A coffee shop ordering app needs a menu with drink options (size, milk, extras), pre-ordering with a pickup time at the counter or curbside, online payment with mada and Apple Pay, a barista screen that shows orders in sequence, an order-ready notification and loyalty points. You can describe all of this to Fanann, which builds the app, database and payments and publishes it as a web and mobile app.
- how to build a coffee shop ordering app
- coffee shop app with pickup and loyalty
- cafe pre order app without coding
- curbside pickup app for cafe
- how much does a coffee shop app cost
How do you build a coffee shop ordering app with pickup?
A coffee shop ordering app with pickup and loyalty solves a problem every Gulf café owner knows: the morning queue, cars waiting outside and regulars you know nothing about. The customer orders on their phone, pays, picks a pickup time and collects a ready drink from the counter or at their car. With an AI app builder you can build this by describing it in plain language, without a development team and without commission on every order.
Delivery platforms such as HungerStation, Jahez and Keeta in Saudi Arabia, or Talabat and Deliveroo in the UAE, are useful for reaching new customers. But the regular who passes every morning on the way to work deserves a direct channel: no commission, their data stays with you and their points live in your app. Treat your own app as a complement, not a replacement. More in AI for restaurants and cafés.
What features does a café app need?
| Feature | Details | Priority |
|---|---|---|
| Menu and options | Categories (specialty, iced, desserts), sizes, milk type, extra shot, sugar, photos | Core |
| Branch selection | Branch list, opening hours and status (open, busy, closed) | Core |
| Pickup time | As soon as possible or a set time, with a cap on orders per 15 minutes | Core |
| Curbside pickup | Car color, plate number and an I'm here button | Important in the Gulf |
| Payment | mada, Apple Pay, cards, STC Pay | Core |
| Barista screen | Orders in sequence with status: new, preparing, ready, collected | Core |
| Notifications | Order confirmed, order ready | Core |
| Loyalty | Points or stamps added automatically on every paid order | Version one or two |
| Reorder | An Order my usual button | Very important for regulars |
| Admin panel | Menu and prices, mark an item sold out, branches, reports | Core |
Menu and modifiers: getting the data right
The part most often built wrong in café apps is the options. A medium oat-milk latte with an extra shot and no sugar is not a new product. It is one product with a set of choices, and each choice may change the price. This simple structure is enough:
- Items: name in Arabic and English, category, base price, photo, availability per branch.
- Option groups: such as Size (one required choice) and Extras (several optional choices).
- Options: such as Large +3 SAR or Oat milk +4 SAR.
- Orders: customer, branch, pickup time, pickup method, status, total, payment status.
- Order lines: item, chosen options, quantity, price at the time of order.
If you also run QR menus on your tables, keep one menu for both channels. The guide to QR menus and table ordering covers that side in detail.
The order journey, from phone to cup
- 1Ordering
The customer opens the app, picks the nearest branch and taps Order my usual or builds a drink with options.
- 2Pickup time
They choose As soon as possible and see a realistic estimate (say 8 minutes), or pick a time. If a slot is full, the app suggests the next one.
- 3Payment
They pay with mada or Apple Pay in one step and receive an e-receipt with a QR code and VAT calculated.
- 4Preparation
The order appears on the barista screen sorted by pickup time, not creation time, so scheduled orders are made on time.
- 5Ready
The barista taps Ready and the customer is notified. For curbside, the customer taps I'm here and their car appears on the screen.
- 6After pickup
Points are added automatically, and the customer can be asked for a quick rating.
The barista screen can be a simple tablet on the counter. What matters is that it is readable from a distance, with large text and options shown so clearly they cannot be misread.
Payments, receipts and loyalty
Paying upfront in a café app is not a luxury. It prevents drinks being made for people who never show up. Payment methods Gulf customers expect:
| Method | Notes |
|---|---|
| mada | The baseline in Saudi Arabia; Apple Pay runs on mada cards |
| Apple Pay | The fastest on mobile and often the favorite for coffee orders |
| Visa and Mastercard | For residents, visitors and the UAE |
| STC Pay | A popular wallet in Saudi Arabia (now part of STC Bank) |
| In-app wallet | Prepaid credit, an idea for version two after checking its requirements |
Setup and gateway details are in accept mada and Apple Pay on your website or app.
Loyalty inside ordering
Because customers sign in and pay inside the app, there is no need for a separate stamp card. Every paid order adds points automatically, and rewards appear as an option in the basket. The full picture is in a loyalty points and rewards app.
A ready prompt to build your café app in Fanann
Build me an ordering app for a specialty café with three branches in Jeddah, Arabic first (RTL) with an English option. Customers sign in with mobile number and OTP, choose a branch, browse a menu with categories (hot coffee, iced, desserts) and customize drinks: size (required, changes the price), milk type, extra shot, sugar. Pickup time: as soon as possible with an estimate in minutes, or a set time, capped at 12 orders per 15 minutes per branch. Pickup method: counter or curbside (car color, plate number and an I'm here button). Payment upfront with mada, Apple Pay and cards, with an e-receipt including a QR code and 15% VAT calculated. A barista screen per branch sorting orders by pickup time with statuses new, preparing, ready, collected, and a notification to the customer when ready. An Order my usual button. Loyalty: one stamp per paid drink, every 9 stamps = a free drink. Admin panel for menu, prices and marking items sold out per branch, plus sales reports by branch and hour. Store each line's price inside the order. Show me the plan first.
Try it in FanannLaunch checklist and common mistakes
- Place 10 test orders with different options and check the price every time.
- Simulate a rush: do slots fill up and does the app suggest the next one?
- Mark an item sold out in one branch and confirm it stays available in the others.
- Test curbside pickup with a real staff member outside.
- Check the receipt, VAT, business name and VAT number.
- Put a QR code to download the app on cups and the counter.
- Optimistic prep estimates that leave customers waiting at the counter
- Sorting orders by creation time instead of pickup time
- Too many options on the first screen
- Forgetting to stop orders before the branch closes
- Start with a conservative estimate and tune it from the first weeks of data
- Sort the barista screen by requested pickup time
- Show core options and tuck extras behind a button
- Stop ordering automatically a set time before closing
Once the web app works, publish to the App Store and Google Play from the same project through mobile apps, and browse more ideas in restaurant use cases.
Key takeaways
- Options and modifiers are the heart of a café app. Design them well from the start, because they set the price of every cup.
- Pre-order pickup works when prep times are realistic and the barista sees the order sequence clearly.
- Take payment upfront with mada and Apple Pay to cut no-show orders.
- Your own app does not replace delivery platforms, but it gives you a direct relationship with your regulars.
- Loyalty built into ordering beats a separate card: points are added automatically on every paid order.
Frequently asked questions
How do I make an ordering app for my coffee shop?
Do I need my own app if I am already on delivery platforms?
Can a café app accept mada and Apple Pay?
How does curbside pickup work in the app?
Can it become an iPhone and Android app?
How much does a coffee shop app cost?
Ask your AI assistant about this
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