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Algorithm-driven workforce scheduling platform that optimizes labor costs.
• Automates shift scheduling for hourly and frontline workers. • Tracks employee availability and manages time-off requests digitally. • Uses algorithms to optimize labor costs and ensure adequate coverage. • Sends instant SMS notifications to staff regarding schedule changes.
Utilizes automated mathematical algorithm models to construct schedules in seconds Collects shifting worker availability details dynamically across separate profiles Dispatches instant automated text message notifications when schedules are published Lowers total retail labor expenditures by reducing un-optimized shifts Offers a completely open source framework with zero lock-in protocols
Category: Business & Operations
Team Size: 2-10
Visit WebsiteStaffjoy was an automated workforce management and scheduling application designed for small teams within the service, hospitality, and retail sectors. Built around predictive scheduling research, the platform compiled worker availability and business rules to dynamically generate optimal shifts without manual intervention. It enabled seamless communication by letting managers publish timetables online and notify workers via automatic text messages. Following its commercial operations, the entire system architecture was completely open-sourced under permissive MIT licenses.
Staffjoy was co-founded in May 2015 by systems engineering and physics graduates Philip Thomas and Andrew Clayton Hess in San Francisco, California. Stemming from university algorithmic workforce allocation research, they realized retail operators wasted hours drafting manual shift rosters. The company raised institutional capital and scaled its automated scheduling tools before eventually shutting down commercial operations in 2017, choosing to release their complete software repository freely to the global developer community.