Home / Alternatives to Servus Apps Like Servus for iPhone and iPad
by Servus Technologies Pty Ltd ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 381–400 of 1,000 ranked alternatives.
Sifeddine Lamraoui
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
GOOSE SIA
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Food Depot Supermarket Limited
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
ERRANDLOCAL LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Carpe Noctum Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Grabbzo Enterprises Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ficode Technologies Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Milnes May Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TeqoCloud Oy
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nohaata Seven
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
MEALMASH LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Mohit Mali
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
TABLEGO CO., LTD.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Maple Roots LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Harvest Coffee
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Metacorp N.V.
Earn points and redeem rewards
Create an account to access a loyalty program offering points and rewards for dining at P.F. Chang's, Olive Garden, Starbucks, food court, and market. Book tables at participating restaurants. Earn points for purchases and redeem rewards.
★ 4.8 6 ratings Food & Drink Free Data updated 2026-09-06
CRM.COM Software Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
OSHY PTY LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
All Tiffins
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Incentivio, Inc.
★ 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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