Home / Alternatives to MS SHIFT Apps Like MS SHIFT for iPhone and iPad
by Ori Zur ★ 0.0 0 ratings Business $49.99 Data updated 2026-09-08
Ranked alternatives Showing 861–880 of 1,000 ranked alternatives.
National Center for non-profit Sector
★ 0.0 0 ratings Business Free Data updated 2026-09-06
BitLogic Solutions, Inc
★ 0.0 0 ratings Business Free Data updated 2026-09-06
RCO
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Growy s.r.o.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
QMINIMORE PTY LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Starsoft Giedrius Ladyga
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Worthy Infotech Limited
Track shifts, plan time off, receive alerts
Track schedules and plan time off. Receive smart notifications for upcoming shifts. View history and adjust schedules. Set reminders for breaks and rest days. Sync with and share schedules with team members.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Hitup uk ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Workflowww International Limited
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Workflowww International Limited
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Abdallah Maali
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Techeir IT Services Limited
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Swift Software Solutions Sdn Bhd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Superb Staffing LLC
★ 0.0 0 ratings Business Free Data updated 2026-09-06
SEEDLINGDIGITAL (PTY) LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Push Technologies Inc
★ 0.0 0 ratings Business Free Data updated 2026-09-12
StaffStat Inc.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
YOUNGMINDS TECHNOLOGY SOLUTIONS PRIVATE LIMITED
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Peddler B.V.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
FLEXIGO, INC.
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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