Home / Alternatives to POS S(Lite) Apps Like POS S(Lite) for iPhone and iPad
by CenHo Co., Ltd. ★ 3.0 1 ratings Business Free Data updated 2026-09-14
Ranked alternatives Showing 321–340 of 1,000 ranked alternatives.
FZEX ENTERPRISE
★ 0.0 0 ratings Business Free Data updated 2026-09-06
WithWine Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-13
Tobiz Network Sdn Bhd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Kyuil Sim
★ 0.0 0 ratings Business Free Data updated 2026-09-09
Table Needs, Inc.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Nino Mijac
★ 0.0 0 ratings Business Free Data updated 2026-09-18
TRANSACTIONS AND PROMOTIONS INC.
★ 0.0 0 ratings Business Free Data updated 2026-10-08
ArrowSys s.r.o.
★ 0.0 0 ratings Business Free Data updated 2026-09-10
T3ZZ LIMITED
★ 5.0 1 ratings Business $49.99 Data updated 2026-09-06
mohammad alialebraheem
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Yoco Technologies PTY LTD
★ 3.0 1 ratings Business Free Data updated 2026-09-06
Bryan Joseph King
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Payment Logistics Limited
POS system from Payment Logistics
The app is a point-of-sale system from Payment Logistics. It links to the Paygistix gateway for transaction processing.
★ 1.0 2 ratings Business Free Data updated 2026-10-19
Flowquid LLC
★ 5.0 2 ratings Business Free Data updated 2026-09-06
Quetzal Project Partners Inc.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
BTB SOFT INC
★ 1.0 1 ratings Business Free Data updated 2026-09-18
Francisco Garcia
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Agiliron Inc.
Sell more in more places.
The app is a cloud-based iPad and iPhone point of sale system. It enables businesses to manage product inventory and pricing for each store through a unified back-office.
★ 1.0 1 ratings Business Free Data updated 2026-10-17
KEMNU INC.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Sitoo AB
★ 3.0 2 ratings Business Free Data updated 2026-09-09
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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