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 701–720 of 1,000 ranked alternatives.
Ardacan Uckan
★ 0.0 0 ratings Business $17.99 Data updated 2026-09-06
Nyx Systems ApS
★ 0.0 0 ratings Business Free Data updated 2026-09-09
EXISTCO PTY LTD
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Sunpro Inno Apps Pte Ltd
Track sales, manage shifts, update menu items
Access real-time sales reports with daily, weekly, and custom-date options. Track shift performance and staff revenue. Manage menu items by adding, updating, or removing them. Receive instant updates on restaurant performance.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
NIja Technologies FZE
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Hive Quick Response LLC
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Comstice Ltd
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
NextGen Belgium
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
SOOYA PTY LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
AIOAPP INC.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Shifter Verloning Nederland B. V.
★ 0.0 0 ratings Business Free Data updated 2026-09-11
IDENFIT BILISIM HIZMETLERI SANAYI VE DIS TICARET ANONIM SIRKETI
★ 0.0 0 ratings Business Free Data updated 2026-09-06
INTELLIGEN PTY LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Recrutement Timelystaff Inc.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Yevhen Holota
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Unions-America.com, Inc.
★ 0.0 0 ratings Business Free Data updated 2026-09-12
Nostradamus ICT BV
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
GoGMGo Pte Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
3vil Genius Ltd
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Temp All Staffing Ltd
★ 0.0 0 ratings Reference 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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