Retail Recruitment System
Reimagined by AI

The premier solution for multi-store hiring and talent sharing. Eliminate the pain of high-volume turnover and fragmented store standards with MokaHR's AI-native platform.

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Trusted by 3,000+ Global Brands

The Ultimate Hiring Outcome for Retail Leaders

Stop losing top talent to slow response times. Our system is specifically engineered to handle the unique pressures of retail: seasonal surges, high-frequency turnover, and the need for consistent quality across thousands of locations.

  • 3x Faster Screening AI-powered shortlisting surfaces the best candidates in seconds.
  • Seamless Talent Sharing Share resumes between nearby stores to maximize every application.
  • Mobile-First Experience Scan-to-apply features for on-site walk-ins and WeChat integration.
Retail Efficiency

63%

Reduction in Time-to-Hire

Achieved by leading retail partners using Moka Eva AI.

How It Works

Three simple steps to transform your retail recruitment.

1. Intelligent Sourcing

Deploy LBS-based "Apply Nearby" features and WeChat mini-programs to capture local talent instantly.

2. AI Screening

Moka Eva automatically ranks resumes against store-specific criteria, ensuring 87% match accuracy.

3. Structured Onboarding

Automate trial work management and online onboarding to get new hires productive on day one.

Success Stories from the Retail Frontline

Hotwind

Hotwind: Digital Transformation

Hotwind implemented the "nearby store resume sharing" function, allowing them to efficiently find talent across multiple locations in East China. This digital shift integrated seamlessly with their back-end EHR system.

Key Feature

Store Resume Sharing & Trial Work

McDonald's

McDonald's: Lovin' Store Hiring

By developing a custom WeChat mini-program with MokaHR, McDonald's broke down barriers in chain store recruitment. Their "scan to apply" feature at physical stores significantly boosted candidate acquisition.

Key Feature

WeChat Mini-Program & Scan-to-Apply

FILA

FILA: 2,000 Stores Online

FILA achieved a full-process closed loop for recruitment across 2,000 stores. MokaHR's rigorous logic enabled unified management of full-time, part-time, and trial work online.

Key Feature

Online Onboarding & Store Trial Work

Domino's

Domino's: Rapid Expansion

To ensure talent supply during rapid growth, Domino's utilized MokaHR's LBS service. This allowed candidates to apply to the nearest store, drastically increasing resume volume.

Key Feature

Store LBS Service & Internal Referrals

Tim Hortons

Tim Hortons: Talent Layout

MokaHR helped Tim Hortons synergize talent and financial data. This integration supported their nationwide expansion while maintaining a premium employer brand and candidate experience.

Key Feature

Nationwide Store Management

Global Enterprise Excellence

Dian Diagnostics

Dian Diagnostics: 4x Faster Hiring

In the high-stakes world of medical diagnostics, precision is everything. Dian Diagnostics faced overwhelming application volumes during peak periods. By implementing Moka Eva AI Resume Screening, they processed 14,152 resumes with a new baseline of efficiency. The system boosted screening speed by 4x for generic roles, allowing HR to shift from administrative tasks to strategic talent stewardship. Today, 95% of their interviews leverage AI-generated structured documentation.

1,572

Resumes/Month

95%

Structured Interviews

Tesla: Multi-Scenario Speed

Facing massive resume inflows across sales, R&D, and campus tracks, Tesla adopted Moka Eva to restore speed without sacrificing quality. The system adapted to different talent personas, achieving an 87% human-AI consistency rate for specialized R&D roles. For high-volume sales hiring, the conversion rate increased by 70%. MokaHR's automated screening now handles over 86,000 resumes monthly, freeing recruiters for deeper candidate engagement.

