Home / Alternatives to Brigade POS Apps Like Brigade POS for iPhone and iPad
by POSNegroni LLC ★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-09
Ranked alternatives Showing 641–660 of 1,000 ranked alternatives.
Glutton Society LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Faruh Ishimanov
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
FAYA DEV LTD
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-19
David Margalef Mari
★ 1.0 1 ratings Shopping Free Data updated 2026-09-06
Cedcommerce LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Gyan Prakash
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Goutam Majumder
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ORDER SYSTEMS FOR COMMUNICATIONS AND INFORMATION TECHNOLOGY CO.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
West Wind Associates Inc
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Yakot LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SUTO SOLUTIONS INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kappture Ltd
Scan phone or card to pay.
The app allows members to pay for items by scanning their phone or RFID card. Users can also redeem promotions, earn loyalty points, and view statements.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-10
EMCAN-TEC INFORMATION TECHNOLOGY CO. W.L.L
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
iorders Technology Services Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mansur Ilmiev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
VTM VIETNAM J.S.C
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-13
CLUBMAN & HOSPITALITY SOFTWARE SOLUTIONS PRIVATE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-18
Same for You Corp
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SLERP LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Less Eat Inc
★ 5.0 1 ratings Food & Drink 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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