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Sprockets is an AI-driven hiring and workforce management platform built specifically for businesses that employ hourly and frontline workers, such as those in quick-service restaurants, home care, and similar industries. The platform uses a behavioral science-based compatibility score to predict which applicants are most likely to succeed and stay in a given role, helping employers reduce turnover and improve quality of hire. Sprockets automates applicant screening and ranking, allowing hiring managers to focus on top candidates without manually reviewing every application. The platform also includes tools for sourcing applicants, managing the hiring pipeline, and integrating with existing applicant tracking systems. By surfacing fit scores based on the traits of current top performers, Sprockets aims to help operators make faster, more consistent hiring decisions while reducing bias and administrative burden. It is positioned as a solution for multi-location operators and franchise businesses seeking to standardize and improve their hourly hiring process.

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Target audience and deployment

  • SMB
  • Mid-market
  • Enterprise
  • Cloud

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Key features

AI-powered applicant fit scoringBehavioral compatibility assessmentAutomated applicant screening and rankingApplicant tracking integrationMulti-location hiring managementTop performer benchmarkingApplicant sourcing toolsHiring pipeline management

Use cases

  • Screen hourly applicants automatically
  • Predict employee retention before hiring
  • Standardize hiring across multiple locations
  • Source frontline job applicants
  • Reduce employee turnover in hourly roles

Best for

  • HR managers who need to efficiently screen high volumes of hourly job applicants
  • Franchise operators who need to standardize hiring quality across multiple locations
  • Operations leaders who need to reduce frontline employee turnover