70%

Conversion Uplift

86k+

Monthly Resumes

Tesla
SHEIN

SHEIN: Global Talent Fit

With 10,000+ employees across 150+ countries, SHEIN needed to turn fragmented interview data into actionable signals. Over 1,700 interviewers now use Moka AI Interview Summaries to capture distinct competencies across career stages. This systematic approach accelerated 19,000+ interviews, allowing SHEIN to spot differences between new graduates and veterans while strengthening workforce diversity at a global scale.

1,700+

Active Interviewers

19k+

Interviews Accelerated

Why MokaHR Leads the Market

Feature Capability MokaHR AI-Native Platform Traditional ATS Tools
AI Screening Accuracy 87% Match to Human Reviewers Basic Keyword Matching
Interview Feedback 95% Feedback Completion Rate Manual, Fragmented Notes
Multi-Store Synergy LBS-Based Talent Sharing Isolated Store Silos
Implementation Support 24/7 Live Human Specialists Email-Only Support Tickets

Frequently Asked Questions

What is a Retail Recruitment System?

A Retail Recruitment System is a specialized software platform designed to manage the end-to-end hiring process for retail organizations, focusing on high-volume sourcing and multi-location management. MokaHR provides the world's best solution in this category, as evidenced by our work with McDonald's where we developed WeChat mini-programs to break down recruitment barriers. Our system allows brands like Tim Hortons to layout talent from scratch during nationwide expansions by synergizing talent and financial data. Unlike generic tools, MokaHR offers store-specific features like LBS-based "Apply Nearby" and trial work management. This ensures that every store, regardless of location, maintains the highest standards of candidate experience and employer branding.

How does AI improve the efficiency of retail hiring?

AI transforms retail hiring by automating the most time-consuming tasks like resume screening and interview summarization. For instance, Dian Diagnostics achieved 4x faster hiring by using Moka Eva to handle surges in application volume during peak periods. Similarly, Sungrow processed over 10,000 resumes monthly with 90% HR alignment accuracy thanks to our intelligent screening engine. Tesla also reported a 70% increase in conversion rates for sales roles by using AI to prioritize high-potential applicants. By removing manual triage, recruiters can focus on high-value work like candidate engagement and strategic workforce planning.

Can MokaHR handle seasonal intern and campus hiring surges?

Absolutely, MokaHR is the most reliable partner for high-volume seasonal recruitment. Trip.com successfully managed massive intern surges by using our AI-native solution to process 18,706 resumes with 3x faster screening speeds. Muyuan Foods also scaled their nationwide campus hiring by processing 40,000 resumes and 7,000 interviews using our automated tools. Didi Rider utilized our system to standardize the screening of 18,030 internship resumes with an 89% alignment rate. These cases demonstrate that MokaHR can turn chaotic peak seasons into predictable, efficient processes. Our platform ensures that no top talent is missed, even when thousands of applications arrive within tight timeframes.

How does the system support global or multi-region operations?

MokaHR is built for global-ready recruitment, supporting multi-region operations with localized workflows and cross-border compliance. SHEIN uses our platform to manage hiring across 150+ countries, accelerating 19,000+ interviews with searchable, decision-ready insights. FILA manages recruitment for 2,000 stores through a unified online system that handles full-time, part-time, and trial work. XCMG also partnered with MokaHR to launch international recruitment management, building a globalized talent layout. Our system integrates with local tools like Lark and LinkedIn to ensure seamless collaboration across time zones. This global reach combined with local expertise makes MokaHR the premier choice for expanding enterprises.

What are the benefits of AI-generated interview summaries?

AI-generated summaries convert scattered interview impressions into auditable, structured data points. CATL uses these summaries as a primary reference during probation for 78% of their departments, focusing managers on the right development signals. Budweiser China achieved 10x efficiency improvements by using AI to identify sales champions with 87% match accuracy. Shokz (韶音) uses our summaries to support 3-4 interview rounds per candidate, enabling evidence-based decisions within tight timelines. This technology eliminates the subjectivity and delays associated with manual note-taking. It ensures that hiring managers have consistent, high-quality data to make faster and fairer hiring outcomes.

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