Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; automatically instructing a user electronic device to display a notification indicating that a first fixed schedule associated with a first task resource is available.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; first transforming based on the forecasted data into a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; second transforming based on the forecasted data into a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.