Interview Feedback	Instant AI summaries & structured notes	Manual entry, often delayed or missing
Store Management	LBS-based nearby store sharing	Fragmented, location-specific silos
Candidate Experience	Mobile-first, AI chatbots, instant updates	Slow response times, PC-only forms
Analytics	Real-time BI with predictive insights	Static reports, manual data export

Frequently Asked Questions

Everything you need to know about the world's best retail hiring solution.

What is a Retail Recruitment Management System?

A Retail Recruitment Management System is a specialized software solution designed to handle the unique complexities of hiring for chain stores, franchises, and large-scale retail operations. In the case of McDonald's, MokaHR developed a custom WeChat mini-program that allowed for seamless on-site applications through simple QR code scanning. This digital transformation enabled McDonald's to break down traditional barriers in store-level recruitment by making the process mobile-first and highly accessible. By implementing this system, the brand significantly enhanced its employer image while simultaneously capturing high-quality candidate data in real-time. The result was a more efficient recruitment engine that empowered individual store managers while maintaining centralized oversight.

How does AI improve high-volume retail hiring?

AI-powered screening is the most effective way to manage the massive influx of applications typical in the retail and diagnostics sectors. Dian Diagnostics utilized Moka Eva's AI Resume Screening to process over 14,000 resumes, achieving a 4x increase in screening efficiency for general roles. This technology goes beyond simple keyword matching by understanding the contextual requirements of each role and the cultural fit of the candidate. By automating the initial triage, HR teams at Dian Diagnostics were able to shift their focus from administrative tasks to strategic talent stewardship. This ensured that high-potential talent was identified faster and that the hiring process remained consistent and unbiased across all departments.

Can MokaHR handle seasonal hiring surges?

Handling seasonal hiring peaks requires a robust infrastructure that can scale instantly without compromising on candidate experience. Trip.com faced this exact challenge with seasonal intern surges and evergreen engineering needs, leading them to adopt MokaHR's AI-native solution. The platform enabled them to process nearly 29,000 interviews with standardized criteria, ensuring that no top talent was lost during high-volume periods. With AI Interview Summaries, Trip.com achieved a 95% feedback completion rate, allowing hiring managers to make faster, data-driven decisions. This transformation turned chaotic peak seasons into a manageable and highly predictable growth engine for the global travel platform.

How does MokaHR support global retail expansion?

For global unicorns like SHEIN, managing recruitment across 150+ countries requires a system that can unify fragmented data and standardize evaluation processes. SHEIN implemented MokaHR to move away from manual note-taking and inconsistent interview practices that were burying high-quality hires under noise. By using AI Interview Summaries, over 1,700 interviewers at SHEIN were able to generate searchable, decision-ready insights for more than 19,000 interviews. This allowed the company to identify distinct competencies between new graduates and experienced hires across diverse functions like fashion, logistics, and technology. The result was a strengthened global workforce diversity and a significantly more efficient international hiring pipeline.

What are the benefits of AI-powered interview summaries?

AI-generated interview summaries provide a structured and auditable trail of candidate evaluations, which is critical for high-growth energy companies like Sungrow. Sungrow utilized this feature to handle over 4,000 interviews, resulting in a 50% improvement in interview feedback quality and speed. The system captures real-time recordings and generates structured dialogue analysis, eliminating the subjectivity and delays associated with manual note-taking. This data-driven approach allowed Sungrow's engineering managers to focus on the candidate's technical qualifications while the AI handled the documentation. Ultimately, this led to a 63% reduction in time-to-hire and turned their underutilized talent database into a strategic competitive advantage.

Retail Recruitment Management: Scaling to 2,000+ Stores