返回榜单
Bartab: Point of Sale (POS)

Bartab: Point of Sale (POS)

Johan Forsell

Food & Drink免费v2.4.1
App Store
评分

4.1

16 条评分

星级

★★★★☆

最近更新

2026年5月12日

发布日期

2022年2月19日

更新内容

v2.4.1

This version moves Bartab from account-required and paywalled to a freemium model, essentially replacing the 7-day trial with a sales based limit on free tier accounts and allowing use without creating an account first. Accounts can still be created to facilitate preserving data between install and sharing data across devices. The following methods are now available for sign in: - Email and password - Apple OAuth - Google OAuth The update also holds minor UX improvements for the balance update screen and some other places across the app.

应用信息

开发者
Johan Forsell
分类
Food & Drink
价格
免费
版本
2.4.1
App ID
1602993704

简介

Are you running events where your guests have running tabs? Have an establishment with regulars? Tired of managing everyone's balance in a spreadsheet? Then Bartab is the app for you. With Bartab you can: • Set up your menu with items and prices, and track inventory with low-stock alerts. • Update a guest's balance directly with each purchase — individually or for multiple guests at once. • Manage your list of guests, with manual adjustments for special expenses or paying off tabs. • Send balance notification emails to guests, and generate professional receipts and invoices in PDF format. • Configure sales tax — set whether your prices are tax-inclusive or exclusive, with tax breakdowns on all documents. • Track sales statistics by date, weekday, and item. • Works seamlessly across iPhone and iPad, synced in real time across all your devices — and keeps working even with a poor connection or completely offline. Icons created by Freepik - Flaticon https://www.flaticon.com/free-icons/dialogue Terms of Use: https://bartab.info/termsandconditions Privacy Policy: https://bartab.info/privacypolicy

下载量预测

专业 · 预览

预估总下载量

1K8002K
保守估计乐观估计

15

低 / 月

23

预估 / 月

44

高 / 月

基于16 条评分
假设评分率1.4%
应用年龄52 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。