SURSPARK
Talent supply that
keeps pace with store growth
An AI-powered talent supply chain,helping chain restaurant companies solve frontline talentproblems in sourcing, assessment, and retention.
With chain brands, helping talent arrive before demand
01 · First, Understand the Problem
These three issues often occur together, limiting chain brands' expansion plans
High hiring demand, but insufficient candidate supply.
Job requirements and evaluation standards are inconsistent, making it difficult to reliably identify people who truly fit the brand, role, and team.
From interview to stable employment, candidates continue dropping out during invitation, interview, trial shift, and early onboarding.
Not sure where the problem occurs?Bring a real job opening, and we will assess it together.
Book a Review ↗02 · From Requirements to Stable Onboarding
After the store submits staffing requirements, Instant Staffing collaborates with AI to manage the full process of sourcing, screening, invitations, and onboarding follow-up. Store managers spend less time on repetitive communication, and suitable candidates reach the store faster.
From requirement submission to retention assurance, one connected process moves forward automatically—stores do not need to learn any software.



Confirm brand, position, store, shift, and start date
Continuously source talent and complete preliminary assessment based on position profiles
Track invitations, reminders, interviews, trial shifts, and onboarding milestones
Monitor early performance and retention, continuously optimize delivery standards
AI efficiency plus manual review, end-to-end onboarding support
Learn about Instant StaffingCovering all recruitment scenarios for more efficient and precise talent screening and matching
Learn about Kuaiyue Interview03 · Client Cases
How does Instant Staffing outperform traditional recruitment vendors?
9 anonymous short cases 3 talent gap categories
Image is an industry scenario illustration · not an actual client store
CASE 01 · Instant Staffing4xinterview pass rate compared with beforeScenario illustrationChallengeStore managers screened based on first impressions, so truly stable candidates were often undervalued.
ApproachUse months of accumulated interview attendance, interview, onboarding, and retention results to recalibrate profiles.
resultsInterview pass rate increased to about 4x; 70+ candidates recommended and 20+ hired.
CASE 02 · Instant Staffing70%Screen out mismatched candidates before they arrive at the storeScenario illustrationChallengeHeadquarters standards were not embedded in the front end of recruiting, leaving store managers to handle many ineffective interviews every day.
ApproachWe interviewed over ten store managers and translated rejection criteria into standardized questions, follow-up probes, and risk alerts.
results70% of mismatched candidates were screened out before arriving at stores; managers’ daily interview time dropped from 3–4 hours to under 1 hour.
CASE 07 · Instant Staffing90%14-day retention rateChallengeLong waiting periods for centralized interviews and concerns about off-site trial shifts caused candidates to keep dropping out before arrival.
ApproachBuild a talent pipeline in batches around interview milestones, clarify job conditions in advance, and continuously follow up on trial shifts and onboarding.
resultsStaff arrived in batches; overall interview pass rate reached nearly 80%, with a 14-day retention rate of about 90%.
04 · About SURSPARK
SURSPARK (Chinese name: 星熠智能) serves chain restaurants and the service industry by building an AI-driven talent supply chain. The team turns experience in human resources, chain consumer businesses, AI engineering, product, and corporate strategy into sustainable talent delivery capabilities.
Learn about SURSPARK ↗No need to first decide what type of problem you have or choose a product. Tell us what is happening, and SURSPARK will work with you to identify the next step.