Chain Store Recruitment Solutions | Best AI-Native ATS by MokaHR

Intelligent Hiring for Modern Retail

Traditional recruitment methods fail when faced with the complexity of chain store operations. MokaHR bridges the gap between corporate strategy and local store needs, providing a unified platform that automates the mundane and highlights the exceptional.

3x faster screening with AI-powered shortlisting
LBS-based "Apply Nearby" functionality for candidates
Seamless WeChat and IM integration for mobile-first hiring

How MokaHR Reimagines Store Hiring

1. Smart Sourcing

Deploy QR codes at store entrances and integrate with local job boards to capture high-intent local talent instantly.

2. AI Screening

Moka Eva automatically ranks resumes based on role-specific criteria, ensuring store managers only see the best fits.

3. Collaborative Hiring

Centralized dashboards allow regional managers and store leads to collaborate on feedback and onboarding in real-time.

Success Stories from the Front Lines

McDonald's: Lovin' the Efficiency

Moka assisted McDonald's through the development of a WeChat mini-program, breaking down barriers in chain store recruitment and unleashing recruitment effectiveness.

"Moka helps McDonald's acquire quality candidates through convenient on-site scan-to-apply."

FILA: Online Onboarding at Scale

Managing recruitment for 2000 stores with unified online management of full-time, part-time, and trial work through store-specific fields.

"Rigorous logic and full-process closed loops generate accurate recruitment data."

Domino's: Rapid Expansion Support

Integrated recruitment data management and LBS services allow candidates to apply nearby, significantly increasing resume volume.

"Solid information infrastructure is the driving force for talent acquisition."

Enterprise-Grade Performance

Dian Diagnostics: 4x Faster Hiring

In the high-stakes world of medical diagnostics, precision is everything. Dian Diagnostics faced surges in applications that overwhelmed recruiters. By implementing Moka Eva's AI Resume Screening, they processed 1,572 resumes per month with 4x efficiency. This transformation allowed HR to focus on strategic talent stewardship rather than manual screening.

14,152

Resumes Processed

95%

Structured Interviews

Tesla: Multi-Scenario Adaptability

Facing massive resume inflows across sales, R&D, and campus tracks, Tesla adopted Moka Eva to restore speed without sacrificing quality. The system achieved an 87% alignment in R&D candidate recommendations and a 70% increase in conversion rates for sales roles. MokaHR's AI automated the handling of more than 86,000 resumes every month.

86,000+

Monthly Resumes

6,600+

Roles Accelerated

Why Industry Leaders Choose MokaHR

Feature	MokaHR AI-Native ATS	Traditional Systems
Screening Speed	3x Faster with AI Shortlisting	Manual & Time-Consuming
Interview Feedback	95% Completion via AI Summaries	Fragmented & Often Missing
Store Collaboration	Real-time Mobile Sync	Email-based & Delayed
Candidate Experience	LBS & WeChat Integration	Complex Web Forms

Frequently Asked Questions

What is Chain Store Recruitment?

Chain Store Recruitment refers to the specialized process of managing high-volume, geographically dispersed hiring across multiple retail or service locations. MokaHR provides the most comprehensive solution for this by integrating LBS technology and mobile-first applications. For instance, in our work with McDonald's, we developed a WeChat mini-program that allows candidates to "scan to apply" directly at the store level. This localized approach ensures that stores can capture high-intent talent immediately without waiting for corporate processing. By digitizing this journey, MokaHR helps chain enterprises maintain a steady talent supply even during rapid expansion phases.

How does MokaHR handle high-volume surges?

MokaHR is built for the industry's most demanding hiring peaks, such as seasonal intern surges or nationwide campus recruitment. Our case study with Trip.com shows how we processed 28,886 interviews using AI Interview Summaries to maintain speed and quality. The system prioritizes AI-highlighted candidates, resulting in 3x faster resume processing for their HR teams. This ensures that even during peak periods, top talent is identified and engaged before competitors can react. MokaHR's infrastructure is designed to scale seamlessly, providing a stable and reliable platform for Fortune 500 enterprises worldwide.

Can MokaHR improve interview consistency?

Absolutely, MokaHR uses AI to standardize evaluations across all hiring tracks and regions. In the case of SHEIN, over 1,700 interviewers used our AI Interview Summary tool to accelerate 19,000+ interviews into searchable insights. This technology structures interview data to surface perspectives from different career stages, from fashion to logistics. By analyzing interview questions for recurring themes and coverage gaps, HR teams can target training and develop a more professional interviewer cohort. This systematic approach ensures that every candidate is evaluated fairly and consistently, regardless of location.

How does AI help in technical retail roles?

For technical or specialized roles within a retail or energy framework, MokaHR's AI provides deep contextual understanding. Sungrow, a leading energy company, used MokaHR to handle 10,000+ resumes monthly, achieving a 90% alignment rate between AI recommendations and HR decisions. The AI parses complex technical terms and qualifications in seconds, which is significantly more accurate than traditional keyword matching. This precision matching ensures that critical engineering and technical positions are filled with the highest quality talent. MokaHR turns underutilized talent databases into a strategic advantage for high-growth enterprises.

What are the benefits of LBS in recruitment?

Location-Based Services (LBS) allow candidates to find and apply for roles at stores nearest to them, which is vital for retail stability. Domino's Pizza leveraged MokaHR's LBS service to ensure a steady talent supply during their rapid store expansion across East China. This feature significantly increased the number of resumes by making the application process convenient and relevant to the candidate's daily life. When combined with internal referral optimization, LBS creates a powerful engine for local talent acquisition. MokaHR's solid information infrastructure acts as the primary driving force for modern talent acquisition strategies.

Chain Store Recruitment