Home / Alternatives to Pick.UP Apps Like Pick.UP for iPhone and iPad
by AWAMER ALSHABAKA ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 701–720 of 1,000 ranked alternatives.
UNKNOWN LEVEL SRL
Restaurant orders and billing from table.
The app functions as a client for POSnet Server, a restaurant management Point of Sale system. Staff can place orders and bill customers directly from tables for improved management.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-28
SMSAMI INC.
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Givex Canada Corp.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Abdul Kaiyum
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LEONARD CHETCUTI
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Rezox Holdings Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SIN HONG YUN PTE. LTD.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mohamed Sandwidi
★ 0.0 0 ratings Business Free Data updated 2026-09-06
BYTIZE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
★ 0.0 0 ratings Business Free Data updated 2026-09-06
MISBAH CHOWDHURY
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Food Mama Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Familiya-RK, s. r. o.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Burrini's Old World Market, Inc.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Blue Mediterraneo LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
IGOR MILANKOVIC PR KOD DOBROG DOMACINA
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BOTANIKER ALCHEMIST S.A.S
★ 4.0 1 ratings Food & Drink Free Data updated 2026-09-06
Mealeo Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DIGITAL RESTAURANT, MCHJ
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tang Bar San Mateo LLC
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
INFO TECH SOFT LIMITED
★ 0.0 0 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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