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AI Ordering or Delivery Apps for Melbourne Restaurants?

An AI ordering system for restaurants vs Uber Eats and DoorDash: what Melbourne venues keep, what they give up, and how to work out if direct pays.

AI ordering system for restaurants: a direct ordering screen for a Melbourne venue with menu tiles, pickup times and a phone order line.

Friday at 7pm the phone rings out three times while the pass is full, and the delivery tablets keep chiming. The app orders come with a commission attached and a customer you will never be able to contact. The phone orders you missed were free, and they went to the place down the road.

Short answer: For a Melbourne restaurant, an AI ordering system wins on orders from people who already know you: regulars, locals who search your name, phone and Instagram customers. Delivery apps win on reach and drivers. Most venues should keep one app for discovery and add direct AI ordering for their own customers, then move regulars to direct with a small perk.

What changed for Melbourne restaurants and delivery apps?

The field narrowed. Menulog ceased operating in Australia on 26 November 2025, which left Uber Eats and DoorDash as the dominant delivery platforms. Fewer platforms means less leverage for a single venue, and more reason to own at least part of your ordering.

None of that makes the apps bad. They bring hungry people who have never heard of you, they run the drivers, and they handle payment disputes. The question is not whether to be on them. It is which orders you are paying them to take that you could have taken yourself.

Which orders are you paying commission on that you did not need to?

Look at three groups of customers, because they are worth very different amounts to an app:

  1. New customers who found you in the app. The app earned that order. Pay the commission happily.
  2. Regulars who order through the app out of habit. They already know you; the app is just the easiest button. This is the order you most want direct.
  3. People who tried to order directly and could not. They rang during service and nobody answered, or messaged on Instagram and waited, then opened an app. You paid commission because you were busy.

An AI ordering system is aimed squarely at groups two and three. It does nothing for group one, and you should not expect it to.

How do you work out whether direct ordering will pay?

Do the sum with your own numbers rather than anyone's averages. Your delivery app statements have everything you need.

  1. Monthly app sales: total from your Uber Eats and DoorDash statements.
  2. What it costs you: total commissions and fees on those statements, as a share of sales.
  3. Your realistic direct share: how much of that volume is regulars and locals who would order direct if it were as easy. Be conservative.
  4. Saving: monthly app sales, times your direct share, times your commission rate.
  5. Minus running costs: direct ordering has its own costs: payment processing, AI usage, hosting, and delivery if you offer it.

If step 4 minus step 5 pays back the build within a few months, direct ordering is worth building. If it does not, stay with the apps and revisit when your regular base is bigger. We will do this sum with you in an audit, and sometimes the honest answer is "not yet".

What does an AI ordering system for restaurants actually do?

It takes orders in the places your own customers already contact you, and puts them straight into your kitchen. In practice:

  • Answers the phone during the rush. Overflow and after-hours calls go to an AI that reads your menu, takes a pickup order, confirms it back, sends a payment link by SMS and fires it to the POS.
  • Takes orders by chat on your website, Google Business Profile link and Instagram messages, in the same way.
  • Answers menu questions from your own menu data: what is in the lamb, whether the gnocchi can be made vegan, what the spice level is. Allergy questions get answered only from the ingredients you have recorded, and anything uncertain goes to staff.
  • Upsells consistently with the pairings you choose, every time, not just when a server remembers.
  • Captures the customer. Name, phone and order history land in your own list, so you can tell regulars about the new winter menu without paying to reach them.

Comparison of delivery apps, POS online ordering and a custom AI ordering system. Apps bring new customers and drivers but charge commission and keep the customer data. POS ordering is low cost for web orders. The AI layer also takes phone and Instagram orders, answers menu questions and keeps customer data in your own list.

Caption: The middle column is where many venues should start; the AI layer earns its place when the phone and messages are the leak.

Is my POS's online ordering enough, or do I need custom software?

Often your POS is enough for web orders. Square, Lightspeed and Abacus, among others, offer online ordering connected to the POS, and if your problem is "we have no way to order online at all", switching that on is the cheapest first step (check what your plan includes).

Custom software earns its keep where those tools stop:

Need POS online ordering Custom AI ordering layer
A web order page Yes, usually built in Not needed if you have one
Answering the phone in the Friday rush No Yes, AI phone ordering into the POS
Orders from Instagram and Facebook messages Limited Yes, same AI and menu
Menu questions in plain English Static menu text Answers from your menu data, hands off allergies it cannot confirm
Your own rules (kitchen cut-off, pickup slots, large group orders) Basic settings Whatever you need
Customer list you can market to Partly, inside the POS Yes, in your own database

The sensible pattern is to keep your POS as the system of record and add the AI on top, so every order still lands where the kitchen already looks.

What does the build look like, and what does it cost?

Most AI ordering builds ship in two to four weeks at a fixed price. Week one is your menu, modifiers, pickup rules and the list of things the AI must never answer alone (allergies it cannot confirm, catering quotes, complaints). Then the phone and chat channels, the POS and payment connection, and testing against a few nights of real orders before a customer hears it.

For a single venue with phone and chat ordering into one POS, builds typically land at the lower to middle part of our $3,000 to $15,000 range; multi-venue groups and custom delivery logic sit higher. Running costs are hosting (usually under $50 a month) plus AI usage, roughly $20 to $200 a month depending on order volume, with voice minutes the bigger driver. These are estimates; your menu complexity and integrations set the number.

Delivery is the part to think through. The AI system takes the order; someone still has to drive it. Options are pickup only (simplest), your own drivers in a tight radius, or an on-demand courier service that delivers orders you took yourself (check what is available in your area). Many venues start with pickup and phone orders, where the savings are cleanest.

Where do staff stay in the loop?

On anything that needs judgement or carries risk: allergy questions the menu data cannot answer, large or catering orders, complaints, and refunds. These go to the manager on shift by SMS with the conversation attached. The AI should also tell callers it is an automated assistant, and offer a person if they ask.

If you are worried about how guests feel about AI in hospitality, we tackled that in will AI kill the vibe at Melbourne restaurants, and smaller venues may want to start with what Melbourne cafés should automate first.

Frequently asked questions

Should I leave Uber Eats or DoorDash?

Probably not straight away. Apps are how new customers find you, and pulling out cuts that off. Keep one platform for discovery, build your direct channel, and move regulars across with a small reason to order direct, such as a loyalty perk or a free side.

Can an AI really take phone orders during a busy service?

Yes, for standard pickup orders from a set menu. It reads back the order, takes modifiers, sends a payment link and pushes the docket to your POS. Unusual requests, big group orders and anything it is not sure of get passed to staff rather than guessed.

What about allergies and dietary questions?

The AI should answer only from the ingredients and allergen information you have recorded for each dish, and pass anything it cannot confirm to a staff member. Keeping that data accurate is your job, so the build includes a simple way for the kitchen to update it when a recipe changes.

Do I need an app for direct ordering?

No. Most customers will not download a single restaurant's app. A phone line that always answers, a web order page and replies to Instagram messages cover regulars without asking them to install anything.

Want to know what your app commissions are really buying?

Bring your last three months of delivery app statements and we will work through the sum with you: which orders are earning their commission and which are regulars you could take direct. Rootech is based in Melbourne (custom software in Melbourne). Book a free AI workflow audit; if you go ahead, the audit fee comes off your first project.

Free AI workflow audit

Wondering what this looks like for your business?

We’ll map where your hours and leads are leaking, and hand you a prioritised plan with dollar figures attached. The audit fee comes off your first project.

Get in touch