Home / Alternatives to MS SHIFT AR Apps Like MS SHIFT AR for iPhone and iPad
by Ori Zur ★ 0.0 0 ratings Business $49.99 Data updated 2026-09-21
Ranked alternatives Showing 821–840 of 1,000 ranked alternatives.
Marcin Kurek
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Arrow Labs FZ-LLC
★ 0.0 0 ratings Business Free Data updated 2026-09-17
Workforce Optimizer Pte Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-24
Workforce Optimizer Pte Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Workforce Optimizer Pte Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Ryan Edwards
★ 0.0 0 ratings Business Free Data updated 2026-09-06
TEE BUSINESS SOLUTIONS PTY LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Coaio Limited
★ 0.0 0 ratings Business Free Data updated 2026-09-06
TERRACOM S. A.
★ 0.0 0 ratings Business Free Data updated 2026-09-10
Prashant Upasani
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Bizimply Ltd.
★ 0.0 0 ratings Business Free Data updated 2026-09-10
Fillo Workforce Limited
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Wisemen IT Solutions Pty Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-14
1000014258 ONTARIO INC.
Book shifts and manage staff schedules
Allows users to manage and fill open shifts by sending notifications to available employees. Managers can view shift details, approve or reject applications, and track availability.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Nuvano Technologies L.L.C S.O.C
★ 0.0 0 ratings Business Free Data updated 2026-09-06
CLUBSHR SOFTWARE SOLUTIONS PTY LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
MBoldend, LLC
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Humyn Technologies Incorporated
★ 0.0 0 ratings Business Free Data updated 2026-09-12
Working Time Solutions Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-17
YOUNGMINDS TECHNOLOGY SOLUTIONS PRIVATE LIMITED
★ 0.0 0 ratings Business 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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